The Hcsc Data Analyst interview guide, interview questions, salary data, and interview experiences.

Hcsc Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Hcsc? The Hcsc Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Hcsc Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Hcsc.</li>
<li>Practice real Hcsc Data Analyst interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Hcsc Data Analyst interview.


Getting ready for an Data Analyst interview at Hcsc? The Hcsc Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Hcsc Data Analyst roles.
- Gain insights into the Data Analyst interview process at Hcsc.
- Practice real Hcsc Data Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Hcsc Data Analyst interview.
        

Overview

What Hcsc Looks for in a Data Analyst

Machine Learning

Bagging vs Boosting

Decision Tree Evaluation

Credit Card Fraud Model

Bias vs. Variance Tradeoff

Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

Statistics

P-value to a Layman

What are the assumptions of linear regression?

Assumptions of Linear Regression

Covariance vs Correlation

Describe linear regression to various audiences with different levels of knowledge.

Explaining Linear Regression to Different Audiences

Multicollinearity in Regression

Analytics

Describing a data project and its challenges

Hurdles In Data Projects

Strategically resolving misaligned expectations with stakeholders for a successful project outcome

Stakeholder Communication

How to present complex data insights with clarity and adaptability tailored to a specific audience

Presentations and Insights

Let's say that you work at TikTok. The goal for the company next quarter is to increase the daily active users metric (DAU).

Best DAU

Sports App Cheater

Write a SQL query to create a histogram of the number of comments per user in the month of January 2020.

Comments Histogram

Get the top 3 highest employee salaries by department

Top Three Salaries

Write a SQL query to count transactions filtered by several criterias.

Count Transactions

Write a query to find all users that were at some point "Excited" and have never been "Bored" with a campaign.

Always Excited Users

Total Spent on Products

Data Pipelines

Design a data pipeline for hourly user analytics.

Data Pipelines and Aggregation

Let's say that you're in charge of getting payment data into your internal data warehouse. 

Payment Data Pipeline

Challenge

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Hcsc Data Analyst Interview Process

Interview Tips

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Brainteasers

When an interviewer asks you a question along the lines of:

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

How should you respond?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

Describe a data project you worked on. What were some of the challenges you faced?

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

What are the assumptions of linear regression?

Which assumption of the residuals of the standard linear regression model can not be overcome by increasing the sample size?

Regression assumptions

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

How would you handle the data preparation for building a machine learning model using imbalanced data?

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Let’s say we’re comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? 

Give an example of the tradeoffs between the two.

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

Bagging vs. Boosting

Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Let’s say you work as a data scientist at a bank.

You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan they are taking out.

<ol>
<li>How would you evaluate whether using a decision tree algorithm is the correct model for the problem?</li>

<li>Let’s say you move forward with the decision tree model. How would you evaluate the performance of the model before deployment and after?</li>
</ol>

Given the <code>employees</code> and <code>departments</code> table, write a query to get the top 3 highest employee salaries by department. If the department contains less that 3 employees, the top 2 or the top 1 highest salaries should be listed (assume that each department has at least 1 employee). 

Note: The output should include the full name of the employee in one column, the department name, and the salary. The output should be sorted by department name in ascending order and salary in descending order. 

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>employee_nam</code>e</td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>department_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

How would you tackle multicollinearity in multiple linear regression?

Let’s you’re tasked with pitching a new feature for Google Home. Your co-worker comes to you with an idea to build a game feature for Google Home.

How would you go about deciding whether Google should build it?

Game Feature Home

Business Case

How would you explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician? Ensure your explanations are tailored to the understanding level of each audience.

You are given a dictionary with two keys <code>a</code> and <code>b</code> that hold integers as their values.

Without declaring any other variable, swap the value of <code>a</code> with the value of <code>b</code> and vice versa.

Note: Return the dictionary after editing it.

Example:

Input:

<pre tabindex="0" class="chroma"><code>numbers = {
 &#39;a&#39;:3,
 &#39;b&#39;:4
}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def swap_values(numbers) -&gt; {&#39;a&#39;:4,&#39;b&#39;:3}
</code></pre>

Swap Variables

Data Structures & Algorithms

Let’s say you have analytics data stored in a data lake. An analyst tells you they need hourly, daily, and weekly active user data for a dashboard that refreshes every hour.

How would you build this data pipeline?

Let’s say you’re interning at a fintech startup that’s building a platform for online games of chance. During testing, one of your simulations flips a coin 10 times and gets 8 tails and 2 heads.

How would you determine if the coin is fair, and what statistical approach would you use to support your conclusion?

How would you assess if a coin is fair after observing 8 tails in 10 flips?

Fair Coin

Probability

How comfortable are you presenting your insights?

Let’s say that you’re in charge of getting payment data into your internal data warehouse.

How would you build an ETL pipeline to get Stripe payment data into the database so analysts can build revenue dashboards and run analytics?

You work as a machine learning engineer for a health insurance company. Design a machine learning model, which given a set of health features, classifies if the individual will undergo major health issues or not.

Creating a machine learning model for evaluating a patient's health

Risk Assessment Model

What does it mean to “bootstrap” a data set?

Give an example of a time when it would be appropriate to bootstrap a smaller sample(s) from a larger data set.

What are the advantages and disadvantages of doing so?

What does it mean to "bootstrap" a data set?

Bootstrapping Samples

Let’s say that you’re working at a global trading company and you’re analyzing the price of a particular asset over time. This dataset is super noisy, volatile, and you’re not guaranteed completely accurate data.

How would you analyze this data to ensure there aren’t any discrepancies?

Time Series Discrepancies

Forecasting & Time Series

What is the difference between covariance and correlation? Provide an example.

A product manager at Facebook comes to you and tells you that friend requests are down 10%.

What would you do?

You work as a data analyst on a social media platform similar to Facebook. If you observe a 10% decline in friend requests over the last three months, which analysis or metric-tracking approach could aid in uncovering the reasons?

You work as a data analyst on a social media platform similar to Facebook. If you observe a 10% decline in friend requests over the last three months, which analysis or metric-tracking approach could aid in uncovering the reasons?

Friend Requests Down

Let’s say we want to build a new algorithm for Lyft Line.

How should we test it, measure success of the test, and eventually roll it out?

Building Lyft Line

A/B Testing

You work as an ML engineer for a large company. The company wants to implement a machine learning system that utilizes facial recognition to facilitate employee clock-in, clock-out, and access to secure systems. The company also hires temporary contract consultants who need to be able to use the system.

How would you design this system?

Designing a secure and user-friendly facial recognition system for employee management while prioritizing privacy and ethical considerations

Distributed Authentication Model

Let’s say that you work at TikTok. The goal for the company next quarter is to increase the daily active users metric (DAU).

<ul>
<li>Executive A believes the best way to increase DAU is to improve the recommendation algorithm in TikTok’s “For You” feature (Tiktok news feed).</li>

<li>Executive B believes the best way to increase DAU is to acquire more new users.</li>

<li>Executive C believes the best way to increase DAU is to improve the creator tools.</li>
</ul>

The engineering team must prioritize one feature at a time.

<ol>
<li>How do you figure out which executive is right?</li>

<li>What data points and metrics would help validate your choice?</li>
</ol>

Let’s say we have an <code>annual_payments</code> table. Answer the following three questions via SQL queries and output them as a table with the answers to each question.

<ol>
<li>How many total transactions are in this table?</li>
<li>How many different users made transactions?</li>
<li>How many transactions listed as <code>&#34;paid&#34;</code> have an amount greater or equal to 100?</li>
<li>Which product made the highest revenue? (use only transactions with a <code>&#34;paid&#34;</code> status)</li>
</ol>

Example:

Input:

<code>annual_payments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>amount</code></td>
<td>FLOAT</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>status</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>amount_refunded</code></td>
<td>FLOAT</td>
</tr>

<tr>
<td><code>product</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_updated</code></td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>question_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>answer</code></td>
<td>TEXT</td>
</tr>
</tbody>
</table>

Write a SQL query to create a histogram of the number of comments per user in the month of January 2020.

Note: Assume bin buckets class intervals of one.

Note: Comments that were created outside of January 2020 should be counted in a “0” bucket

Example:

Input:

<code>users</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>neighborhood_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>mail</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<code>comments</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>body</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>comment_count</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>frequency</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Hcsc Data Analyst Interview Questions

About the RoleWe are looking for a Patient Experience Intern to support initiatives that improve patient satisfaction and overall service quality.This role is ideal for students or fresh graduates who are passionate about customer service, healthcare operations, and service excellence.Key Responsibilities<ul><li>Support patient satisfaction survey distribution and data collection</li><li>Assist in analyzing patient feedback and preparing reports</li><li>Help monitor service quality indicators and improvement initiatives</li><li>Support complaint handling documentation and follow-up tracking</li><li>Assist in patient journey mapping and service improvement projects</li><li>Coordinate with internal departments to support patient experience programs</li></ul>Requirements<ul><li>Final-year student or fresh graduate (Hospitality, Public Health, Psychology, Management, or related field)</li><li>Strong communication and interpersonal skills</li><li>Detail-oriented and organized</li><li>Comfortable working with data (Excel / Google Sheets)</li><li>Willing to interact directly with patients when required</li><li>Passionate about improving service quality</li></ul>

Job Title: Data Analyst / Data ScientistLocation: Pune Experience: 8+ Years Employment Type: Full-time Joining: Immediate Joiner PreferredRole OverviewWe are looking for an experienced Data Analyst / Data Scientist with 8+ years of experience who can translate complex data into actionable insights to support business decisions. The candidate will work closely with business stakeholders, data engineers, and leadership teams to analyze large datasets, build predictive models, and create data-driven solutions.Key Responsibilities<ul><li>Analyze large and complex datasets to identify trends, patterns, and insights that support business decision-making.</li><li>Develop predictive and statistical models to solve business problems.</li><li>Design and build data dashboards and reports using BI tools.</li><li>Work with cross-functional teams to understand business requirements and translate them into data analytics solutions.</li><li>Perform data cleaning, transformation, and validation to ensure data quality and accuracy.</li><li>Develop and optimize data pipelines and data processing workflows.</li><li>Present analytical findings and recommendations to stakeholders and leadership teams.</li><li>Apply machine learning algorithms and statistical techniques where relevant.</li><li>Ensure proper documentation of data models, processes, and analysis.</li></ul>Required Skills<ul><li>Strong experience in Python or R for data analysis and modeling.</li><li>Proficiency in SQL and database management.</li><li>Experience with data visualization tools such as Power BI, Tableau, or Looker.</li><li>Hands-on experience with machine learning libraries (Scikit-learn, TensorFlow, or similar).</li><li>Strong knowledge of statistics, predictive modeling, and data mining techniques.</li><li>Experience working with large datasets and data warehousing environments.</li><li>Strong analytical thinking and problem-solving abilities.</li><li>Excellent communication and stakeholder management skills.</li></ul>Preferred Qualifications<ul><li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.</li><li>Experience with big data technologies such as Spark, Hadoop, or cloud platforms (AWS, Azure, GCP).</li><li>Exposure to ETL processes and data engineering concepts.</li><li>Experience in AI/ML model deployment is an added advantage.</li></ul>Key Competencies<ul><li>Data Analysis & Visualization</li><li>Predictive Modeling</li><li>Machine Learning</li><li>Statistical Analysis</li><li>Business Insight Generation</li></ul>

JD - Lead Data Analyst About Credit Saison India Established in 2019, Credit Saison India (CS India) is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population.Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. Credit Saison India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.Currently, Credit Saison India has a branch network of 80+ physical offices, 2.06 million active loans, an AUM of over US$2B and an employee base of about approx ~2000 employees.Credit Saison India is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Based in Singapore, Saison International’s global operations span over Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil, with active investments in debt, equity, corporate venture capital, and technology. Roles & Responsibilities: ● Develop insights to identify opportunities and drive product strategies. Gain insight intocustomer use of current products, untapped opportunities and buyer personas.● Partner with product/business teams to define goals and identify key metrics for existingfeatures and new releases● Build automated dashboards and reports, craft analyses and tell stories with data to helpour teams make better decisions● Drive awareness and understanding of key metrics and experiment results● Monitor the performance of new features and recommend iterations based on yourfindings● Deep dive into assessment of key drivers for KPIs by drawing relevant businesshypothesis and quantify the impact of these drivers on the relevant KPI● Execute deep & complex quantitative analyses that translates data into actionableinsights● Drive data driven decision making through the stakeholders.● Work with complex, non-routine analytical problems, applying advanced methods whenneeded.● Influence data-driven decisions across the business spectrum - product/data science/engineering/finance / partnerships - through end-to-end ownership of projects● Collaborate and coordinate across functions to dissect business, product, growth,acquisition, retention, and operational metrics. Required skills & Qualifications: ● Bachelor's degree in Computer Science, Engineering or related field from top tier(IIT/IIIT/NIT/BITS) and work experience with 3-5 years experience in a data analysisrelated profile for an internet company● The ability to clearly and effectively communicate the results of complex analyses● Is detail oriented, with a strong passion for analytics and problem solving● Is excited to work in a fast paced environment, is comfortable with making decisionsin ambiguity, and has a strong bias for action.● Working knowledge of data mining principles: predictive analytics, mapping,collecting data from multiple data systems, api frameworks, storage systems onpremises and cloud-based data sources along with strong SQL skills.● Understanding of and experience using analytical concepts and statisticaltechniques: hypothesis development, designing tests/experiments, analyzing data,drawing conclusions, and developing actionable recommendations for business units.● Experience and knowledge of statistical modeling techniques: GLM multipleregression, logistic regression, log-linear regression, variable selection, etc.● Experience with Excel, Word, and PowerPoint.● Strong background in statistical modeling and experience with statistical tools suchR, Python, Spark, SAS or SPSS.● Able to self-manage your priorities and deliverables while working in a fast-paced,startup environment● Have hands-on experience with visualization tools (Tableau, PowerBI, Qlikview, D3.Js● Any exposure to the Fintech industry, preferably digital lending background, is aplus.

Job Description SummaryWe are seeking a Data Analyst with 3-4 years of hands-on industry experience in Power BI analytics, data modeling, and business insight delivery, supported by strong Python capability for data preparation, analysis, and automation.This role is primarily focused on building and owning enterprise-grade Power BI dashboards used by stakeholders. The candidate must have delivered real production analytics solutions. Job DescriptionResponsibilities:Power BI Development & Analytics <ul><li>Design, develop, and maintain Power BI dashboards and reports for KPIs and operational insights.</li><li>Build robust data models (star schema, relationships, calculated tables).</li><li>Develop advanced DAX measures and optimize for performance and usability.</li><li>Implement Row-Level Security (RLS), refresh schedules, and governance best practices.</li><li>Troubleshoot data quality issues, refresh failures, and performance bottlenecks.</li><li>Own dashboard lifecycle: requirements → build → UAT support → deployment → enhancements.</li></ul> Data Analysis, Automation & Preparation (Python + SQL)<ul><li>Use Python to clean, transform, and analyse datasets (e.g., pandas, numpy) and to automate recurring analysis/reporting tasks.</li><li>Use SQL to extract, validate, and reconcile data across systems.</li><li>Create reusable data preparation scripts and support dataset readiness for reporting.</li><li>Perform root-cause analysis and explain “why” behind trends, not just “what”.</li></ul> Data Storytelling & Executive Reporting<ul><li>Translate analysis into clear, actionable business insights.</li><li>Produce professional PowerPoint decks that communicate trends, risks, and recommendations.</li><li>Present insights to both technical and non-technical stakeholders with clarity.</li></ul> Backend & Integration Support<ul><li>Support integration work using Node.js (e.g., REST APIs, data services, connecting to internal systems).</li><li>Build or maintain simple services/scripts to enable data movement or analytics integration.</li><li>Must be based on real implementation experience (not academic-only).</li></ul> AI/ML Exposure<ul><li>Experience with machine learning algorithms and tools (e.g Pytorch, R, scikit-learn, TensorFlow, Python).</li><li>Apply basic models where useful (forecasting, anomaly detection, clustering) using Python libraries.</li><li>Understand how predictive outputs can be operationalized into dashboards.</li></ul> Qualifications:<ul><li>Bachelor’s degree in quantitative field (Statistics, Math, CS, Engineering, etc.) or equivalent.</li><li>3–4 years of hands-on experience delivering Power BI dashboards in production.</li><li>Strong Power BI skills: data modeling, DAX, report development and performance optimization.</li><li>Strong Python skills for data analysis and automation (hands-on experience required).</li><li>Solid SQL capability.</li><li>Hands-on Node.js exposure with real delivery experience (APIs / integration support).</li><li>Strong communication, stakeholder management, and problem-solving skills.</li><li>IT / enterprise application environment experience is a plus.</li></ul>

<h3>Job Description</h3><div>Job Description<div>Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities. By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones.Kentro is hiring an experienced Mid-Level Data Analyst to support our intel customer. The analyst will provide advanced data analytics and predictive strategic workforce planning via on-demand, intuitive web-based capabilities and reporting. The candidate will assist with developing standardized data operating procedures and reporting to ensure complete and consistent application across all career fields (CF). The candidate will perform work and tasks that extend to CFs and mission owners and may also extend to the DIA Equal Opportunity & Diversity Office (EO) and the Office of the Chief Financial Officer (CFO). Responsibilities:<ul><li>Create mechanisms that allow for more self-service, on-demand options for customers, such as dashboards or self-service querying capabilities — at all levels of the Agency — seeking information on Agency personnel statistics to include career field, locations, grade, race/national origin, promotion rates, hiring, attrition, etc. Create a tool to track customer requests and customer usage of dashboards and on-demand services. Compile and maintain personnel statistics to provide comprehensive and historical reports on the Agency’s workforce. This may also include modernizing, centralizing, and streamlining the self-service access to HR data and strategic workforce analytics dashboard/reporting.</li><li>Support the Senior Executive Management Office (SEMO) by conducting workforce analysis to identify eligible applicant submissions and panel evaluations to provide annual snapshot of the Defense Intelligence Senior Executive Service (DISES) and Defense Intelligence Senior Leader (DISL) population for hiring, attrition, diversity, tenure, and retirement projections; and provide ad hoc analysis and reports DISES and DISL population to SEMO and Agency leadership</li><li>Operate and maintain an Agency HR “data dictionary” to standardize how data is defined and calculated.</li><li>Gather key performance indicators (KPIs) and milestones for OHR’s functional areas. Determine data source(s) supporting KPIs and milestones.</li><li>Integrate and implement requirements communicated by agency leadership, mission owners, and career fields to ensure consistency with OHR’s dashboard/reporting efforts.</li><li>Conduct predictive strategic workforce analysis to facilitate the Agency’s ability to hire, develop, and retain talent in alignment with HR strategy that meets future mission planning requirements at all grade levels for all CFs. Perform advanced analytics across the five pillars of the Talent Management System throughout the enterprise to provide timely and accurate metrics and reports to allow the CFs to make data-driven decisions to inform talent analysis, planning, and management. Monitor and report on the health of the CFs, perform data analysis on fill rates, strength, talent pipeline, and anticipated attrition,</li><li>Utilize “Career EXPLORER” and associated talent development tools’ quantitative and qualitative data with myHR and other Agency HR Information System data to conduct strategic workforce analytics, including strategic talent acquisition, assignment and placement, and talent continuity.</li></ul>Location: Reston, VASalary Range: The salary for this position is between $165,000 – $185,000 annually. Factors affecting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.Requirements<ul><li>Advanced knowledge of Excel (formulas, pivot tables, etc.)</li><li>Ability to write SQL code; Ability to query tables using SQL and analyze results.</li><li>Bachelor's degree in analytics or related field</li><li>5 - 7 Years of data analyst experience</li><li>Experience with SQL Python (Must be discussed in resume on use and in what positions)</li></ul>Preferred Skills:<ul><li>Master’s degree</li><li>Experience in applying analytics best practices to human capital problems and hypotheses.</li><li>Experience with the Intelligence Community (IC)</li><li>Experience with Workforce/Talent Management/Analytics</li><li>Experience with Tableau highly preferred and stated in the resume when used</li></ul>Clearance requirements:<ul><li>Must have an active TS/SCI at the time of hire and willing/able to get CI Polygraph</li><li>Must meet updated ID requirements: https://www.gsa.gov/technology/it-contract-vehicles-and-purchasing-programs/federal-credentialing-services/get-appointment-help/bring-required-documents</li><ul><li>If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully. </li></ul></ul>BenefitsThe CompanyWe believe in generating success collaboratively, enabling long-term mission success, and building trust for the next challenge. With you as our partner, let’s solve challenges, think innovatively, and maximize impact. As a valued member of our team, you have the unique opportunity to work in a diverse range of technology and business career paths, all while supporting our nation and delivering innovative technology solutions. We are a close community of experts that pride ourselves on creating an environment defined by teamwork, dedication, and excellence.We hold three ISO certifications (27001:2013, 20000-1:2011, 9001:2015), two CMMI ML 3 ratings (DEV and SVC) and CMMC Level 2 Certification. Industry RecognitionGrowth | Inc 5000’s Fastest Growing Private Companies, DC Metro List Fastest Growing; Washington Business Journal: Fastest Growing Companies, Top Performing Small Technology Companies in Greater D.C.Culture | Northern Virginia Technology Council Tech 100 Honoree; Virginia Best Place to Work; Washington Business Journal: Best Places to Work, Corporate Diversity Index Winner – Mid-Size Companies, Companies Owned by People of Color; Department of Labor’s HireVets for our work helping veterans transition; SECAF Award of Excellence finalist; Victory Military Friendly Brand; Virginia Values Veterans (V3); Cystic Fibrosis Foundation Corporate Breath AwardBenefitsWe offer competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. We invest in our employees – Every employee is eligible for education reimbursement for certifications, degrees, or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course, complete a certification, or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development.We work hard; we play hard. Kentro is committed to incorporating fun into every day. We dedicate funds for activities – virtual and in-person – e.g., we host happy hours, holiday events, fitness & wellness events, and annual celebrations. In alignment with our commitment to our communities, we also host and attend charity galas/events. We believe in appreciating your commitment and building a positive workspace for you to be creative, innovative, and happy.Commitment Equal Opportunity Employment & VEVRAA Kentro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state or local law.Kentro is strongly committed to compliance with VEVRAA and other applicable federal, state, and local laws governing equal employment opportunity. We have developed comprehensive policies and procedures to ensure our hiring practices align with these requirements.As part of our VEVRAA compliance efforts, Kentro has established an equal opportunity plan outlining our commitment to recruiting, hiring, and advancing protected veterans. This plan is regularly reviewed and updated to ensure its effectiveness.We encourage protected veterans to self-identify during the application process. This information is strictly confidential and will only be used for reporting and compliance purposes as required by law. Providing this information is voluntary and will not impact your employment eligibility.Our commitment to equal employment opportunity extends beyond legal compliance. We are dedicated to fostering an inclusive workplace where all employees, including protected veterans, are treated with dignity, respect, and fairness.How to ApplyTo apply to Kentro Positions- Please click on the: “Apply for this Job” button at the bottom of this Job Description or the button at the top: “Application.” Please upload your resume and complete all the application steps. You must submit the application for Kentro to consider you for a position. If you need alternative application methods, please email careers@kentro.us and request assistance. AccommodationsTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. If you need to discuss reasonable accommodations, please email careers@kentro.us. #LI-SB2#kentro</div></div>

The responsibility is to construct and manage reporting suites for all brands, encompassing both standardised and customised reports. This entails establishing the necessary infrastructure to facilitate self-driven reports in a standardized format. Key Responsibilities:• Construct Reporting Suites: Develop and maintain reporting suites for all brands, ensuring they align with business objectives and client requirements. Design a comprehensive framework that accommodates both standardised and customised reports.• Standardise Reporting Formats: Establish and enforce standardised reporting formats to maintain consistency across brands. Define key metrics, data sources, and visualisation styles to ensure uniformity in reporting.• Customise Reports: Collaborate with stakeholders including clients to understand specific reporting needs and create customised reports that address their unique requirements. Tailor reports to provide relevant insights and support decision-making processes.• Establish Infrastructure: Set up the necessary infrastructure to facilitate self-driven reports. Implement user-friendly tools and platforms that enable stakeholders to access, analyse, and generate reports independently.• Ensure Data Accuracy: Develop and implement data validation and quality assurance processes to ensure the accuracy and integrity of the information presented in the reporting suites. Regularly review data sources and update reporting systems accordingly.• Collaborate with Cross-functional Teams: Work closely with various teams, including marketing, sales, data analytics, and IT, to gather data inputs, define reporting requirements, and streamline data collection processes.<ul><li>Foster collaboration to ensure the timely delivery of accurate and actionable reports.</li></ul>• Provide User Support and Training: Offer training and support to stakeholders on utilising the reporting suites effectively. Address any user queries, provide guidance on interpreting reports, and encourage self-driven reporting capabilities.• Monitor Reporting Performance: Track and evaluate the performance of reporting suites, including report usage, user feedback, and overall effectiveness. Continuously improve and optimise reporting processes based on feedback and changing business needs.• Revamp Reporting Tools: Assess the existing reporting tools and identify areas for improvement. Implement enhancements and upgrades to ensure the tools are efficient, user-friendly, and capable of delivering accurate and actionable insights.• Standardise Client Reports: Establish a standardised set of client reports that capture key performance indicators, metrics, and insights across all brands. Ensure the reports are comprehensive, visually appealing, and easily accessible to internal stakeholders and clients.• Drive Innovation: Foster a culture of innovation within the reporting team, encouraging creativity and continuous improvement. Explore emerging technologies and data visualisation techniques to enhance reporting capabilities and deliver value-added insights.• Analyse Data and Provide Insights: Analyse data collected from various sources to identify trends, patterns, and areas of improvement. Translate data into meaningful insights and recommendations to drive business growth and support decision-making processes.• Ensure awareness and alignment with the relevant Quality ISO standards, as well as compliance with legislative and ManpowerGroup health and safety environmental standards, safe work, procedures and instructions Qualifications & Experience:<ul><li>Bachelor's degree in business administration, data analytics, computer science, or a related field.</li></ul>• Minimum 6 yrs experience in data analyst.• St rong knowledge of ETL processes, data pipelines, and data integration.• 3+ years of exper ience in VBA/Macros development and debugging.• 2+ years of hands-on exper ience with Python for data analysi s or automat ion.• Proven experience in constructing and managing reportin g suites, preferably in a multi-brand or agency environment.• Proficiency in reporting and data visualisation tools such as Tableau, Power BI etc

Operations / Project / Data Analyst Technical Skills Essential-<ul><li>Cards and Payments consulting experience</li><li>Strong client presentation and communication skills</li><li>Credit card authorisation knowledge</li><li>Effective project coordination and stakeholder management</li><li>Proficiency in Microsoft Word and Excel</li><li>Ability to coordinate meetings and summarise solution designs clearly</li></ul> Desirable-<ul><li>Experience with Snowflake, Tableau, Salesforce, and advanced Excel</li><li>Data analysis experience</li><li>Ability to develop PowerPoint training materials</li></ul> Job Description <ul><li>Provide operational support to acquirers, issuers, network-to-network partners and processors, researching and resolving complex operational issues.</li><li>Support business development teams in expanding acceptance, issuance and optimisation of authorisation approval rates.</li><li>Assist participants through the semi-annual release process, managing and coordinating certification activities.</li><li>Ensure participants remain compliant with network operating rules and regulations, coordinating EMEA compliance activities including waivers, audits and BCP data reviews.</li><li>Engage with participants and internal stakeholders to support network initiatives, including settlement issue resolution and ProtectBuy / SCA project coordination.</li><li>Analyse end-to-end transaction processing (authorisations, clearing, disputes etc.) Troubleshoot issues and acceptance complaints, and support issuer and acquirer launches.</li><li>Lead the Salesforce initiative to improve efficiency and automate EMEA reporting.</li><li>Manage EMEA data analysis and presentations for forums, business reviews and ad-hoc reporting.</li><li>Coordinate closely with Senior Managers and Directors to support strategic initiatives and operational priorities.</li></ul>

Location- Hyderabad Shift - EST Time Services Description Within Global Productivity, the Business Process Transformation team is focused on driving business process changes across tooling, processes and policies, to facilitate incremental Sales productivity. This role will be driving GTM process and systems transformation, including system and data analysis, bugs and enhancement and support. The SSO Data Analyst, the role will support or lead the entire delivery lifecycle for process and system changes: Analysis, Requirements Gathering, Support Build, Testing, Change Management, Communication and Reporting and Dashboard creation. <ul><li>Work cross-functionally to investigate and do analysis on system issues</li><li>Work Salesforce enhancement queue and drive system changes</li><li>Create JIRA Tickets for Salesforce enhancements</li><li>System and sales workflow management Analysis and Investigation. Improve business processes through data driven decisions.</li><li>Create SFDC Reporting and Dashboards </li></ul>Qualifications <ul><li>Salesforce Experience</li><li>Data Analytics (Excel data manipulation, Data Loader or similar)</li><li>Sales Operations (or similar)</li><li>SFDC reporting and dashboard</li><li>Creating business requirement and user story documentation</li><li>Communicate clearly, proactively, and concisely with stakeholders</li><li>Nice to Have</li><li>SQL and Tableau Experience</li><li>Jira Experience</li></ul>

<h3>Job Description</h3><div>Job Description<div>OverviewThe Business Data Analyst provides management and analysis of business data for use in decision making and organizational efficiency improvement initiatives. The Analyst will compile and compute data, using data from various software systems and databases. The Analyst will use statistical formulas, graphs, and other types of reports to effectively convey data analysis and trends to appropriate leadership and other stakeholders.Company OverviewWith roots dating to 1891 and 8,500+ employees, MYR Group Inc. (MYR Group) is a publicly traded holding company of specialty electrical construction companies. MYR Group subsidiaries work on large-scale electrical construction projects throughout the U.S. and Canada. We contribute to a clean energy future while fostering a safe, supportive, and inclusive work environment. Our culture is built on shared values and mutual respect, where teamwork and collaboration occur naturally. Throughout our rich history, we have partnered with utilities, municipalities, commercial clients, and developers to deliver some of the largest and most complex projects, including new construction, upgrades, maintenance and repair for transmission, distribution and substation facilities, commercial and industrial electrical construction, emergency and storm restoration, clean energy, pre-construction services, and engineer-procure-construct (EPC) methods of project delivery.MYR Group Inc. Job Title: Business Data Analyst Location: 3491 W 250 N, Bargersville, IN 46106 Duties: Analyze medical incidents and accidents data and fleet data to extract valuable insights, contributing to enhanced business performance. Perform research, analysis, coding, testing and debugging of reports and dashboards utilizing PowerBI, Microsoft Excel, and related tools. Responsible for taking questions within our business and finding the answers through the data, using reports and dashboards. Analyze data to gain insights, provide information, and make recommendations to the appropriate business units. Present effective data analysis (graphs, charts, or reports) to internal stakeholders and leadership, participate in the publication of data or information. Build partnerships and work collaboratively with other department stakeholders to ensure consistent focus on producing quality deliverables in a timely manner. Compute and analyze data, using statistical formulas and computers or calculators. File data and related information and maintain and update databases. Assist leadership in process standardization within the fleet and safety departments to ensure accuracy of data capture. Validate and standardize source data to verify completeness and accuracy. Aggregate and perform statistical analysis on business data based on requests from project teams or senior leadership. Integrate data from multiple data sources or functional areas, ensure data accuracy and integrity, and update data as needed. Write queries or reports to provide data for various analytical projects. Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement. Requirements: Must have Bachelor's degree (or foreign equivalent) in Health Informatics, Data Science, or related field; 1 year of experience as a Data Analyst or a related position, which must include: Analyzing medical records using Excel, SQL, and Power BI to identify trends, key metrics, and bottlenecks to improve process efficiency and build expertise in handling large datasets to support efficient business processes. Developing interactive Power BI dashboards to visualize performance metrics, supporting data-driven decision-making and enhancing communication of key findings to leadership. Cleaning and standardizing large datasets using Excel and Power BI, ensuring data accuracy and reliability.Email resume to Human-Resources@myrgroup.com, Ref: 6572 ResponsibilitiesRequirements: Must have Bachelor's degree (or foreign equivalent) in Health Informatics, Data Science, or related field; 1 year of experience as a Data Analyst or a related position, which must include: Analyzing medical records using Excel, SQL, and Power BI to identify trends, key metrics, and bottlenecks to improve process efficiency and build expertise in handling large datasets to support efficient business processes. Developing interactive Power BI dashboards to visualize performance metrics, supporting data-driven decision-making and enhancing communication of key findings to leadership. Cleaning and standardizing large datasets using Excel and Power BI, ensuring data accuracy and reliability. QualificationsCompensation & BenefitsPosition may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need an accommodation as part of the employment process, contact our Employment Hotline at 1-855-635-1321.MYR Group, Inc. and our subsidiaries are proud to be Equal Opportunity Employers. We promote diversity of thought, culture, and background, which connects our family of brands. We are committed to a work environment that supports, inspires, and respects all individuals and in which personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, or other protected characteristics. We celebrate diversity and are committed to creating an inclusive environment for all employees.MYR Group, Inc. and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team.</div></div>

<h3>Job Description</h3><div>Job Description<div><div>Job Purpose: Data Analysts are responsible for supporting the ongoing management and maintenance of operational data within Microsoft Dynamics 365 Finance & Operations. This role focuses on implementing new menu items, maintaining pricing and fees, managing customer and vendor master data, and supporting ad-hoc reporting needs across the organization. The analyst will work closely with Finance, Operations, and IT teams to ensure data accuracy, system integrity, and timely reporting. This position plays a key role in maintaining core business data and supporting system users. Responsibilities and Associated Duties:<ul><li>Implement new menu items and maintain item data within D365</li><li>Maintain and update pricing structures, fees, and related configuration within D365</li><li>Create and maintain customer and vendor master data</li><li>Maintain and update operational data across the D365 platform</li><li>Support ad-hoc reporting requests using SQL and available reporting tools</li><li>Extract, analyze, and validate data from ERP systems to support operational and financial reporting</li><li>Ensure data accuracy, completeness, and integrity across system records</li><li>Assist business users with data-related requests and troubleshooting</li><li>Identify opportunities to improve data processes and system efficiency</li><li>Work with Finance, Operations, and IT teams to ensure accurate system configuration and reporting outputs</li><li>Document processes related to ERP data maintenance and reporting procedures</li></ul>Measures of Success:<ul><li>Accurate and timely implementation of new items, pricing, and data updates within D365</li><li>Timely completion of ad-hoc reporting requests</li><li>Maintenance of high data quality standards within ERP systems</li><li>Effective support of business users across Finance and Operations</li><li>Identification and resolution of data issues impacting business processes</li><li>Clear communication and collaboration with internal stakeholders</li><li>Adaptability to changing business priorities and needs</li></ul>Knowledge, Experience and Skill Requirements:<ul><li>Prior experience working with ERP systems (Microsoft Dynamics 365 preferred)</li><li>Strong SQL skills for data extraction and analysis (required)</li><li>Experience managing or maintaining operational or financial data within business systems</li><li>Strong analytical and problem-solving abilities</li><li>Ability to interpret business requirements and translate them into data or reporting solutions</li><li>Strong attention to detail and data accuracy</li><li>Effective communication and collaboration skills</li><li>Experience with data visualization tools, such as Power BI</li></ul> Benefits Package:<ul><li>Air Culinaire Worldwide employees have the flexibility to design the benefit selections best suited for their needs. </li><li>Full Time employees are eligible for healthcare and supplemental benefits on the first day of the month, following 30 days of employment. </li><li>401 (K) Retirement Plan with a discretionary 100% employer match of the first 6% of participant contributions. </li><li>Plan entry is the first day of the month following 30 days of employment. </li><li>Three (3) medical plans to choose from, with an excellent employer contribution.</li><li>Available Dental and Vision insurance </li><li>Company paid basic life insurance, with the option to elect additional voluntary term life.</li><li>Company paid short-term and long-term disability insurance.</li><li>Available supplemental benefits, including critical illness, accident insurance, hospital indemnity insurance and pet insurance.</li><li>Health Savings Account and Flexible Spending Account available (for eligible plans)</li><li>Generous Vacation Program for full time employees</li><li>Employee Assistance Program (EAP)</li><li>See our benefits here 2026 Benefits Guide</li><li>Watch Me To Learn About How Exciting it is to Work for Air Culinaire Worldwide</li></ul>Final candidate for the position will be required the following:<ul><li>Pre- employment background check</li><li>Pre-employment Drug Test</li><li>MVR (if applicable to the position)</li><li>E-Verify</li></ul> Disclaimer:This position description highlights a general description of duties and responsibilities. Employee(s) may be assigned other duties, in addition to or in lieu of those described herein, and any duties are subject to change at any time, according to the needs of the location or Company. Air Culinaire Worldwide, LLC. does not discriminate in any way to deprive any person of employment opportunities or otherwise adversely affect the status of any employee because of race, color, religion, sex, sexual orientation, genetic information, gender identity, national origin, age, disability, citizenship, veteran status, or military or uniformed services, in accordance with all applicable governmental laws and regulations. </div></div></div>

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