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

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

You’re a data analyst working for Burlington studying customer behavior during the annual Black Friday shopping spree. Each customer may visit the store multiple times throughout the day and make several purchases across different product categories. The marketing team wants to understand which customer segments were most engaged.

Write a SQL query to compute the following metrics for each product category:

<ol>
<li>Total number of unique customers who purchased from that category</li>
<li>Average spend per customer (rounded to 2 decimal places)</li>
<li>Percentage of customers who made more than one purchase in that category (rounded to 2 decimal places)</li>
</ol>

Sort the final results in descending order by average spend per customer.

Notes:

<ul>
<li>A “purchase” means a single row in the purchases table.</li>
<li>A customer who buys multiple items in one visit still counts as multiple purchases.</li>
<li>If a customer purchased from a category only once, they should not count toward the “multiple purchase” percentage.</li>
<li>Every category present in the purchases table should appear in the output.</li>
</ul>

Schema

Input

<code>purchases</code> table

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

<tbody>
<tr>
<td>purchase_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>customer_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>category</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>amount</td>
<td>DECIMAL</td>
</tr>

<tr>
<td>purchase_time</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
Output

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

<tbody>
<tr>
<td>category</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>unique_customers</td>
<td>INTEGER</td>
</tr>

<tr>
<td>avg_spend_per_customer</td>
<td>DECIMAL</td>
</tr>

<tr>
<td>pct_multi_purchase_customers</td>
<td>DECIMAL</td>
</tr>
</tbody>
</table>
Example

Input

<code>purchases</code> table

<table>
<thead>
<tr>
<th>purchase_id</th>
<th>customer_id</th>
<th>category</th>
<th>amount</th>
<th>purchase_time</th>
</tr>
</thead>

<tbody>
<tr>
<td>1</td>
<td>101</td>
<td>Electronics</td>
<td>120</td>
<td>2025-11-28 09:10:00</td>
</tr>

<tr>
<td>2</td>
<td>101</td>
<td>Electronics</td>
<td>80</td>
<td>2025-11-28 10:00:00</td>
</tr>

<tr>
<td>3</td>
<td>102</td>
<td>Clothing</td>
<td>40</td>
<td>2025-11-28 11:15:00</td>
</tr>

<tr>
<td>4</td>
<td>103</td>
<td>Electronics</td>
<td>300</td>
<td>2025-11-28 13:30:00</td>
</tr>

<tr>
<td>5</td>
<td>102</td>
<td>Electronics</td>
<td>150</td>
<td>2025-11-28 14:10:00</td>
</tr>

<tr>
<td>6</td>
<td>102</td>
<td>Clothing</td>
<td>10</td>
<td>2025-11-28 16:20:00</td>
</tr>

<tr>
<td>7</td>
<td>103</td>
<td>Clothing</td>
<td>50</td>
<td>2025-11-28 17:20:00</td>
</tr>
</tbody>
</table>
Output

<table>
<thead>
<tr>
<th>category</th>
<th>unique_customers</th>
<th>avg_spend_per_customer</th>
<th>pct_multi_purchase_customers</th>
</tr>
</thead>

<tbody>
<tr>
<td>Electronics</td>
<td>3</td>
<td>216.67</td>
<td>33.33</td>
</tr>

<tr>
<td>Clothing</td>
<td>2</td>
<td>50.00</td>
<td>50.00</td>
</tr>
</tbody>
</table>
Explanation

For Electronics, there are three unique customers: 101, 102, and 103. Their spend amounts are 200 for customer 101 (120 + 80), 150 for customer 102, and 300 for customer 103, giving an average spend of 216.67. Only customer 101 made more than one purchase, so the multi-purchase rate is 33.33%.

For Clothing, there are two unique customers: 102 and 103. Customer 102 spent a total of 50 (40 + 10), while customer 103 spent 50, resulting in an average of 50.00. Customer 102 is the only one with multiple purchases, leading to a multi-purchase rate of 50.00%.

Write a SQL query to compute metrics for each product category.

Black Friday Shopping Spree

Let’s say your team at Spotify wants to determine if a recently launched feature, curated playlists, has increased user engagement. However Spotify launched the feature without an A/B test.

How would you measure the effect of curated playlists on user engagement?

How would you establish causal inference to measure the effect of curated playlists on engagement without A/B?

Causal Inference Without A/B

A/B Testing & Experimentation

As part of the financial management in a large corporation, the CFO wants to review the expenses in all departments for the previous financial year (2022).

Write a SQL query to calculate the total expenditure for each department in 2022. Additionally, for comparison purposes, return the average expense across all departments in 2022.

Note: The output should include the department name, the total expense, and the average expense (rounded to 2 decimal places). The data should be sorted in descending order by total expenditure.

<h3>Example:</h3>

Input:

<code>departments</code> table

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

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

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<code>expenses</code> table

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

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

<tr>
<td>department_id</td>
<td>INTEGER</td>
</tr>

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

<tr>
<td>date</td>
<td>DATE</td>
</tr>
</tbody>
</table>
Output:

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

<tbody>
<tr>
<td>department_name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>total_expense</td>
<td>FLOAT</td>
</tr>

<tr>
<td>average_expense</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Calculate total and average expenses for each department.

Department Expenses

Hcsc Data Analyst Interview Questions

Do you like working with data and analytics to evaluate AI models and their performance? Do you love collaborating with teams to assess and improve generative AI solutions? About our TeamElsevier is singularly focused on helping healthcare professionals improve clinical outcomes through evidence-based care. Our generative AI team works on evaluating and implementing cutting-edge AI technologies to enhance our healthcare solutions while ensuring their safety, reliability, and compliance with healthcare standards. About the RoleWe are seeking a motivated individual to join our dynamic generative AI evaluation team. We focus on assessing and validating AI models that support healthcare decision-making tools. Our team ensures that our AI solutions meet rigorous standards for accuracy, fairness, and clinical relevance. The successful candidate will help evaluate model performance, analyze output quality, and ensure our AI solutions align with healthcare best practices.The successful candidate has relevant experience with AI model evaluation, including performance metrics analysis, output validation, and data visualization. They enjoy collaborating with cross-functional teams including AI researchers, product managers, clinicians, and engineers to evaluate AI models, analyze their outputs, and improve their performance in healthcare contexts. Responsibilities<ul><li>Leading requirements gathering and development of analytics frameworks for evaluating generative AI models in healthcare applications</li><li>Leading and defining the strategic direction for AI evaluation methodologies in their product area</li><li>Managing the analytics roadmap for model evaluation. Collaborating with internal and external stakeholders to manage evaluation timelines and deliverables</li><li>Defining, developing, and deploying queries and metrics to assess AI model performance and output quality</li><li>Leading data model creation and maintenance for AI evaluation frameworks and monitoring systems</li><li>Conducting comprehensive QA of AI outputs and participating in risk analysis and mitigation</li><li>Understanding how security and privacy laws such as HIPAA affect AI deployment in healthcare. Understanding how to handle sensitive data including PHI and PII in AI contexts</li></ul> Requirements<ul><li>Extensive and relevant experience in data analytics including a depth and breadth of SQL Data Engineering </li><li>Demonstrated thought leadership in analytics strategy and enterprise-wide project implementation</li><li>Have current experience in a data analytics role</li><li>Have expertise in using and querying relational database management systems such as Microsoft SQL Server, Snowflake.</li><li>Have expertise in using BI tools such as Tableau or PowerBI</li></ul>

<div><h2>Financial Data Analyst</h2>We are seeking a Financial Data Analyst with a background in financial and data analytics to join the Intelligence Sector Financial Planning & Analysis (FP&A) team. The ideal candidate will have expertise in automating financial reporting processes, making financial data accessible and easy to interpret for individuals with both financial and non-financial backgrounds. The Financial Data Analyst will partner with business and operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and visualization in dashboards. Further, they will support leadership by creating business insights, reports, and analyses to aid in the decision-making process.<h3>Primary Responsibilities</h3><ul><li>Identifies insights from data and metadata sources, interpreting and communicating to management.</li><li>Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information</li><li>Performs large-scale experimentation and builds data-driven models to answer business questions</li><li>Designs and conducts data analyses, including study design, methodology, algorithms, and statistical modeling.</li><li>Automates financial reporting processes to improve efficiency and accuracy in delivering financial insights.</li><li>Develops and maintains financial dashboards and visualizations to present key metrics and trends</li><li>Assists with FP&A functions to include analysis of AOP, forecast, rates, facility cost etc.</li><li>Collaborates with finance teams to ensure data integrity and alignment with organizational goals.</li></ul><h3>Required Qualifications</h3><ul><li>Bachelor's degree and 2+ years of experience in financial data analysis, including conducting financial analysis and building financial models, financial planning, or accounting.</li><li>Experience working on projects related to IT or Data Analytics.</li><li>Proficiency in SQL programming language and Power BI.</li><li>Experience/familiarity with statistical modeling and algorithm development.</li><li>Experience working with data manipulation, analytic/business insight tools, and data visualization experience.</li><li>Proven experience in financial analytics and data analysis.</li><li>Proficiency in automating financial reporting processes.</li><li>Ability to interpret complex data and present findings in a clear, concise manner for diverse audiences.</li><li>Problem-solving skills and attention to detail.</li><li>US citizenship is required and able to obtain security clearance as needed.</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience using Oracle Hyperion, Oracle Analytics Cloud and Deltek Costpoint</li><li>Understanding of financial principles, including budgeting, forecasting, and variance analysis.</li><li>Proficiency in programming languages such as Python.</li><li>Understanding of Income, Balance Sheet and Cash Flow Statements</li></ul>If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 and moving faster than anyone else dares.Pay Range $59,150.00 - $106,925.00Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025.Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission (https://reportfraud.ftc.gov/#/).All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Leidos is an equal opportunity employer/disability/vet.</div>

BI Data Analyst (BI Tableau, SQL, Python)**Prefer candidates who can work on W2** (No for C2C arrangements)Onsite in Sunnyvale, CA / Austin, TX / Elk Grove, CA from Day 1 (Client prefer local folks)Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri)Long term contractDirect client opportunityNo mid layer / No Implementation partners are Involved Job Description:<ul><li>Clients focus more on Business Intelligence skills, less complex analysis.</li><li>Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years</li><li>Excellent communication is essential</li><li>Requires working knowledge of probability theory and statistical analysis.</li></ul> This role will:<ul><li>Use Tableau to create visualizations to be used in interactive dashboards and presentations.</li><li>Use SQL to manipulate and prepare data</li><li>Use Python to manipulate and prepare data; create visualizations; analyze data.</li><li>Require a working knowledge of formal statistical analysis and causal modeling.</li><li>Require excellent communication skills</li></ul> Skill Sets – Experience – Preference<ul><li>Tableau - 5-10 years - Is Required</li><li>SQL - 5-10 years - Is Required</li><li>Python - 5-10 years - Is Required</li><li>Statistical analysis - 5-10 years - Is Required</li><li>Verbal Communication - 5-10 years - Is Required</li><li>Written Communication - 5-10 years - Is Required</li><li>Attention to Detail - 5-10 years - Is Required</li></ul> Pay Range: $65/hr - $70/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com

Per società ICT con sede in zona XXII Marzo a Milano, specializzata nello sviluppo di soluzioni gestionali e HR integrate con tecnologie cloud Azure e intelligenza artificiale, ricerchiamo un Data Analyst / BI Specialist con competenze AI, capace di trasformare i dati in report chiari e insight utili, sfruttando strumenti di Business Intelligence (Power BI, Excel) e AI (Azure OpenAI, Copilot, ChatGPT, ecc.) per analisi avanzata e automazione dei processi di reporting. Nello specifico la figura ricercata si occuperà di :<ul><li>Realizzare report e dashboard interattive con Power BI ed Excel.</li><li>Estrarre, modellare e analizzare i dati aziendali e dei clienti (SQL Server, Azure).</li><li>Utilizzare strumenti AI </li><li> Interfacciarsi con i clienti per comprendere i requisiti di analisi e tradurli in soluzioni BI.</li><li>Collaborare con i team di sviluppo e consulenti HR/legali per fornire strumenti decisionali affidabili.</li></ul>Il profilo ricercato possiede :<ul><li>Ottima conoscenza di Power BI e Excel avanzato (pivot, formule, macro, Power Query).</li><li>Esperienza con SQL per estrazione e trasformazione dati.</li><li>Buone competenze di data visualization e definizione KPI.</li><li>Esperienza nell’utilizzo di strumenti AI per l’analisi (Copilot, ChatGPT, Azure Cognitive Services o equivalenti).</li><li>Capacità comunicative e attitudine al contatto diretto con i clienti.</li></ul> Si offre contratto alle dipendenze o in libera professione. Operiamo nel rispetto delle diversità e con impegno nel favorire equità e pari opportunità, praticando e valorizzando l'inclusione. Il presente annuncio è rivolto senza forma di discriminazione alcuna a tutti i soggetti. L'eventuale declinazione di genere nei termini utilizzati nell'annuncio è da riferirsi comunque a candidati e candidate di ambo i sessi. Le candidature presentate non devono contenere dati relativi allo stato di salute, informazioni relative all'origine etnica, ad opinioni politiche o religiose, all'orientamento sessuale o legate allo stato di famiglia e alle responsabilità familiari. Esse-M Studio Srl rende disponibile la propria privacy policy sul sito : <a>www.smricercaselezione.com</a>

Job Description – Data Analyst (Finance / Private Credit)Experience: 2–4 YearsLocation: [Mumbai About the RoleWe are looking for a highly analytical Data Analyst with strong experience in financial data, private credit, and structured finance. The ideal candidate should have hands-on technical expertise in Python, SQL, and large data handling, along with strong understanding of company evaluation, debt financing, and credit analysis. Key Responsibilities<ul><li>Work on data science and analytics projects, including data cleaning, modelling, and visualization.</li><li>Manage, organize, and analyze large financial datasets from internal and external sources.</li><li>Build and maintain Python-based tools, scripts, and automation workflows for data processing.</li><li>Write optimized SQL queries to extract, process, and analyze data from databases.</li><li>Support company evaluation, including financial analysis, metric benchmarking, and sector research.</li><li>Assist in evaluating debt financing proposals, borrower profiling, and repayment capacity assessments.</li><li>Work on structured finance, asset-backed securities (ABS), or credit analysis of corporate borrowers.</li><li>Prepare dashboards, MIS reports, and insights to support investment and credit decisions.</li><li>Collaborate with investment, credit, and operations teams to improve data frameworks and decision-making tools.</li></ul> Required Skills & Qualifications<ul><li>2–4 years of experience in a finance, fintech, investment, or private credit environment.</li><li>Strong proficiency in Python (Pandas, NumPy, visualization libraries preferred).</li><li>Strong command over SQL and relational databases.</li><li>Experience working with large datasets and data science workflows.</li><li>Exposure to company evaluation, ratio analysis, financial modelling, or credit assessment.</li><li>Understanding of debt financing, loan structuring, credit appraisal, or underwriting.</li><li>Familiarity with structured finance, asset-backed securities, or corporate credit analysis is a strong plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul> Preferred Qualifications<ul><li>Bachelor’s/Master’s in Finance, Engineering, Data Science, Economics, or related field.</li><li>Experience in AIF, Private Credit, NBFC, Fintech Lending, or Investment Research firms.</li></ul>

<h3>Job Description</h3><div>Job Description<div>Description:About UseSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities:<ul><li>Build a working knowledge of program data models, reports, and business requirements </li><li>Contribute to continuous improvement practices of team procedures for state support </li><li>Develop basic understanding and use of relevant project tools including business intelligence, cloud service consoles, databases, and SQL queries as needed </li><li>Translate stakeholder needs into well-defined solutions including reports or dashboards </li><li>Collaborate with team to analyze Medicaid and CHIP data and metrics to determine causes and solutions for data quality issues; document all relevant findings and share learnings with team </li><li>Communicate complex data issues and recommendations to technical and non-technical audience, both verbally and in writing </li><li>Assist more experienced database analysts/programmer in the design, implementation, and maintenance of databases, collection of data elements, and preparation of database specifications. </li><li>Help to develop, maintain, and control the data dictionary </li><li>Coordinate project activities to ensure projects are on schedule </li><li>Provide administrative and logistical support including meeting arrangement, progress tracking, and documentation </li></ul>Requirements:Required Qualifications:<ul><li>All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. </li><li>A Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or other technical or social science. </li><li>In lieu of a degree, four years of general information technology experience and at least two years of specialized experience may be substituted.</li><li>Minimum of 2 years experience </li><li>Experience analysing and visualizing data </li><li>Exceptional ability to take initiative and ownership of issues and projects </li><li>Flexible and willing to accept a change in priorities as necessary </li><li>Resourceful, curious, and analytical approach to problem-solving </li><li>Strong organizational skills, attention to detail, and the ability to prioritize and balance concurrent deadlines </li><li>Excellent command of written and spoken English </li><li>Ability to obtain and maintain a Public Trust; residing in the United States </li></ul>Desired Qualifications:<ul><li>Experience with project management software, status reporting, scheduling, management, implementation, and administration </li><li>Experience with Atlassian Jira/Confluence </li><li>Experience with Agile and particularly SAFe methodology </li><li>Experience working with Centers for Medicare and Medicaid Services (CMS) or healthcare industry </li><li>Experience with data visualization and tools, including creating and maintaining dashboards </li><li>Experience with data management systems and analysis or statistical tools </li><li>Ability to perform root cause analysis to identify opportunities for improvement and answer questions </li><li>Experience identifying, designing, and implementing internal process improvements </li></ul>Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability. </div></div>

Job Title: Data AnalystLocation: McLean, VAPosition Type: Contract Skills Needed: Data Analysis, Python, SQL, Securitization, Mortgage Experience, Agile + Jira, etc Job Description: Senior Data Analyst to support enterprise-wide data profiling, quality assessment, and analytical initiatives. This role requires strong SQL expertise, advanced analytical thinking, and a solid understanding of data environments across ETL pipelines, Data Warehouses, and Data Marts. The ideal candidate will partner closely with both business and technology teams to translate complex requirements into actionable, end-to-end data solutions.Responsibilities and Requirements: · 8+ years of experience in Business and Data Analysis· Proficiency in SQL· Experience working in Agile teams, including creating business and technical user stories in Jira· Mortgage domain experience (required)· Familiarity with command-line operations, including executing Python scripts and navigating log directories to analyze logs· Strong analytical skills with the ability to interpret disparate data sources, distill complex information, and generate actionable insights· Ability to translate non-technical business requirements into technical rules or methodologies· Ability to quickly learn business operations and processes· Strong communication skills, capable of articulating complex concepts to diverse audiences· Flexibility and adaptability to adjust plans based on evolving business needs· Contribute to the buildout of strategic, scalable data platforms in partnership with business and technology stakeholders· Partner with client analytics teams to understand business-specific data sources, elements, and relationships· Translate high-level business requirements into complete, end-to-end analytical solutions· Identify opportunities for advanced analytics and reporting across business-aligned testing teams· Collaborate with clients to expand capabilities in machine learning, natural language processing, and automation· Conduct exploratory data analysis to develop a strong understanding of targeted business areas· Work closely with peers, colleagues, and managers to resolve issues and drive project goals If you believe you are qualified for this position and are currently in the job market or interested in making a change, please email me the resume along with contact details at roshni@nytpcorp.com

Company : Arete HealthtechLocation: Delhi (Work from Office)Internship Type : Full TimeStipend : As per the Company NormsDuration : 3-6 Months (Extendable based on performance) About the RoleWe are seeking a motivated and detail-oriented Data Analyst Intern to join our fast-growing healthcare technology team. This internship is designed for individuals who are eager to develop hands-on experience in data analytics, business intelligence, and dashboard development. You will work closely with senior analysts and cross-functional teams to support data-driven decision-making across the organization. This role is ideal for students or recent graduates who have foundational knowledge in analytics tools and are looking to gain real-world exposure in a high-growth HealthTech environment. Key Responsibilities <ul><li>Assist in creating interactive dashboards and reports using Power BI</li></ul> <ul><li>Support data extraction, cleaning, transformation, and loading (ETL) tasks</li></ul> <ul><li>Work with SQL databases to perform basic querying, data validation, and analysis</li></ul> <ul><li>Help maintain and document data pipelines and workflow processes</li></ul> <ul><li>Collaborate with teams to gather reporting requirements and contribute to data-driven insights</li></ul> <ul><li>Knowledge in Power BI - Developing Power BI reports, dashboards, and KPI scorecards using Power BI</li></ul> <ul><li>Knowledge in making DAX queries on Power BI desktop.- Connecting to data sources, importing data, and transforming data for Business Intelligence</li></ul> <ul><li>Excellent analytical thinking for translating data into informative visuals and reports.</li></ul> <ul><li>Hands-on experience in: Design stable, reliable and effective databases</li></ul> <ul><li>Optimizing DB services</li></ul> <ul><li>Performance tuning, DB service optimization</li></ul> <ul><li>Participate in data quality audits to ensure accuracy and completeness</li></ul> <ul><li>Support automation or analytics tasks using Python</li></ul> <ul><li>Query planning and optimization</li></ul> <ul><li>Learn and contribute to tasks related to cloud data systems, data modeling, and visualization best practices</li></ul> Required Skills & Qualifications <ul><li>Applicants must be pursuing or have successfully completed a B.Tech in Computer Science. (Mandatory)</li></ul> <ul><li>Knowledge of Power BI and interest in dashboard/report development</li></ul> <ul><li>Foundational understanding of Python (Pandas, NumPy preferred)</li></ul> <ul><li>Experience with SSAS (Multidimensional/tabular), SSRS, SSIS</li></ul> <ul><li>Knowledge of GDPR, physical/logical/conceptual data segregation in multi-tenant applications</li></ul> <ul><li>Basic SQL skills and familiarity with relational databases</li></ul> <ul><li>Eagerness to learn BI tools, cloud platforms, and data engineering concepts</li></ul> <ul><li>Strong analytical abilities with attention to detail</li></ul> Preferred (Good to Have) <ul><li>Exposure to any cloud platform (AWS, Azure, GCP)</li></ul> <ul><li>Understanding of basic machine learning concepts</li></ul> <ul><li>Familiarity with automation tools (UI Path) is an advantage</li></ul> <ul><li>Awareness of healthcare operations or healthcare analytics (not mandatory)</li></ul> What you can Expect? <ul><li>A phenomenal work environment with ownership and growth opportunities.</li></ul> <ul><li>Quick iterations and deployments – fail-fast, learn-fast culture.</li></ul> <ul><li>Opportunity to work in one of the most cutting-edge HealthTech organizations.</li></ul> <ul><li>Direct impact of your work on improving patient experiences and healthcare outcomes.</li></ul> <ul><li>Access to world-class mentorship and a collaborative team environment.</li></ul> About Arete Healthtech Pvt Ltd The mission at Arete Healthtech is to provide health tech solutions for Healthcare organizations and patients. We aim to develop solutions for the healthcare industry.As a mission driven team, we will rally to enable patients & providers to experience healthcare with greater satisfaction, less frustration & improved outcomes, which means not just upending operational models, care models and technology, but entirely reddening the emotional journey that each member of the team experiences as we experience this journey together.At Arete, we want to simplify the patient journey by providing transparency at every step, from the diagnosis to the cost of their treatment. We aim at helping the patients make informed, important decisions about their healthcare and their lives and at the same time we assist the healthcare providers for better patient conversion. Interview Process <ol><li>HR Screening</li><li>Technical Test 1</li><li>Technical Test 2</li><li>HR Interview</li></ol>

Responsibilities· Develop an in-depth understanding of user journeys on Airtel Digital Channels and generate data driven insights & recommendations to help product business in meticulous decision making.· End-to-end ownership of key metrics, work with respective product owners to understand areas we need to measure and ensure the needle is moving in the right direction.· Develop strong hypothesis, execute A/B experiments and identify area of opportunities with strong confidence level.· Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations.· Identify and implement streamlined processes for data reporting, dash boarding and communication.· Collaborate with Product for data tracking and implementation of tools like Clickstream, Google analytics, Branch, MO engage etc. Qualifications And Skills Requirements· B.Tech/BE degree in Computer Science/related technical field or Statistics/Operations Research background.· 3+ years of experience in core business analytics/product analytics.· Deep understanding of SQL, Python/R. Extensive hands-on with these tools, experience of working on large datasets is a must.· Excellent with data visualization and strong understanding of Tableau, Superset.· Strong problem solving skills and should be able to engage senior management with data.· Experience with data structures, ETL pipelines & feature modelling. Ability to effectively manage and communicate data mart plans to internal customers. Hands-on with Airflow.· Effective communication skills and experience working across multiple teams will be a plus (data engineering, data analytics, product squad.

<div><h2>Compensation & HR Data Analyst</h2>Founded in 1863, Boston College is a Jesuit, Catholic university located six miles from downtown Boston with an enrollment of 9,654 full-time undergraduates and 5,072 graduate and professional students. Ranked 37 among national universities, Boston College has 923 full-time and 1,336 FTE faculty, 2,822 non-faculty employees, an operating budget of $1.4 billion, and an endowment in excess of $3.9 billion.The Compensation & HR Data Analyst (or Senior Analyst, depending on experience) supports Boston College's Human Resources initiatives through workforce analytics, compensation program administration, and data-driven insights. The role combines HR data analysis, dashboard development, compensation research, salary survey participation, and advisory support for HR liaisons, managers, and recruiters. The Analyst/Senior Analyst gathers and interprets complex HR data, develops reporting capabilities in partnership with HRIT and ITS, and ensures alignment with policies, practices, and legal requirements. The Senior Analyst is the subject matter expert on compensation matters, leads advanced analytics projects, and provides higher-level consultation to HR leadership on compensation strategy and workforce trends.Essential Functions<h3>Compensation Analysis 75% (All Levels)</h3><ul><li>Support the implementation and administration of compensation programs and policies.</li><li>Conduct market analyses, job evaluations, and reclassification assessments; prepare recommendations based on compensation principles and best practices.</li><li>Provide counsel to HR liaisons, recruiters, and managers regarding compensation actions and employment offers.</li><li>Assist in the annual merit review program, including data validation, reporting, trend analysis, and effectiveness evaluation.</li><li>Participate in annual salary surveys (CUPA, EDUCOMP, TSG, ACJU, etc.) and respond to survey requests within confidentiality parameters.</li><li>Design and administer ad hoc internal surveys as needed.</li><li>Analyze Boston College salaries against market survey results and produce reports.</li><li>Support special studies involving job analysis, job evaluation, and compensation structure review.</li><li>Serve as an internal source for HR Liaisons, recruiters, and managers across the University.</li></ul><h3>Senior Compensation Analyst Additional Responsibilities</h3><ul><li>Lead compensation studies with broader scope or higher complexity.</li><li>Serve as the subject matter expert on compensation strategy, job architecture, and pay competitiveness.</li><li>Provide expert consultation on sensitive or complex compensation issues.</li><li>Lead large-scale or cross-departmental compensation projects.</li></ul><h3>HR Data Analytics 25% (All Levels)</h3><ul><li>Collect and analyze qualitative and quantitative HR data to support strategic decision-making.</li><li>Develop, maintain, and enhance HR metrics and dashboards for workforce planning, demographics, turnover, compensation, and benefits utilization.</li><li>Work with HRIT and ITS to develop and expand standard reporting capabilities.</li><li>Ensure reporting accuracy, consistency, and compliance with HR policies, data governance, and regulatory requirements.</li><li>Present findings through written reports, visual dashboards, and oral presentations to HR and University stakeholders.</li><li>Produce annual and longitudinal workforce reports.</li></ul><h3>Senior HR Data Analyst Additional Responsibilities</h3><ul><li>Lead complex data analysis initiatives including forecasting, modeling, and long-term trend analysis.</li><li>Provide strategic insights and recommendations to HR leadership.</li><li>Design improved methodologies for reporting and analytics across HR.</li></ul>Title and salary commensurate with relevant experience based on the following titles and full-time equivalent hiring ranges:<ul><li>Sr. Compensation Analyst: $90,300 - $112,900; 5+ years related professional experience</li><li>Compensation Analyst: $74,200 - $92,750; 3-5 years related professional experience</li><li>Compensation Analyst: $65,550 - $81,950; 1-3 years experience</li></ul>Requirements<h3>Education / Training</h3>Bachelor's degree required. Advanced degree in Higher Education, Business Administration, Data Analytics, or related field preferred. Working knowledge of Peoplesoft, Tableau and Qualtrics<h3>Experience</h3>Associate Compensation & HR Analyst: 1-3 years experience Compensation & HR Data Analyst: 3 years professional experience in salary administration and/or HR analytics.Closing StatementBoston College offers a broad and competitive range of benefits depending on your job classification eligibility:<ul><li>Tuition remission for Employees</li><li>Tuition remission for Spouses and Children who meet eligibility requirements</li><li>Generous Medical, Dental, and Vision Insurance</li><li>Low-Cost Life Insurance</li><li>Eligibility for both University-Funded 401k and Employer-Sponsored 403b Retirement Plans</li><li>Paid Holidays Annually</li><li>Generous Sick and Vacation Pay</li><li>Additional benefits can be found on</li></ul>Boston College conducts pre-employment background checks as part of the hiring process. Boston College is an Equal Opportunity Employer and does not discriminate on the basis of any legally protected category, including disability and protected veteran status. Boston College's Notice of Nondiscrimination can be viewed at .</div>

Question	Topic	Difficulty	Ask Chance
Black Friday Shopping Spree	SQL	Medium	Very High
Causal Inference Without A/B	A/B Testing & Experimentation	Medium	Very High
Department Expenses	SQL	Medium	Very High