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

Aptude Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Aptude? The Aptude Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Aptude Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Aptude.</li>
<li>Practice real Aptude 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 Aptude Data Analyst interview.


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

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

Overview

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.

Aptude Data Analyst Interview Process

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

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

Let’s say that you’re a data scientist at Robinhood. 

How do we measure the launch of Robinhood’s fractional shares program?

Let’s say you are a data scientist at Robinhood.

Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.

Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood’s platform for new users?

Let's say you are a data scientist at Robinhood. 



Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.



Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood's platform for new users?

Fractional Shares Metrics

Fractional Shares

Aptude Data Analyst Interview Questions

Job Title: Business Systems AnalystPay rate: $60 - $68 per hourDuration: 12 months plus (Possibility of temp to hire)W2 contract only (No C2C)Location- Irvine, CA, 92618 We are looking for a Senior Business Analyst with a strong background in master data management within ERP systems (specifically NetSuite) and expertise in SQL, which is essential for extracting data and building KPI dashboards. This role will own and manage the department’s KPI dashboard, supporting functions across demand planning, supply planning, and inventory management. The ideal candidate will help us maintain an operational focus by providing easily accessible KPIs for daily performance monitoring and decision-making. Top Skills Required:<ul><li>ERP System Expertise (NetSuite)</li><li>Strong SQL Skills – to extract, manipulate, and manage data</li><li>Advanced Excel Skills</li><li>Data Analytics & Dashboard Development</li><li>Ability to interpret and tell the story behind the data</li><li>Build dashboards that reflect critical supply chain KPIs</li><li>Power BI (required); Tableau (a plus but not required)</li><li>Supply Chain Knowledge – must understand key metrics and operational data in planning and inventory</li><li>Experience Required:Minimum 4 years of relevant experience</li><li>Proven ability to work cross-functionally and support strategic decision-making through data-driven insights</li></ul> Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com.

The Senior Data Analyst leads enterprise-level data initiatives by combining technical expertise
with   strategic insight. This role is responsible for driving data governance, advanced analytics,
integration projects, and dashboard development to support the organization's mission - including
initiatives in affordable housing and enterprise-wide operations. The ideal candidate is a seasoned
data professional with strong leadership skills, hands-on technical ability, and a passion for
delivering data-driven insights.

RESPONSIBILITIES

• Lead and manage cross-functional data governance, migration, integration, and analytics projects
aligned with strategic organizational goals.
• Design and implement robust dashboards and visualizations using Power BI, ensuring clarity,
performance, and data accuracy.
• Write, optimize, and maintain complex SQL queries for data extraction, transformation, and
reporting across multiple platforms.
• Develop and enforce data governance standards, policies, and best practices across
departments.
• Integrate with external APIs and enterprise systems to support real-time data ingestion and
analysis.
• Mentor junior analysts, fostering a culture of growth, collaboration, and analytical
excellence.
• Translate complex data into actionable insights for both technical and non-technical
stakeholders.
• Manage project timelines, stakeholder expectations, and reporting deliverables across business
units.

SKILLS & QUALIFICATIONS
• Proficiency in Power BI, including data modeling (DAX, M language), report design, and
performance tuning.
• Experience with dashboarding and data storytelling to communicate trends and opportunities
effectively.
• SQL development skills with the ability to query and manipulate large datasets.
• Familiarity with RESTful APIs and integrating external data sources into enterprise
systems.
• Strong analytical, critical thinking, and problem-solving capabilities.
• Demonstrated leadership in managing analytics initiatives and cross-functional
collaboration.
• Knowledge of data warehousing, data modeling, and ETL/ELT processes.
• Effective communicator with the ability to explain technical concepts clearly to non-technical
audiences.

EXPERIENCE & EDUCATION
• Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, or related
field.
• 5+ years of experience in data analysis, business intelligence, or data engineering.
• Advanced Excel skills preferred.
• Experience working with ERP systems for data integration and enterprise reporting.
• Project Management experience a plus.

PHYSICAL REQUIREMENTS/WORK ENVIRONMENT
• Operate computer and office equipment.
• Work is primarily sedentary in nature.
FLSA:
Exempt

PAY
$100,000 to $115,000/year

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Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities, and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Responsibilities:
This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.
Responsibilities:
Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set.
Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the Enterprise Data Strategy Governance and Operations (EDSGO) relationship.
Manages data-related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform.
Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with the data platform.
Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data-related incidents.
Skills:
Data Collection and Entry
Data Management
Data Modeling
Issue Management
Policies, Procedures, and Guidelines Management
Analytical Thinking
Collaboration
Data Governance
Data Quality Management
Data and Trend Analysis
Business Acumen
Controls Management
Production Support
Regulatory Compliance
Solution Design
Required Qualifications:
Minimum 3 years of Business, Reporting, Project, and/or Trading Analyst/Management experience – including, but not limited to, knowledge of work breakdown structure and identification of dependencies, optimization of task sequencing, coordination of multiple business & technology teams and activities, ability to execute efficiently, ability to influence & manage, effective meeting facilitation, etc.
Ability to quickly develop additional subject matter expertise across a broad spectrum of issues and data domains.
Must be able to manage concurrent projects in a fast-paced environment, adapt to changing requirements, manage multiple tasks, and work well under pressure.
Excellent written communication skills with the ability to target messaging to diverse audiences.
Strong verbal communication skills for setting expectations and influencing & managing resources to deliver.
Highly organized with the ability to effectively multi-task and manage deliverables.
Strong ability to establish relationships with peers across teams and influence/lead diverse groups to achieve desired results.
Results oriented with demonstrated ability to drive action and sustain momentum.
Intermediate skills with Excel, PowerPoint, Visio.
Desired Qualifications:
Bachelor’s degree in Finance, Economics, Accounting, or equivalent degree.
Experience in leading large, initiative-level programs with both business and technology delivery components, related to financial data management, market execution optimization, and regulatory reporting.
Advanced SQL, Tableau, Alteryx, and/or other equivalent technology/programming skills.
Intermediate SQL skills.
Wide-ranging knowledge of financial markets, products, and regulations.
Shift:
1st shift (United States of America)
Hours Per Week:
40

#J-18808-Ljbffr

GENERAL SUMMARY

We’re seeking an entry level HRIS Data Analyst. Strong candidates will bring excellent data and analysis skills, critical thinking, business acumen, and subject matter expertise (data management, analytical problem solving, coding, etc.) to this role. An exceptional candidate will be able to think creatively to shape data into highly automated, meaningful, and relevant reporting that is routinely distributed to leaders across different areas of CHKD’s business to help drive informed decision making. Examples of initial success measures include:

Manage and maximize the technical components of our current HRIS system;

Improve efficiency of HR data operations; and

Automate processes and reporting to deliver real-time data to CHKD Management;

ESSENTIAL DUTIES AND RESPONSIBILITIES

Data Entry & Integrity

Maintains all data pertaining to employee records (new hires, transfers, promotions, demotions, personal information, etc…)

Supports the integrity of employee records, assuring legal and regulatory compliance.

Maintains data maps, integrations, workflows, and cross walks between Symplr and other CHKD information systems.

Maintains department process maps and guidelines.

Analyzes and ensures data integrity using effective audit tools and practices.

Exercises discretion with highly confidential information.

Reporting & Analysis

Develops and maintains standard reporting and routine data processing/production tasks.

Creatively drives solutions for automation and data integrity, where possible.

Produces ad hoc reports and analysis to support business and clinical operations across CHKD.

Works with People Operations leadership and other CHKD departments to understand and effectively use data and key metrics to improve workforce productivity and operational efficiency.

Uses data to support activities, programs, goals, and systems of non-HR departments across the organization (e.g., budgeting, quality/safety initiatives, clinical/workforce productivity, alternative staffing models).

Promotes greater utilization and understanding of current and future HR Technology and Analytics capabilities across all teams at CHKD.

Customer Service & Communications

Communicates with all levels of the organization to understand and meet their current and future workforce data needs; translate technical topics and data into meaningful and actionable information.

Identifies and troubleshoot issues and escalate as appropriate.

Provides end user support as needed.

Participates on ad-hoc projects as needed.

Performs all other duties as assigned.

LICENSES AND/OR CERTIFICATIONS

Required Licenses and/or Certifications

None required.

Preferred Licenses and/or Certifications

Relevant data visualization or coding certifications preferred.

Relevant data analytics or data science certifications preferred.

MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS

Required Education and Experience

Associates degree in a relevant field; or the equivalent combination of education, experience and/or training required.

1-3 years of Human Resource experience maintaining HRIS/HCM records and reporting support required.

Preferred Education and Experience

Experience working in a healthcare provider setting preferred

Relevant data visualization or coding certifications preferred

Demonstrated ability to transform data into meaningful, actionable metrics preferred.

Required Knowledge, Skills and Abilities

Broad knowledge of advanced data analysis techniques.

Data analytics & visualization (Power BI preferred)

Reporting automation

Resourceful

Critical thinking

Time management & prioritization

Self-starting & independent

Stakeholder management

Preferred/Other Knowledge, Skills and Abilities

Business Acumen & Subject Matter Expertise

HR Policies and Procedures

Regulatory compliance for data retention and protection

HRIS – particularly Premier Symplr suite of products

Cloud-based ERP systems and implementation strongly preferred

Leadership Knowledge, Skills, & Behaviors

Attention to Detail

Organization

Positive Attitude

Collaborative Teamwork

Multitasking

Conflict Management

Understanding of Leadership Data Needs

Customer Support

Innovation / Creative Thinking

Technical Skills:

Premier Symplr Suite

Coding / Data Processing (Python, SAS, SQL, etc.)

Cloud-based ERPs

Microsoft Office Suite

Online Meeting Tools

Project Management Tools

WORKING CONDITIONS

Work is performed in an office environment with little exposure to excessive noise, dust, temperature, etc.

PHYSICAL REQUIREMENTS

Click here to view physical requirements. (https://www.chkd.org/uploadedFiles/Documents/Employees/Category%20A%20Jobs.pdf%20)

Summary:The Production Data Analyst Assistant plays a vital role in supporting the production team by gathering, analyzing, and ensuring data accuracy, as well as reporting key performance metrics. Provides strategic planning and supports organizational goals in safety, quality, cost, and customer service. This position requires strong analytical abilities, excellent communication skills, and a meticulous approach to data management and compliance monitoring. Essential Duties & Job Responsibilities: <ul><li>Organize and present daily production performance data to the leadership team by providing insight on company KPls ( Production yields, Plan Attainment, Processing Rate, Labor Cost, etc.)</li><li>Identify opportunities for performance improvement to ensure that KPI targets are being met</li><li>Provide regular reports to upper management on key production metrics, highlighting trends, identifying areas for improvement, and providing actionable insights.</li><li>Proactively gather production data from team members, including insight on Processing Bottle Necks, Production Processing Rates, and Raw quality Information. Process this data using advanced Excel functions (Nested IF Statements, SUMIFS with Dynamic Criteria, etc.) to generate insightful reports and metrics.</li><li>Navigate through the ERP System and ensure Quantities Schedueld / Consumed & Outputted correlate with the Production Report. Update as needed</li><li>Work closely with the Administration team on Data Integrity and troubleshoot systematic issues.</li></ul> Minimum Qualification Requirements: Education & Experience<ul><li>High School Diploma or GED equivalent required.</li><li>Bachelor's degree in Data Management, Business Administration, Operations Management, or a relevant field preferred</li><li>2-3 years of related work experience is strongly preferred</li><li>Previous experience working in a manufacturing environment is strongly preferred</li><li>Tech-Savvy, Proficient with Data Analytics; High Proficiency with all Microsoft Office Suite (Especially with Excel); Proficiency with Microsoft Dynamics NAV & Business Central</li><li>Excellent verbal, written, and interpersonal communications skills, problem-solving, and organizational skills</li><li>Working knowledge of plant equipment and safety</li><li>Demonstrate full knowledge of Good Manufacturing Practices policies and procedures</li></ul>

LS Direct is looking for a passionate Data Analyst to join our growing data department. The successful candidate will turn data into information, information into insight, and insight into business decisions. As a Data Analyst, you join our data team in supporting the day-to-day execution and analytics of direct marketing campaigns and metrics. You will ensure timely and accurate support of our company’s strategic goals while supporting our external customer base.<ul><li>Company location: Suffern, NY.</li><li>Expected hours of work: Generally, work is performed Monday through Friday, though holidays and weekends may be required. This is a hybrid full-time position after successful training; 3 days in office, and 2 days at home.</li></ul> About LS DirectLS Direct is a data-driven marketing program. LS provides powerful analysis essential in today’s market. Our rich data allows us to understand the ins and outs of our client’s customer base so we can best engage and win with them, while at the same time reaching new ones. While our advanced technology and analytics stack up against some of the biggest tech conglomerates out there, we are a boutique business that believes long-term relationships are key to success. We have the brightest team of data scientists and analysts and provide hands-on, data-driven support to our clients. Core Responsibilities<ul><li>Translate and distill insights from primary and secondary data sources for clients to help them understand their business needs and strategies for growth.</li><li>Manage multiple projects across clients and industries.</li><li>Develop visualizations that highlight trends and adhere to best practices.</li><li>Contribute to the overall documentation of processes and protocols amongst the data team.</li><li>Re-examine and fine-tune preexisting workflows to optimize for time and quality.</li><li>Work with large data files from external partners and LS Direct’s internal data architecture.</li><li>Continue to refine modeling of customer scoring and predictive analytics.</li><li>Collaborate with other teams and departments across multiple projects and functions.</li><li>Create modeled lists from distinct business needs/rules of external partners and LS Direct’s proprietary algorithm.</li></ul> We’re Looking for Someone With<ul><li>Experience with any combination of the following: Excel, SQL, Python, R, and/or Alteryx.</li><li>Bachelor's degree or 2+ years relevant work experience.</li><li>Ability to understand and interpret transactional and secondary data sources.</li><li>Ability to multi-task in a fast-paced, deadline-driven environment with a focus on communication and project management.</li><li>Exceptional organizational skills and detail-oriented team member.</li><li>A growth mindset, committed to continuous improvement and taking on challenges.</li><li>Experience in marketing or data analysis.</li></ul>

Data Analyst - Regulatory ReportingLocation: Phoenix, AZ - Hybrid (2 days/week on-site)Duration: 24-Month ContractPay Rate: $50/hr W2Benefits: Medical, Dental, Vision, 401K, LTD InsuranceThis is a W2-only opportunity. We are not able to consider Corp-to-Corp (C2C), 1099, or third-party arrangements. Ready to make your mark in financial data analytics? Join our client's dynamic data and regulatory reporting team, where your analytical expertise will drive critical business decisions in the banking sector. The OpportunityWe're looking for a sharp-minded Data Analyst Consultant who thrives on uncovering patterns, solving complex data puzzles, and ensuring regulatory excellence. If you're passionate about turning messy datasets into meaningful stories and have a knack for bridging technical complexity with business value, this role is your next career catalyst. Your Mission<ul><li>Data Quality Analysis: Profile datasets, map source-to-target relationships, and identify data quality issues across System of Record environments</li><li>SQL Expertise: Build sophisticated SQL and HiveQL queries that extract valuable insights from complex data structures</li><li>Technology Utilization: Leverage Oracle SQL, DBeaver, Hive, Python, GCP, and BigQuery to automate processes and unlock advanced analytics</li><li>Regulatory Navigation: Decode US banking regulations (Y-9C, Y-14, Y-15, 2052a) and ensure our data tells compliant stories</li><li>Cross-Team Collaboration: Partner with diverse stakeholders to architect solutions and standardize data practices</li><li>Project Leadership: Drive technical initiatives from conception to delivery within Agile frameworks</li><li>Insight Communication: Transform complex findings into compelling visualizations and reports that resonate with both technical teams and business leaders</li><li>Innovation Champion: Explore AI applications and machine learning techniques to push the boundaries of traditional data analysis</li></ul> What You Bring to the TableCore Expertise:<ul><li>Battle-tested experience in data analytics, profiling, and quality assessment methodologies</li><li>Mastery of SQL/NoSQL with proven ability to construct and decode intricate queries</li><li>Hands-on proficiency with Oracle SQL, Hive, DBeaver, and big data ecosystems (Hadoop, Cornerstone)</li><li>Fluency in Python, Google Cloud Platform, BigQuery, and machine learning frameworks</li><li>Working knowledge of US regulatory landscape and banking product structures</li><li>Deep understanding of relational database architecture and design principles</li></ul> Technical Toolkit:<ul><li>Advanced Excel and Power Query capabilities for data manipulation and analysis</li><li>Experience orchestrating technical projects across multidisciplinary teams</li><li>Demonstrated success operating within Agile delivery methodologies</li><li>Strong foundation in data visualization and storytelling techniques</li></ul> Professional Qualities:<ul><li>Analytical mindset with exceptional problem-solving abilities</li><li>Clear communicator who can translate technical concepts for diverse audiences</li><li>Collaborative team player who thrives in fast-paced environments</li><li>Detail-oriented professional with commitment to accuracy and compliance</li></ul> Bonus Points For:<ul><li>Background in product management, data migration, or governance initiatives</li><li>Experience implementing AI technologies in analytical workflows</li><li>Knowledge of data lineage, metadata management, and cataloging platforms</li><li>Track record of driving data standardization and quality improvements</li></ul> At RGP, we're creating a future where businesses produce their best work without constraints. We've built a global network of over 2,600 experts across four regions, providing a comprehensive suite of solutions across on-demand talent, next-generation consulting, and outsourced services to support organizations at every stage of their growth journey. Trusted by Fortune 100 companies and emerging disruptors alike, we challenge conventional ways of working, drive growth, and pave the way for long-term success through bold innovation and fearless collaboration. Our values guide everything we do and strengthen our commitment to people. By combining smart processes, human-centered design, and advanced technology, we celebrate our team's excellence and ensure we grow together. We believe in the power of continuous learning and development to drive both individual and organizational success. It’s time to rethink how work gets done. Dare to Work Differently® with RGP. RGP is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, or any other legally protected trait and encourage all applicants to apply.

OverviewWe are seeking a skilled Data Analyst with a strong background in Property & Casualty (P&C) insurance or reinsurance. The ideal candidate will possess robust data analysis skills and be capable of translating complex requirements into actionable data-driven solutions. Key Responsibilities<ul><li>Data Analysis: Conduct thorough data analysis to identify trends, anomalies, and opportunities for improvement in insurance data.</li><li>Requirements Gathering: Collaborate with stakeholders to gather and document requirements, creating Business Requirements Documents (BRDs) that effectively communicate project needs and expectations.</li><li>Data Quality Assurance: Develop detailed documentation to highlight data quality issues, coordinating the cleansing process to ensure data integrity. This includes crafting requirements specifically aimed at resolving data quality challenges.</li><li>SQL and ETL: Write complex SQL queries to extract, manipulate, and analyze data. Engage in ETL (Extract, Transform, Load) processes to ensure data is prepared for analysis and reporting.</li><li>Deliverables: Translate requirements into data-driven deliverables and solutions that align with organizational goals, ensuring timely and accurate reporting.</li></ul> Required Qualifications<ul><li>Experience in Property & Casualty insurance or reinsurance.</li><li>Strong data analysis skills with a proven track record of using data to drive decision-making.</li><li>Proficiency in SQL for querying and managing data.</li><li>Experience in gathering requirements and creating Business Requirements Documents (BRDs).</li><li>Ability to create comprehensive documentation to address and resolve data quality issues.</li></ul><li></li>Preferred Qualifications<ul><li>Familiarity with data visualization tools such as Power BI or Tableau.</li><li>Basic knowledge of Python for data manipulation and analysis.</li></ul> Day-to-Day Activities<ul><li>Work closely with cross-functional teams to understand their data needs and provide analytical support.</li><li>Develop and maintain SQL queries to support ongoing data analysis and reporting tasks.</li><li>Participate in the ETL processes, ensuring data is accurately transformed and loaded into appropriate systems.</li><li>Regularly communicate findings and insights to stakeholders, helping them make informed decisions based on data.</li></ul>

Position Summary:This role reports to the Senior Finance Manager to support the day-to-day operations of order, item, and bill-of-material management. The Junior Data Analyst plays a key role in shaping Master Data processes and making recommendations for streamlining activities in the area. This role engages in initiatives to provide the business with improved operational and financial reporting capabilities. This position is responsible for collecting and analyzing data to ensure our item specifications and bills of materials are created and maintained thoroughly, consistently, and accurately. Essential Functions:<ul><li>Responsible for creating and maintaining inventory items and BOMs to ensure MRP is driving demand accurately and in a timely manner. </li><li>Prepare an “as-is” process mapping for the Master Data function, highlighting areas for improvement and making recommendations to streamline activities.</li><li>Implement changes across Master Data and Order Entry to allow more detailed and insightful operational and financial reporting.</li><li>Develop and maintain SOPs and training documentation for all existing Master Data processes.</li><li>Work with IT and supporting groups to drive system changes and implementations.</li><li>Frequent engagement with Project Managers, Engineers, Procurement, and Quality to confirm order details, learn new item specifications, and understand compatibility between the various types of items used for clients’ orders. </li><li>Observe current item data code logic, improve standardization among item specifications, and establish new governance when necessary. </li><li>Analyze data related to inventory, demand, purchasing, production, and customer order trends to build knowledge base that will support item data accuracy, deliver insights, identify root causes, and improve processes. </li><li>Develop tools and reports in Excel to help automate processes and boost data transparency.</li><li>Gain deep understanding of company ERP system and how departmental transactions impact the flow of product data between processes.</li><li>Cross-functional collaboration with Project Managers, Product Development, Planners, Procurement and Finance</li></ul> QUALIFICATIONS:<ul><li>Bachelor's degree - preferably a degree in Supply Chain or Management Information Systems.</li><li>Preferably 2 or more years of experience.</li><li>Bill of Material experience or knowledge of product configurations a plus.</li><li>Intermediate or higher skill level with Microsoft Office. </li><li>Highly proficient using Excel to analyze data (pivot tables, Excel functions, data modeling, etc.)</li><li>Some understanding of BI tools.</li><li>Knowledge of supply chain processes, concepts, and terms. </li><li>Experience working with ERP systems desired.</li><li>Ability to work independently as well as with a team. </li><li>Ability to multi-task and prioritize assignments under tight deadlines.</li><li>Ability to adapt to changing priorities.</li><li>Strong interpersonal and communication skills (written and verbal)</li><li>Strong analytical, problem-solving skills</li><li>Results-oriented, detail-orientated, curious, confident, self-motivated, and driven to succeed.</li><li>Open to new responsibilities if the need arises.</li></ul> Arcade Beauty is an equal opportunity employer.

Aptude Data Analyst Interview Guide

Overview

Aptude Data Analyst Interview Process

Aptude Data Analyst Interview Questions

Aptude Data Analyst Jobs