acquisitions analyst

associate data scientist

ai data scientist

ai engineer - forward deployed engineer · databricks · reinvention centers Jobs in Atlanta

analyst programmer, intermediate Jobs in Atlanta

analyst programmer, intermediate

data analyst

Corpay

What We Need
 Corpay is currently looking to hire a Data Analyst within our North America Fuel Division. This position falls under our Vehicle Payments line of business and will be based out of our office in Atlanta, GA office. This role will support the BI team and broader business stakeholders. This role reports into the Director, Data Science/BI and balances ongoing reporting responsibilities with advanced analytical and AI-driven initiatives, requiring both strong technical skills and a proactive, problem-solving mindset.
 
How We Work: 
As a Data Analyst, you will be expected to work out of our office in either Buckhead, GA or Peachtree Corners, GA. Corpay will set you up for success by providing:
 <ul>
<li>Assigned workspace in our Buckhead or Peachtree Corners office</li>
<li>Company-issued equipment</li>
<li>Formal, hands-on training</li>
</ul>
Role Responsibilities
 
The responsibilities of the role will include: 
<ul>
<li>Owning and maintaining recurring reports to support business operations</li>
<li>Ensuring data accuracy, consistency, and timely delivery of reporting outputs</li>
<li>Identifying opportunities to streamline, automate, and enhance existing reporting processes</li>
<li>Partnering with stakeholders to refine metrics, definitions, and reporting needs</li>
<li>Exploring and evaluating new tools and technologies to improve reporting efficiency</li>
<li>Leading or contributing to analytical projects that generate actionable business insights</li>
<li>Developing and deploying AI-driven solutions where applicable</li>
<li>Translating business questions into analytical frameworks and data solutions</li>
<li>Collaborating cross-functionally with data engineering and business teams</li>
<li>Communicating findings clearly to both technical and non-technical audiences.</li>
</ul>
Qualifications And Skills
 <ul>
<li>4-year college degree in a business, data science, computer Science or information technology</li>
<li>3+ years of reporting and system management in high volume and fast paced environments</li>
<li>3+ years of data engineering or reporting expertise.</li>
<li>Experience with Alteryx tool to streamline and automate workflows.</li>
<li>Expert in using SQL and Python programming languages</li>
<li>Expertise with BI Tools (Tableau and/or Power BI preferable) and creating reporting that enable actionable insights for the Reporting team.</li>
<li>Working with ad-hoc analysis on a regular basis to help strategize initiatives/products and evaluate performance of these new initiatives and products.</li>
<li>Deep understanding of ETL processes, data ingestion and automation frameworks</li>
<li>Experience managing projects with multiple stakeholders across multiple departments.</li>
<li>Expert in using Excel / Spreadsheet and PowerPoint / Slides</li>
<li>Ability to collaborate well with business partners and influence business decisions</li>
</ul>
Benefits & Perks
 <ul>
<li>Medical, Dental & Vision benefits available the 1st month after hire</li>
<li>Automatic enrollment into our 401(k) plan (subject to eligibility requirements)</li>
<li>Virtual fitness classes offered company-wide</li>
<li>Robust PTO offerings including major holidays, vacation, sick, personal, & volunteer time</li>
<li>Employee discounts with major providers (i.e. wireless, gym, car rental, etc.)</li>
<li>Philanthropic support with both local and national organizations</li>
<li>Fun culture with company-wide contests and prizes</li>
</ul>
Equal Opportunity/Affirmative Action Employer
 
Corpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all qualified applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department. For more information about our commitment to equal employment opportunity and pay transparency, please click the following links: EEOC and Pay Transparency.

Data Analyst

Workday

<div>
 
 Your work days are brighter here.
 
 
 
 We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
 
 
 
 About The Team
 
 
 
 Are you passionate about building data products that solve problems across an entire company? We are a cross‑functional team of Data Analysts who partner with product, sales, operations, and business leaders to design and deliver data products that drive better decisions at scale. As a Sr. Associate Data Analyst, you will work across domains and functions to understand business needs, shape data product requirements, and turn complex data into reliable, intuitive solutions and insights for stakeholders.
 
 
 You&rsquo;ll collaborate closely with colleagues who deeply understand Workday&rsquo;s data, systems, and business processes, giving you opportunities to develop strong foundations in analytics, data modeling, and product thinking. This role is a great fit if you enjoy learning new domains, working with diverse partners, and seeing your work embedded in reusable data products that power decisions across the company.
 
 
 
 About The Role
 
 
 
 Workday is looking for a
 
 Associate Data Analyst
 
 with a passion for cross‑functional collaboration and building scalable data products. In this role, you will use your analytical thinking, business analysis skills, and technical toolkit (including SQL and modern analytics tools) to analyze complex business problems using data from internal and external sources, and to translate those needs into well‑designed, reusable data assets.
 
 
 You&rsquo;ll partner with stakeholders across multiple organizations to:
 
 
 <ul>
 <li>
 Understand their objectives and pain points,
 </li>
 <li>
 Define shared metrics and data requirements,
 </li>
 <li>
 Co‑design data products (datasets, models, reports, and dashboards) that can be used broadly rather than as one‑off solutions.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner with cross‑functional stakeholders (e.g., product, sales, finance, HR, operations) to identify, define, and clarify business problems and opportunities, and translate these into clear data product requirements.
 </li>
 <li>
 Analyze datasets from Workday and other systems to identify trends, patterns, and drivers that inform the design of scalable data products and shared metrics.
 </li>
 <li>
 Design and iterate on reusable data assets (e.g., curated datasets, semantic layers, standardized dashboards) that can support multiple teams and use cases, rather than one‑off analyses.
 </li>
 <li>
 Write and optimize SQL queries to extract, join, and validate data from relational sources, ensuring performance, reliability, and alignment with our data models.
 </li>
 <li>
 Use data analysis tools and visualization platforms to build intuitive, self‑service reporting and analytics experiences that empower stakeholders to answer their own questions where appropriate.
 </li>
 <li>
 Apply strong Analytical Thinking and Problem Analysis to break down complex, ambiguous questions into structured problems with clear hypotheses, methods, and success criteria.
 </li>
 <li>
 Demonstrate Business Acumen by understanding how different functions operate, how their metrics relate, and how shared data products can create leverage across organizations.
 </li>
 <li>
 Contribute to Data Governance by helping define and document metrics, data definitions, and usage guidelines for data products, and by raising and tracking data quality issues with appropriate owners.
 </li>
 <li>
 Collaborate with analytics engineers, data engineers, and other analysts to align on data models, pipelines, and technical standards that support reliable data products.
 </li>
 <li>
 Participate in and sometimes facilitate cross‑functional design reviews, stakeholder workshops, and feedback sessions to refine data products and ensure they meet real user needs.
 </li>
 <li>
 Support testing and validation of new or updated data products, including sanity checks, reconciliation with source systems, and tracking issues through to resolution.
 </li>
 <li>
 Contribute to documentation, playbooks, and knowledge‑sharing so that data products are well understood and easy to adopt across teams.
 
 
 </li>
 </ul>
 Over time, you will deepen both your product and analytics capabilities, taking on more complex cross‑functional initiatives.
 
 
 
 About You
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 2+ years of professional experience in a data‑focused role (e.g., Data Analyst, Product Analyst, Business Analyst, Reporting Analyst) working closely with stakeholders to solve business problems using data.
 </li>
 <li>
 Hands‑on experience writing and using SQL to query and manipulate data from relational databases or structured datasets.
 </li>
 <li>
 Experience with at least one data visualization / BI tool (e.g., Tableau, Power BI, Looker, or similar) to build reports or dashboards that are used by multiple stakeholders.
 </li>
 <li>
 Experience in Finances is a must.
 
 
 </li>
 </ul>
 
 Other Qualifications
 
 
 
 <ul>
 <li>
 Solid understanding of relational data concepts and basic data modeling, including relationships, joins, aggregations, and how to structure data for analytics and reporting.
 </li>
 <li>
 Strong Analytical Thinking and Problem Analysis skills, with the ability to decompose complex, cross‑functional questions into smaller, answerable components and choose appropriate analytical approaches.
 </li>
 <li>
 Demonstrated experience in Business Analysis: capturing requirements, mapping business processes to data, and converting stakeholder needs into clear data or reporting specifications.
 </li>
 <li>
 Strong verbal and written communication skills, with the ability to explain data concepts, trade‑offs, and findings in a way that resonates with different audiences, from technical partners to business leaders.
 </li>
 <li>
 Experience with Python or R for data analysis, automation, or experimentation is a plus.
 </li>
 <li>
 Familiarity with Workday data, Salesforce.com, reporting, analytics, or similar enterprise application data domains is a plus.
 </li>
 <li>
 Demonstrated ability to collaborate effectively across multiple teams and levels, build trust, and influence through data and clear reasoning.
 </li>
 <li>
 Comfortable working in an iterative or agile environment, incorporating feedback, and adjusting as priorities and learnings evolve.
 </li>
 <li>
 Ability to maintain high standards of data integrity and confidentiality, and to support Data Governance practices in your day‑to‑day work.
 
 
 </li>
 </ul>
 
 Workday Pay Transparency Statement
 
 
 
 The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here.
 
 
 Primary Location: CRI.Heredia
 
 
 Primary Location Base Pay Range: ₡20,170,400 CRC - ₡30,255,600 CRC
 
 
 Additional US Location(s) Base Pay Range: $79,800 USD - $141,700 USD
 
 
 
 Our Approach to Flexible Work
 
 
 
 With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply
 
 spend at least half (50%) of our time each quarter in the office or in the field
 
 with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
 
 
 Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
 
 
 Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
 
 
 At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
 
 
 
 Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
 
 
 
 At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
 
 
 Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
 
 
 In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
 
 
 ,
 
 
</div>

Associate Data Analyst

The Home Depot

<div>Position Purpose:
Digital Content Data Analyst is a role designed for a proactive self-starter eager to lead product data initiatives for the HD Home Digital Content team. In this position, you will own the end-to-end integrity and presentation of product data for your assigned merchandising category on homedepot.com, ensuring all content and promotions are accurate and engaging for the customer. You will be responsible for driving project timelines and collaborating closely with Digital Content Manager to prioritize key deliverables while serving as a primary point of contact for both internal business partners and external suppliers. This role offers a unique opportunity to manage day-to-day data operations and build strategic professional relationships while directly contributing to the success of high-visibility digital initiatives. 
Key Responsibilities:<ul><li>
30% Become the subject matter expert for assigned product category online. Learn and report on best practices, industry standards, and legal requirements associated with assigned projects.</li><li>
10% Responsible for category product data projects and status reporting SKU collection and maintenance, product cross merchandising online, product presentation, etc.</li><li>
15% Measure ongoing effectiveness of programs against metric targets. Develop and execute ongoing enhancement/optimization strategy based on measured performance and customer feedback.</li><li>
10% Responsible for prioritizing projects, tasks to ensure deliverables and goals are met or exceeded.</li><li>
10% Coordinate integrated teams from one or more external agencies or functional organizations supporting managed initiatives.</li><li>
10% Troubleshoot and problem solve for ongoing operational needs as they arise - store sku alignment, online product availability, etc.</li><li>
10% Ability to author clear, concise end user/training materials for processes.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position reports to Manager, Digital Content</li><li>
Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</li></ul> 
Preferred Qualifications:<ul><li>
Analytical Foundations: Demonstrated experience in E-commerce and data management, with a keen ability to analyze processes and implement meaningful improvements.</li><li>
Operational Excellence: Proven ability to prioritize and manage multiple high-visibility tasks simultaneously while maintaining strict adherence to project timelines.</li><li>
Strategic Problem Solving: Strong decision-making skills and a proactive approach to identifying and resolving complex data or workflow issues.</li><li>
Cross-Functional Leadership: Ability to lead initiatives and collaborate effectively across diverse teams to drive collective project success.</li><li>
Organizational Mastery: Exceptional organizational and analytical skills, balanced with a customer-service mindset to support internal and external partners.</li><li>
Communication &amp; Interpersonal Skills: Outstanding written and verbal communication skills, with the ability to build effective, professional relationships at all levels.</li><li>
Collaborative Self-Starter: A positive, professional &quot;can-do&quot; attitude; comfortable working independently and taking initiative while remaining deeply committed to team goals.</li><li>
Technical Proficiency: Expert-level familiarity with the Microsoft Office Suite, specifically Excel, to manage and interpret product data.</li><li>
Modern Tech Fluency: Exposure to and comfort with Generative AI tools to enhance productivity and stay ahead of digital trends.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Digital Content Data Analyst

<div>Position Purpose:
The Sr Data Analyst, Pro Experience will serve as a key role supporting the Home Depot Pro strategic growth initiatives. As part of the Pro Experience team, the Sr Data Analyst will be responsible for owning individual analytical projects and team initiatives that involve analyzing data, designing pilot campaigns, building Tableau dashboards, and communicating findings effectively to partner teams.
This role is designed for individuals with advanced analytical skills who can leverage large data sets to drive actionable insights. The ideal candidate possesses a strong understanding of data visualization tools and statistical analysis techniques, demonstrating the ability to work independently as well as collaboratively within cross-functional teams
Key Responsibilities:<ul><li>
Establish reporting standards and best practices.</li><li>
Architect and implement a reporting framework.</li><li>
Oversee data mining efforts.</li><li>
Develop programs, methodologies, and files for analyzing and presenting data.</li><li>
Collaborate with stakeholders, developers, UX designers and end-users to determine requirements.</li><li>
Data analysis, development of SQL scripts, stored procedures &amp; triggers, and report generation.</li><li>
Develop programs, methodologies, and files for analyzing and presenting data</li><li>
Data Cleansing/validation</li><li>
Prepare data load scripts for mass data load from various data sources</li><li>
Use of varied database applications/analytical tools</li><li>
Enhancements/modifications to systems and procedures</li><li>
Use of varied database applications/analytical tools</li><li>
Enhancements/modifications to systems and procedures</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position Reports to Sr. Engineer or Sr. Manager</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
An intermediary understanding of SQL joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language such as Python</li><li>
Experience building reports/analyses with analytical tools (e.g. Excel, Tableau, etc.)</li><li>
Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)</li><li>
B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.</li><li>
Work experience with Google BigQuery.</li></ul>
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
7</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Commitment to organized, high-quality deliverables.</li><li>
Ability to mentor colleagues on standards, best practices, and new technology concepts.</li><li>
Understanding of usability best practices and user design.</li><li>
Creative approach to problem solving, innovation, and issue resolution.</li><li>
Excellent verbal and written communication skills.</li><li>
Self-motivated and self-managed with a high degree of analytical ability and intellectual curiosity.</li></ul></div>

Sr. Data Analyst - Pro Experience

<div>Position Purpose:
A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists. 
Key Responsibilities:<ul><li>
30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests</li><li>
20% Executes existing reporting and analytical responsibilities</li><li>
20% Ensures the quality of work output by displaying a keen attention to detail</li><li>
20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture</li><li>
10% Develops additional technical competencies and subject matter expertise within core functional group</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to Manager or Sr Manager</li><li>
This position has no Direct Reports</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 

Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)</li><li>
Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)</li><li>
Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)</li><li>
B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.</li><li>
Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
2</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.</li><li>
An unquenchable intellectual curiosity for getting at the underlying story being told within the data.</li><li>
Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.</li><li>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Ability to quickly learn and adapt to new technologies, tools, and techniques.</li></ul></div>

Sr. Data Analyst, Data Quality

Senior Data Analyst, Solutions Strategy

<div>Position Purpose:
The purpose of the Senior Data Analyst for Product Data Insights &amp; Tooling is to turn our vast item catalog into a high-performance engine for decision-making. The Senior Data Analyst is responsible for leveraging complex, large-scale data to derive actionable insights that directly influence and support executive-level merchandising strategy. This role requires a blend of advanced technical data manipulation skills and a deep understanding of retail merchandising principles to translate raw data into clear, impactful business recommendations. In this position, the Senior Data Analyst will build and support automation, leverage AI tooling, and collaborate cross-functionally in alignment with the executive strategy. The position requires knowledge of merchandising, an analytical skillset, and an entrepreneurial mindset.
Key responsibilities include:<ul><li>
Manipulating and analyzing large, complex datasets to identify trends, patterns, and opportunities related to category and product performance, customer behavior, and market dynamics.</li><li>
Translating analytical findings into concise, compelling recommendations and presenting them to leadership to inform and validate merchandising strategies.</li><li>
Developing and maintaining dashboards and reports to track key performance indicators, effectively communicating merchandising insights to cross-functional stakeholders.</li><li>
Partnering with cross-functional teams to align analytical projects with overarching business goals and providing data-driven guidance.</li></ul> 
Key Responsibilities:<ul><li>
Represents the Merchandising function in business process evaluation, procedural development, systems requirements definition and systems functional design.</li>
Project/Initiative Management<li>-Partners with senior and department management and cross-functional teams in determining and defining business need/requirements; project plans, risk assessments, communication, implementation, training and change management</li><li>
Manages the business and project team expectations including addressing project issues, changes; May directly supervise staff members in the development, implementation and support of applications and business processes to meet the client's business requirements.</li><li>
Driving the requirements gathering efforts for a project (either development or implementation), including managing the expectations of the project manager, the stakeholders, the project team and executive management.</li><li>
Proposing alternatives and solutions to requirements management for each project that most closely aligns with the specific timetables, objectives and business issues at hand.</li><li>
Consulting with cross-functional managers, project managers, management and customers to ensure that all projects undertaken adequately address requirement related issues. Understanding the business case behind all projects, including the motivating factors for all stakeholders. Working with the Business Manager to analyze all potential opportunities to enhance, improve and refine the requirements gathering processes.</li><li>
Establishes and reports on metrics of assigned projects to gauge business value (ROI).; Audits and evaluates implemented projects (systems/processes, for example) to support continuous improvement opportunities.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to Manager or Senior Manager Merchandise Mgt Systems</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in Business, Analytics, Data Science, or a related field.</li><li>
3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.</li><li>
Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R).</li><li>
Strong proficiency with data visualization tools such as Tableau or Power BI.</li><li>
Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Proficient in business process evaluation and procedure development; Demonstrates a thorough knowledge of all tools, processes, methodologies and standards for requirements gathering, documentation and analysis.</li><li>
Previous experience supervising professionals</li><li>
Experience or in-depth knowledge of retail merchandising and/or logistics; possesses cross functional retail knowledge.</li><li>
Strong communication, analytical, organizational, leadership and teamwork skills; Demonstrated experience in process improvement and/or SDLC and project management methodology</li><li>
PC proficiency, including knowledge of worksheet, word processing, project management and presentation applications</li></ul></div>

Senior Analyst, Item Data Management – Data Quality

Explore 206+ Data analyst in Atlanta this May. Find roles across top companies and apply now to boost your career.