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Data Analyst Project Manager Jobs (NOW HIRING)

AirLife

Data Analyst - Commercial

Tucson, AZ · On-site

This role will place emphasis on project management across the data analytics team, as well as delivering individual analytics projects of their own. Key responsibilities will include reconciling ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... Proven experience managing multiple projects simultaneously with attention to detail and deadlines

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Data Analyst Project Manager information

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$34K

$82.6K

$136K

How much do data analyst project manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data analyst project manager in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Who earns more, BA or PM?

In the context of a Data Analyst Project Manager role, project managers typically earn higher salaries than business analysts due to greater responsibilities, leadership requirements, and experience levels. Salaries can vary based on industry, location, and certifications like PMP, but project managers generally have higher compensation than business analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst Project Manager, and why are they important?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is a data analyst project manager?

A data analyst project manager is a professional who combines data analysis skills with project management responsibilities. They oversee data-related projects, coordinate teams, ensure timely delivery, and use tools like Excel, SQL, or project management software to meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

Can a project manager become a data analyst?

A project manager can transition to a data analyst role by developing skills in data analysis tools such as Excel, SQL, and statistical software, along with understanding data visualization and interpretation. Prior experience in managing projects can be valuable, but acquiring technical skills and relevant certifications is often necessary for the switch.

How do Data Analyst Project Managers typically balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

Is 40 too late for data science?

For a Data Analyst Project Manager, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in project management and domain knowledge can also be valuable assets in transitioning to data science roles, which often value diverse backgrounds and continuous learning. Certifications in data science tools like Python, R, or SQL can enhance employability regardless of age.
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Data Analyst Project Manager jobs near you
Infographic showing various Data Analyst Project Manager job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Analyst, Item Data Management - Data Quality

Senior Analyst, Item Data Management - Data Quality

Home Depot

Atlanta, GA • On-site

$81K - $103K/yr

Full-time

Posted 19 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,259 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The purpose of the Senior Data Analyst for Product Data Insights & 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:
  • Manipulating and analyzing large, complex datasets to identify trends, patterns, and opportunities related to category and product performance, customer behavior, and market dynamics.
  • Translating analytical findings into concise, compelling recommendations and presenting them to leadership to inform and validate merchandising strategies.
  • Developing and maintaining dashboards and reports to track key performance indicators, effectively communicating merchandising insights to cross-functional stakeholders.
  • Partnering with cross-functional teams to align analytical projects with overarching business goals and providing data-driven guidance.

Key Responsibilities:
  • Represents the Merchandising function in business process evaluation, procedural development, systems requirements definition and systems functional design.
  • Project/Initiative Management--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
  • 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.
  • 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.
  • Proposing alternatives and solutions to requirements management for each project that most closely aligns with the specific timetables, objectives and business issues at hand.
  • 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.
  • 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.

Direct Manager/Direct Reports:
  • Typically reports to Manager or Senior Manager Merchandise Mgt Systems
  • 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).

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • 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.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Bachelor's degree in Business, Analytics, Data Science, or a related field.
  • 3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.
  • Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R).
  • Strong proficiency with data visualization tools such as Tableau or Power BI.
  • Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.

Minimum Education:
  • 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.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 5

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • 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.
  • Previous experience supervising professionals
  • Experience or in-depth knowledge of retail merchandising and/or logistics; possesses cross functional retail knowledge.
  • Strong communication, analytical, organizational, leadership and teamwork skills; Demonstrated experience in process improvement and/or SDLC and project management methodology
  • PC proficiency, including knowledge of worksheet, word processing, project management and presentation applications

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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