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Data Analyst Project Manager Jobs (NOW HIRING)

Data Analyst

Los Osos, CA · On-site

$33.67 - $43.77/hr

Rantec is hiring a Data Analyst! (***No relocation support provided) (To comply with ITAR ... Project management skills that demonstrate the ability to create, manage and execute upon a plan ...

Healthcare Data Project Manager

Austin, TX · Hybrid

$51.25 - $69.25/hr

Data & Analytics * Cloud Environments * Enterprise Data Platforms * Experience managing: * Data ... Analytics Projects * Healthcare data experience with familiarity in: * FHIR * CCDA * HL7 * Working ...

Data Analyst

Los Osos, CA · On-site

$33.67 - $43.77/hr

Rantec is hiring a Data Analyst! (***No relocation support provided) (To comply with ITAR ... Project management skills that demonstrate the ability to create, manage and execute upon a plan ...

This role offers an exciting opportunity to work on complex data analysis projects in the banking and financial services domain. Key Responsibilities: * Design and develop data analysis models using ...

Create detailed functional documentation those systems. • Relate current systems to industry standards to help build a new system. • Manage the execution of data analytics projects to drive value ...

Manages the compilation, cataloging, caching, distribution, retrieval, and archiving of data. * Participates in ad-hoc data analysis projects and produces actionable requests, proposals, or events ...

Experience managing analytics vendors, agencies, or cross-functional analytics projects ... Experience documenting data models, reporting standards, and analytics workflows.

Gather and document analytics project requirements from business stakeholders * Explore and understand the inner workings and market context of an aircraft OEM * Coordinate data management and ...

New

Gather and document analytics project requirements from business stakeholders * Explore and understand the inner workings and market context of an aircraft OEM * Coordinate data management and ...

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 ...

IT Project Manager

Mclean, VA · Hybrid

$101K - $119K/yr

Analyze, interpret, and visualize data to support business decisions within capital markets processes. * Coordinate and manage multiple projects simultaneously, ensuring timely delivery of milestones ...

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 ...

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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.
More about Data Analyst Project Manager jobs
What cities are hiring for Data Analyst Project Manager jobs? Cities with the most Data Analyst Project Manager job openings:
What are the most commonly searched types of Data Analyst Project jobs? The most popular types of Data Analyst Project jobs are:
What states have the most Data Analyst Project Manager jobs? States with the most job openings for Data Analyst Project Manager jobs include:
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.

BUSINESS ANALYST /PROJECT MANAGER

Kanak Elite Services Inc

New York, NY • On-site

Contractor

Posted 22 days ago


Job description

Hello There,

Wish you a Happy Friday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

ROLE : BUSINESS ANALYST /PROJECT MANAGER
LOCATION : HYBRID ROLE 3 DAYS ON SITE , NY (LOCAL)

BANKING DOMAIN MUST

INTERVIEW : VIDEO + IN PERSON FINAL


Long Term Consulting Opportunity

  • Translate functional requirements into configurations: modules, schema changes, workflows, calculations, and task-focused UIs.
  • Partner with technical developers, vendors and architects to deliver high-quality solutions, enhancements, and upgrades.
  • Liaison between business and IT, business requirements, and scrum meetings.
  • Support UAT planning, testing, and production validation for releases.
  • Design and optimize reporting, dashboards, and control monitoring tools.
  • Track and manage a backlog of features, enhancements, and fixes using Agile practices.

Required Skills:

  • 3+ plus years of Business Analysis and Project Management experience
  • Excellent verbal and written communication skills as well as ability to establish strong relationships across teams and business partners to effectively deliver work across the enterprise.
  • Experience working in Agile/Scrum environments using tools like JIRA, Confluence, or Azure DevOps.
  • Understanding of audit processes, control libraries, and enterprise risk governance.
  • Ability to document user stories, process flows, and functional requirements clearly and effectively.
  • Experience with system configuration, UAT coordination, and release management.
  • Excellent analysis, communication, problem solving, process improvement and leadership skills.
  • Ability to work independently or on a team, drive solutions with minimal supervision, be highly motivated and a quick learner.
  • Ability to synthesize business outcomes and high-level business requirements into clear feature breakdown and prioritization including writing user stories.