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Data Analyst Project Manager Jobs (NOW HIRING)

Jefferson Capital Systems

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

... management, and data quality oversight. This role develops and maintains performance reporting ... Support analytical projects by gathering requirements, preparing data, conducting analysis, and ...

New

JM Huber Corporation

Data Analyst

Charlotte, NC

... project delivery, managing requirements, deployment, and competing stakeholder priorities • ... analytics solutions and standardized data logic with documentation • Identify gaps in reporting ...

CCS INC

Data Analytics Project Manager

Plano, TX · On-site

$65 - $75/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR equivalent work experience. In total 10+ Years of experience. * 10 years + Project Management ...

GTT, LLC

Operations Data Analyst

Dublin, CA

$45 - $50/hr

Job Summary The Operations Data Analyst will manage standard, routine data analysis projects with limited supervision from initial request through presenting data results ensuring that projects are ...

Posted today

Vanguard Group

Data Analyst, Specialist

Charlotte, NC · On-site

This role involves structuring complex business requests into well-defined analytical projects ... Develops, owns and manages recurring analytic or reporting processes. * Mentors, coaches, trains ...

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site +1

Participate in data management tasks by querying and merging datasets. * Learn and develop ... Participate in innovative data analysis projects and contribute to the organization's journey ...

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

ALLO Fiber

Senior Data Analyst

Springfield, NE

$84K - $106K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Strong project management skills, with the ability to manage multiple priorities and deadlines.

ALLO Fiber

Senior Data Analyst

Imperial, NE

$80K - $101K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Strong project management skills, with the ability to manage multiple priorities and deadlines.

ALLO Fiber

Senior Data Analyst

Scottsbluff, NE

$91K - $115K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Strong project management skills, with the ability to manage multiple priorities and deadlines.

ALLO Fiber

Senior Data Analyst

York, NE

$84K - $106K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Strong project management skills, with the ability to manage multiple priorities and deadlines.

ALLO Fiber

Senior Data Analyst

Lincoln, NE · On-site

$74K - $94K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Strong project management skills, with the ability to manage multiple priorities and deadlines.

ALLO Fiber

Senior Data Analyst

Sidney, NE

$87K - $110K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Strong project management skills, with the ability to manage multiple priorities and deadlines.

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Data Analyst Project Manager information

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$34K

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

As of Aug 12, 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.

Can a data analyst be a project manager?

A data analyst can transition into a project management role by developing skills in leadership, communication, and project planning. While data analysts typically focus on data interpretation and reporting, project managers oversee project execution, timelines, and team coordination, often requiring certifications like PMP. Combining technical expertise with project management skills can enable a data analyst to take on project management responsibilities.

What are the key skills and qualifications needed to thrive as a data analyst project manager?

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 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.

How do data analyst project managers 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.

Who earns more, a data analyst or a data analyst project manager?

A data analyst project manager typically earns more than a data analyst due to additional responsibilities, leadership duties, and project management skills. Salaries can vary based on experience, industry, and location, but project managers generally have higher compensation levels in data-related roles.
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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 August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Jefferson Capital Systems

Sartell, MN • On-site

$50K - $60K/yr

Full-time

Posted yesterday

New

Job description

JOB SUMMARY
The Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved efficiency and decision making. Success in this role requires strong analytical thinking, attention to detail, problem-solving ability, and a passion for leveraging data to drive business outcomes.
ROLES & RESPONSIBILITIES
  • Work with executives and other business leaders to identify opportunities for process improvement and data-driven decision making.
  • Complete recurring data processing activities, including file creation, validation, quality control reviews, report generation, and distribution.
  • Develop, maintain, and enhance performance reporting used by internal stakeholders to monitor key business metrics and trends.
  • Analyze large datasets to identify patterns, trends, anomalies, and opportunities for operational improvement.
  • Support analytical projects by gathering requirements, preparing data, conducting analysis, and communicating findings.
  • Define, document, and improve business processes that enhance the value and usability of internal and external data.
  • Collaborate with cross-functional teams to implement analytical solutions that improve efficiency, reporting, and business outcomes.
  • Validate process changes and business initiatives to measure effectiveness and quantify operational impact.
  • Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability of reports and datasets.
  • Create and maintain process documentation, data definitions, validation procedures, and reporting methodologies.
REQUIREMENTS
  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered.
  • Proficiency in Excel; experience with SAS, SQL, or relational databases is highly desired.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail, communication skills, and the ability to manage multiple priorities in a fast-paced environment.
  • Self-motivated and able to work independently while also contributing effectively within a team environment.

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