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Data Project Coordinator Jobs (NOW HIRING)

Project Coordinator Location: Stamford, CT - 06902 Duration: 5 month (may extend) Summary: * The ... This role combines elements of data analysis, project management, and event management capabilities.

Healthcare Data Project Manager

Austin, TX · Hybrid

$51.25 - $69.25/hr

Healthcare Data Project Manager Location: Austin, Texas (Hybrid) Client: State of Texas Interview ... coordinating cross-functional teams, stakeholders, vendors, and technical resources. Required ...

The ideal candidate will have a minimum of 4 years of multitasking, project coordination, data management, project tracking, thorough documentation, and supporting the full cycle execution of various ...

Project Coordinator

Statesville, NC · On-site

$24 - $28/hr

Support reporting and basic data organization using Microsoft Office (Excel, Outlook, Word ... project coordination, administrative support, customer service, or operations * Strong ...

Data and Cost Management : * Assist Project Managers in reviewing weekly time entries for accuracy ... Communication and Coordination : * Facilitate communication between internal teams and external ...

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Data Project Coordinator information

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How much do data project coordinator jobs pay per hour?

As of May 31, 2026, the average hourly pay for data project coordinator in the United States is $28.81, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $33.17 per hour, depending on experience, location, and employer.

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

To thrive as a Data Project Coordinator, you need strong project management skills, data analysis abilities, and a background in fields like information systems or business administration. Familiarity with project management tools (such as Asana or Trello), data visualization software (like Tableau or Power BI), and proficiency in Excel or SQL are commonly required. Excellent communication, problem-solving, and organizational skills help you manage stakeholders and coordinate complex data-driven projects. These skills ensure timely project delivery, data accuracy, and effective collaboration across teams.

What are some common challenges faced by Data Project Coordinators when managing cross-functional teams, and how can these be addressed?

Data Project Coordinators frequently manage projects that require collaboration across departments such as IT, analytics, and business operations. A common challenge is aligning different teams’ priorities and communication styles, which can lead to misunderstandings or delays. To address this, effective coordinators establish clear project timelines, facilitate regular status meetings, and use project management tools to ensure transparency. Building strong relationships and understanding each team's workflow also helps anticipate bottlenecks, enabling smoother project execution.

What is a Data Project Coordinator?

A Data Project Coordinator is a professional responsible for organizing, managing, and overseeing data-related projects within an organization. They work closely with data analysts, engineers, and other stakeholders to ensure projects are completed on time, within scope, and according to quality standards. Their tasks often include scheduling, resource allocation, progress tracking, and communication between team members. Data Project Coordinators help bridge the gap between technical teams and business objectives, ensuring that project goals align with organizational needs.

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

AspectData Project CoordinatorData Analyst
Primary RoleCoordinates data projects, manages timelines, and ensures project deliverablesAnalyzes data sets to identify trends, generate reports, and support decision-making
Required SkillsProject management, communication, basic data handlingStatistical analysis, data visualization, SQL, Excel
Work EnvironmentProject teams, cross-departmental collaborationData teams, analytics departments
Common CertificationsCertified Associate in Project Management (CAPM), PMP (preferred)Microsoft Excel, SQL certifications, Google Data Analytics

While both roles involve working with data, the Data Project Coordinator focuses on managing data-related projects and ensuring timely delivery, whereas the Data Analyst concentrates on analyzing data to extract insights. They often collaborate but serve different functions within organizations.

What cities are hiring for Data Project Coordinator jobs? Cities with the most Data Project Coordinator job openings:
What are the most commonly searched types of Data Project jobs? The most popular types of Data Project jobs are:
What states have the most Data Project Coordinator jobs? States with the most job openings for Data Project Coordinator jobs include:
Data Project Manager (TS Cleared)

Data Project Manager (TS Cleared)

The Building People

Washington, DC • On-site

$58.50 - $79.25/hr

Other

Posted 5 days ago


Job description

Please note that this position is for an upcoming position. We are, however, accepting applications for this anticipated need. If you are interested in joining The Building People, we encourage you to APPLY TODAY! 

The Building People, LLC, has a position for a Data Project Manager to support a federal client. The Data Project Manager uses PowerPlatform, CAD, and other design/space technology software to provide support to Project Management, Occupancy Planning, and Move Managers. 
Key Responsibilities
• Provides expertise in build-out, management, and refinement of PowerPlatform-based tools used to collect, process and measure data from multiple sources to produce valuable metrics on space utilization
• Collect and analyze data from multiple sources 
• Collect, maintain, analyze, and report space, occupancy, workforce, and facilities-related data to support decision-making
• Develop and maintain dashboards, trackers, reports, charts, and other visuals to support space utilization, move planning, and resource requirements 
• Analyze space utilization trends, identify gaps, conflicts, inefficiencies, and risks, and recommend practical improvements to support operations 
• Support physical space planning, seating optimization, office move coordination, and implementation planning.
• Manage and report space allocation data
• Proactively monitor space allocation data and changes and generate needed reports and analysis on space allocation and utilization
• Maintain data integrity by validating source information, resolving discrepancies, documenting assumptions, and ensuring reports and dashboards reflect current conditions