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Data Analyst Project Coordinator Jobs in Virginia

The Sr Financial Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to ... Drive and manage large-scale analytical projects that span multiple teams and functions.

Data Analyst

Hampden Sydney, VA · On-site

$30 - $37/hr

Provide periodic reports regarding the status of assigned projects and recommend corrective actions when necessary. The Data Analysis should have the following qualifications: * Bachelor's degree ...

Tharros is seeking an experienced Data Analyst to translate Mission Assurance data into decision ... Prepare, coordinate, track, and close tasking, staffing, and coordination packages related to ...

... the project - Competitive Salary Package starting from $60k to $70k annually with Benefits and ... Data Analytics Training Program is provided for selected candidates ** OPT students may also apply ...

This position requires maintaining briefing materials, conducting coordination and collaboration ... data from source information. * Collect, research, and analyze datat to support PoA development.

Refines the process for data call submissions to ensure there are no bottlenecks or single points ... Strong organizational, analytical, and technical writing skills to be able to document findings in ...

Privacy and Data Security * The promotional requirements for pharmaceuticals under the FDA and FTC ... The Project Coordinator must be able to perform the following duties and functions: * Partnering ...

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... Provides project input, updates, and standings to cover current and future operations and projects

Specific job responsibilities will vary by project role, but may include: * Quantify ambiguous business problems by analyzing business processes, data, and systems and gathering data requirements ...

... operations and projects Provides data-backed collaboration on schedules, project scope ... data analysis experience Current DoD 8140 - IAT II Certification (e.g CompTIA Security ...

Specific job responsibilities will vary by project role, but may include: * Quantify ambiguous business problems by analyzing business processes, data, and systems and gathering data requirements ...

Specific job responsibilities will vary by project role, but may include: * Quantify ambiguous business problems by analyzing business processes, data, and systems and gathering data requirements ...

Data Analyst

Vienna, VA · On-site

$50 - $55/hr

Data Analyst Location: Vienna, Virginia Duration: Initial 6 months contract with extensions ... Core Skills Project management, SQL, stakeholder communication, governance partnerships, analyst ...

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... Provides project input, updates, and standings to cover current and future operations and projects

Showing results 41-60

Data Analyst Project Coordinator information

What does a data analyst project coordinator do?

A Data Analyst Project Coordinator is responsible for managing and coordinating data analysis projects within an organization. They bridge the gap between data analysts, project managers, and stakeholders to ensure projects are completed on time and meet business objectives. Their duties often include planning project timelines, allocating resources, tracking progress, and communicating updates to all involved parties. Additionally, they may assist with data collection, analysis, and reporting to support project goals.

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

To thrive as a Data Analyst Project Coordinator, you need strong analytical skills, project management abilities, and a solid understanding of data visualization and reporting, often supported by a degree in statistics, business, or a related field. Proficiency with tools such as Excel, SQL, Tableau, and project management software like Asana or Trello is typically required, along with relevant certifications such as CAPM or PMP being advantageous. Excellent communication, organization, and problem-solving skills help ensure effective collaboration across teams and clear reporting of project progress. These competencies enable efficient, data-driven decision-making and successful project execution in fast-paced business environments.

How does a data analyst project coordinator typically collaborate with cross-functional teams during a project?

A Data Analyst Project Coordinator works closely with data analysts, project managers, IT specialists, and business stakeholders to ensure projects stay on track and deliver actionable insights. They facilitate communication, schedule meetings, and coordinate data collection efforts, while also translating business requirements into actionable data tasks. This role often involves balancing multiple priorities, resolving data-related roadblocks, and ensuring all team members are aligned with project goals and timelines. Effective collaboration and strong organizational skills are essential for success in this position.

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

AspectData Analyst Project CoordinatorData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; some certifications like CAP or Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related; certifications like Microsoft Certified Data Analyst or Tableau Desktop Specialist
Work EnvironmentProject teams, cross-functional departments, often in corporate or consulting settingsData-focused teams, IT departments, analytics firms, or business units
Employer & Industry UsageUsed in project management, coordinating data tasks, ensuring project deliverablesUsed for analyzing data, creating reports, and deriving insights for decision-making

The main difference is that a Data Analyst Project Coordinator combines project management skills with data analysis, focusing on coordinating data-related projects. In contrast, a Data Analyst primarily focuses on analyzing data to generate insights. Both roles require similar educational backgrounds and certifications but differ in their core responsibilities and work environment.

What are the most commonly searched types of Data Analyst Project jobs in Virginia?

The most popular types of Data Analyst Project jobs in Virginia are:

What are popular job titles related to Data Analyst Project Coordinator jobs in Virginia?

For Data Analyst Project Coordinator jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Analyst Project Coordinator jobs in Virginia look for?

The top searched job categories for Data Analyst Project Coordinator jobs in Virginia are:

What cities in Virginia are hiring for Data Analyst Project Coordinator jobs?

Cities in Virginia with the most Data Analyst Project Coordinator job openings:

Infographic showing various Data Analyst Project Coordinator job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst (Full-time, Remote)

Integrity Management Services, Inc.

Alexandria, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Us
http://www.integritym.com
Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.
At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees' professional development. Large company perks...Small company feel!
Description:
In this role, the Data Analyst will provide analytical data support through data extraction, transformation, and analysis utilizing Python, SQL, and other statistical and data engineering tools. The Data Analyst will support data integration, ETL processes, reporting, and advanced analytics while working independently and collaboratively with project stakeholders to develop high-quality, data-driven solutions.
Job Responsibilities:
Business Analysis and Data Modeling
  • Design, develop, maintain, and optimize ETL (Extract, Transform, Load) processes to support data integration, validation, reporting, and analytics requirements.

  • Conduct routine and advanced business analysis using statistical techniques, data mining, and explanatory or predictive modeling to support operational and strategic decisions.

  • Build and apply complex analytical models and data solutions using tools such as Python, Snowflake, Databricks R, SQL and SAS to address project-specific requirements and support operational decision-making.

  • Research industry best practices and contribute to the development of data-driven solutions and actionable recommendations for improving business operations.

  • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines across relational and cloud-based data platforms.

  • Perform data profiling, cleansing, transformation, reconciliation, and quality assurance activities to ensure the accuracy and integrity of analytical datasets.

Client Engagement and Reporting
  • Collaborate with internal and external clients to gather analytical requirements and deliver ad hoc reports and data products that meet defined objectives.

  • Interpret business data and translate findings into clear, meaningful insights for diverse audiences, including technical and non-technical stakeholders.

  • Collaborate with business users, data engineers, and technical stakeholders to define data requirements and implement scalable data ingestion, transformation, and reporting solutions.

Collaboration and Communication
  • Participate in team projects and brainstorming sessions to evaluate methodologies and study designs that support program goals.

  • Communicate analytical methods and results clearly, ensuring procedures and outcomes are well understood by both technical teams and end users.

  • Research best practices and supports developing the solutions and recommendations for the current business operations.

  • Performs routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining).

  • Provides business data interpretation.

  • Maintains strict confidentiality and security of all sensitive and/or business confidential information obtained or accessed during the course of business and/or contract operations.

  • Ensures compliance with all applicable privacy and security training requirements (both IntegrityM and external/client-based), whether on an annual or ad/hoc basis.

Requirements
  • Minimum of a Bachelor's Degree or a related discipline, or in another relevant field in health-related, scientific, or public policy/business discipline with extensive quantitative methods/statistical coursework.
  • Possesses at least 3 years of relevant experience in data analytics, SQL development, ETL processes, reporting, business intelligence, or related data management functions.
  • Strong proficiency in Python, R, SQL, and SAS, with experience utilizing cloud-based data platforms such as Snowflake and Databricks to support data analysis, project requirements, reporting, automation, and operational decision-making.
  • Experience designing, developing, maintaining, and troubleshooting ETL/ELT processes and data integration workflows within cloud-based environments such as Snowflake, Databricks, Azure, AWS, or similar platforms.
  • Strong SQL proficiency, including writing complex queries, joins, views, and stored procedures; performing data validation and performance optimization; and supporting data warehousing, reporting, and analytics initiatives.
  • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment.
  • Responds to tasks or requests in a cooperative and timely manner.
  • Demonstrates adaptability to change and initiates or identifies change when necessary.
  • Ability to communicate effectively in writing and orally conveying results in concise yet non-technically language to a variety of different audiences.
  • Work collaboratively with team members to meet the needs of the organization.
  • Willingness to work collaboratively with team members on multiple tasks concurrently.
  • Independently can make good judgments and decisions without a high degree of supervision.
  • Detail-oriented and able to work under deadlines.
  • Ability to take initiative, to maintain confidentiality, to meet deadlines, and to work in a team environment.
  • Ability to report work activity on a timely basis.
  • Ability to multitask and prioritize assignments while meeting deadlines.
  • Must pass post hire background screening checks.
  • For remote work, required to have wired and/or wireless internet access.
  • Ability to obtain security clearance, if required by Client/Contract.

Benefits
This position is eligible for the benefits applicable to full-time regular employees, such as: vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits.
U.S. remote annual salary range: $55,000-$85,000/annual
For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.