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Data Analytics Coordinator Jobs in Virginia (NOW HIRING)

Works under the general supervision of the Missing Child & Data Analytics Team Program Manager ... abductions of children, coordination with ASD interns to enter confirmed incidents into the ...

The Program Manager - Data Analytics will serve as the primary point of contact for the Government ... Maintain on-going coordination with contract support team to ensuretimely and accurate completion ...

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Data Analytics Coordinator information

How does a data analytics coordinator typically collaborate with cross-functional teams within an organization?

A Data Analytics Coordinator frequently works with various departments such as marketing, finance, and operations to understand their data needs and translate business questions into analytical projects. This role often facilitates communication between technical data analysts and non-technical stakeholders, ensuring that insights are actionable and aligned with business objectives. Effective collaboration involves attending regular meetings, managing project timelines, and providing data-driven recommendations to support decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics coordinator, and why are they important?

To thrive as a Data Analytics Coordinator, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), database management systems (like SQL), and possibly certifications in analytics or business intelligence are typically important. Excellent communication, organizational abilities, and attention to detail help you translate complex data into actionable insights and coordinate with various teams. These skills are crucial for ensuring that accurate data drives strategic decisions and supports organizational goals.

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

AspectData Analytics CoordinatorData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Data AnalystBachelor's or master's in data science, statistics, or related; similar certifications often preferred
Work EnvironmentCollaborates with teams, manages data projects, supports data collection and reportingAnalyzes data, develops reports, interprets data trends for decision-making
Employer & Industry UsageUsed across industries like healthcare, finance, marketing; often in roles supporting data teamsCommon in tech, finance, healthcare; focused on data analysis and insights generation

While both roles require similar educational backgrounds and certifications, Data Analytics Coordinators typically focus on managing data projects and supporting teams, whereas Data Analysts primarily analyze data and generate insights. The roles often overlap, but the Coordinator role emphasizes project support and coordination within data teams.

Is data analytics well paid?

Data Analytics Coordinators typically earn competitive salaries that vary by experience, location, and industry. Entry-level roles may start lower, but with skills in tools like SQL, Python, or Tableau, and relevant certifications, salaries tend to increase significantly with experience. Overall, data analytics is considered a well-paying field compared to many other entry-level positions.

What does a data analytics coordinator do?

A data analytics coordinator manages and analyzes data to support business decision-making. They collect, interpret, and visualize data using tools like Excel, SQL, or Tableau, and often collaborate with teams to improve processes and strategies. Strong analytical skills and attention to detail are essential for this role.

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

The most popular types of Data Analytics jobs in Virginia are:

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

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

What cities in Virginia are hiring for Data Analytics Coordinator jobs?

Cities in Virginia with the most Data Analytics Coordinator job openings:

Infographic showing various Data Analytics Coordinator job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Health Data Analytics Consultant

UnitedHealth Group

Reston, VA • On-site

$91K - $163K/yr

Full-time

Retirement

Re-posted 5 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 rated healthcare providers


Job description

For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together.
Optum Serve Consulting/The Lewin Group (OSC/Lewin), a premier national health care and human services consulting and policy analysis firm, brings 50 years of experience finding answers and solving problems for leading organizations in the public, non-profit, and private sectors.
In the wide-ranging field of health human services consulting, OSC/Lewin provides both depth and breadth of expertise. Currently, OSC/Lewin has more than 250 consultants drawn from industry, government and academia. They all share a solid commitment to OSC/Lewin's core values of objectivity, integrity, analytical innovation, vision, and dedication to client satisfaction.
At OSC/Lewin, we help federal, state, and other decision-makers strengthen health and human services programs, make informed policy choices, and implement critical initiatives. The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SQL or Python experience as well as knowledge of statistics and research methodology.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Schedule: Monday - Friday, daylight
Primary Responsibilities:
  • Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models
  • Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
  • Work with clients to verify analysis parameters and specifications
  • Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy
  • Efficiently query large databases of healthcare claims and eligibility data
  • Write detailed specifications and documentation of data processing and analytical steps
  • Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
  • Maintain a consistently high degree of accuracy and attention to detail in all tasks
  • Work effectively and cooperatively as a member of a project teams
  • Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 4+ years of experience in health/analytics related field
  • 4+ years of experience using Python, SQL or R in a research, consulting, or business environment
  • Experience working with medical claims and enrollment data in large data warehouse environments
  • Experience in preparing data and information and contributing to reports and presentations
  • Experience working on implementing or evaluating value-based payment programs
  • Experience working in Snowflake or Databricks environments
  • Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
  • Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines

Preferred Qualifications:
  • Experience conducting statistical analysis to inform health policy
  • Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse
  • Experience managing and analyzing large datasets using SAS grid and other parallel processing techniques
  • Experience with other software such as Excel (e.g., pivot tables, VBA)
  • Understanding of Medicare and Medicaid payment methodologies

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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