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Analytics Associate Jobs in Washington (NOW HIRING)

The FP&A Associate will provide wholistic financial management ofa portfolio of ~1GW of thermal and Utility scale renewable power plants in operations. * Wholistic financial management includes ...

DIRECTOR, DATA & ANALYTICS

Washington, DC · On-site

$150K - $160K/yr

We have over 284,000 US associates who work in award-winning restaurants, corporate cafes ... The Director of Data & Analytics will lead a high-impact analytics team within a multi-unit ...

Senior Business Data Analyst

Rockville, MD · On-site

$87K - $110K/yr

... analytics or process automation (e.g., CAP, Microsoft Certified: Data Analyst Associate, or UiPath Certified Professional) • Experience with GFEBS and other DoW financial systems listed in the PWS ...

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Analytics Associate information

See Washington salary details

$3.7K

$7.1K

$10.2K

How much do analytics associate jobs pay per month?

As of Jun 11, 2026, the average monthly pay for analytics associate in Washington is $7,124.75, according to ZipRecruiter salary data. Most workers in this role earn between $6,466.67 and $7,600.00 per month, depending on experience, location, and employer.

What can you do with an associate's in data analytics?

An Analytics Associate with an associate's degree can perform data collection, cleaning, and analysis using tools like Excel, SQL, and basic statistical software. They often support data reporting, visualization, and assist in identifying trends to inform business decisions, typically working under supervision or as part of a data team.

How does an Analytics Associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

What does an associate analyst do?

An associate analyst supports data collection, analysis, and reporting to help organizations make informed decisions. They often work with tools like Excel, SQL, or data visualization software and may assist in preparing reports, identifying trends, and ensuring data accuracy under the supervision of senior analysts.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

What are the key skills and qualifications needed to thrive as an Analytics Associate, and why are they important?

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

Is 40 too late for data science?

For an analytics associate or similar data-related roles, starting a career in data science at age 40 is possible, especially with relevant skills like programming, statistics, and tools such as Python or SQL. Many professionals transition into data science later in their careers, and employers value experience and diverse backgrounds. Continuous learning and certifications can enhance prospects regardless of age.
What are the most commonly searched types of Analytics jobs in Washington? The most popular types of Analytics jobs in Washington are:
What are popular job titles related to Analytics Associate jobs in WA? For Analytics Associate jobs in WA, the most frequently searched job titles are:
Infographic showing various Analytics Associate job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $85,497 per year, or $41.1 per hour.

Data Management Analyst

Sellers & Associates

Washington, DC • On-site

Full-time

Posted 22 days ago


Job description

Sellers & Associates LLC seeking a versatile and detail-oriented Data Management Analyst to join our team in Washington, D.C., or Plant City, F.L.

This full-time position supports software engineering and IT services with efforts across data analytics, and data engineering. The role will focus on building data dashboards, conducting statistical analysis, implementing data pipelines, and integrating disparate data sources to support analytics and reporting for federal agencies. The ideal candidate will have hands-on experience with Power BI, Dataverse, and other low-code or COTS technologies in a government environment, along with an interest in growing into more advanced data engineering and integration responsibilities over time.

Experience Level: ENTRY/MID (2-4 years experience)

Location: Washington, DC or Plant City, FL

Travel Allocation: 0-10%

Clearance: Secret


Duties & Responsibilities

  • Collaborate with customers and stakeholders to refine user needs and translate them into structured data requirements, reporting logic, and data relationships that support analytics and data-centric solutions.
  • Analyze diverse datasets and apply statistical and analytical methodologies to derive insights that address customer problems.
  • Own end-to-end data workflows including data collection, ingestion, cleaning, transformation, and visualization.
  • Design, develop, and deploy dashboards and data visualizations that support reporting and decision-making.
  • Build and maintain data models, reporting structures, and data relationships that support analytics, reporting, and data integration.
  • Clean, validate, and transform data to ensure quality and usability across downstream analytical solutions.
  • Support data ingestion, transformation, and automation workflows across multiple systems and repositories.
  • Write clear, maintainable, and well-documented queries, scripts, and configurations with a focus on quality and maintainability.
  • Troubleshoot data quality, reporting, and Dataverse-related issues and coordinate with senior team members on more complex platform or integration constraints.
  • Partner with cross-functional teams to support secure, functional, and intuitive data solutions

Requirements:  

  • Active Secret clearance required
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field is preferred. A minimum of 6 years of total relevant professional experience may be substituted in lieu of a degree.
  • 2-4 years of experience with data cleaning, analysis, and visualization or related technical support functions. Strong internship or project experience may also be considered.
  • Experience applying analytical and statistical techniques to derive insights and support customer reporting needs.
  • Experience integrating disparate data sources into unified datasets.
  • Experience performing data profiling and analysis to identify data quality issues, gaps, and risks, and driving mitigation strategies.
  • Experience building data pipelines that transform, clean, and load datasets from dispersed systems into centralized repositories and applications.
  • Experience ensuring data integrity and accuracy and dedication to adhering to security and confidentiality protocols.
  • Experience using SQL and relational databases, including experience writing and troubleshooting queries in systems such as SQL Server, PostgreSQL, or MySQL.
  • Experience working with Power BI and Dataverse, including data modeling, DAX, Power Query, data relationships, and dataflows within Microsoft Power Platform environments.
  • Familiarity with Git for version control and collaboration.
  • Attention to detail, excellent problem-solving skills, and commitment to delivering high-quality solutions.
  • Basic scripting or programming experience using Python, PowerShell, C#, or similar languages for automation or data processing tasks.
  • Familiarity with technical documentation best practices and writing architecture diagrams, configuration guides, and training materials.
  • Understanding of Agile development methodologies and collaborative team-based workflows.

Preferred:

  • Exposure to Azure services such as Azure SQL, Azure Data Factory, Azure Functions, or Data Lake concepts.
  • Exposure to RESTful APIs, third-party service integration, and data flow orchestration.
  • Previous experience working on government contracts or secure software environments.
  • Experience using Jira or similar tools to support Agile software development projects.
  • Agile certifications such as Certified ScrumMaster (CSM), Professional Scrum Master (PSM I/II), SAFe Scrum Master (SSM), or PMI Agile Certified Practitioner (PMI-ACP) are a plus.
  • Familiarity with Naval Sea Systems Command (NAVSEA) or U.S. Navy environments.
  • Relevant industry certifications such as CompTIA Security+, Microsoft Power Platform Fundamentals, Microsoft Azure Fundamentals, Power BI Data Analyst Associate, or AWS Cloud Practitioner are a plus.
  • Familiarity with secure or regulated IT environments and basic cybersecurity or access control concepts, including Risk Management Framework (RMF).


Sellers & Associates LLC (S&A) is a Veteran Owned Small Business (VOSB) that provides effective and affordable Programmatic and Engineering Support Services and Solutions for our Government and Commercial Clients. We work directly with our clients taking the time to understand their culture and requirements, designing a custom solution tailored to meet their unique needs at an affordable price without sacrificing quality. Our specialties include Program/Engineering Management, Training/Training Technology, Technology/Product Development Strategy and Analysis, Project Management (Cost, Schedule, Scope & Quality), and Strategic Planning applied within our clients' unique domains and context.

Sellers and Associates, LLC is an E-Verify company and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.



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