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Analytics Associate Jobs in Virginia (NOW HIRING)

TLA-LLC

Data Analyst

Mclean, VA · On-site

... Associate • Google Data Analytics Professional Certificate • Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms) Requirements ...

Key Choice Group

Power BI Developer

Glen Allen, VA · On-site

Power BI Data Analyst Associate Certification * Azure Enterprise Data Analyst Associate Certification * Insurance-related certifications such as AIDA or CPCU * Experience training or onboarding users ...

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Analytics Associate information

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How much do analytics associate jobs pay per month?

As of Jun 18, 2026, the average monthly pay for analytics associate in Virginia is $6,236.67, according to ZipRecruiter salary data. Most workers in this role earn between $5,658.33 and $6,650.00 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 Virginia? The most popular types of Analytics jobs in Virginia are:
What cities in Virginia are hiring for Analytics Associate jobs? Cities in Virginia with the most Analytics Associate job openings:
What are popular job titles related to Analytics Associate jobs in VA? For Analytics Associate jobs in VA, the most frequently searched job titles are:
Analytics Associate jobs near you
Infographic showing various Analytics Associate job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 67% Full Time, 31% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $74,840 per year, or $36 per hour.

Data Analyst

TLA-LLC

Mclean, VA • On-site

Full-time

Posted 29 days ago

Job description

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization.
Key Responsibilities:
  • Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
  • Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
  • Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
  • Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
  • Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
  • Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
  • Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.

Required Skills and Experience:
• Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations.
• Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis.
• Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation.
• Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred).
• Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.
Soft Skills
• Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences.
• Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis.
• Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions.
• Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.
Experience and Education
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
• Microsoft Certified: Power BI Data Analyst Associate
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)
Requirements
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
• Microsoft Certified: Power BI Data Analyst Associate
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

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