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Data Analysis Associate Jobs in Virginia (NOW HIRING)

TLA-LLC

Data Analyst

Mclean, VA

Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data ... Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data ... Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified ...

JT International S.A.

FP&A Associate

Danville, VA · On-site

Alfredo Laferte, Talent Attraction Expert FP&A Associate Purpose of the Role The FP&A Associate ... The role delivers clear insights into performance, risks, and opportunities while ensuring data ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Design and execute data analysis workflows using statistical and mathematical modeling techniques ... Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Design and execute data analysis workflows using statistical and mathematical modeling techniques ... Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge ...

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Data Analysis Associate information

Is 40 too late for data science?

For a Data Analysis Associate or similar data-related roles, starting a career at 40 is possible, especially with relevant skills like proficiency in SQL, Python, or R, and a strong understanding of data concepts. Many employers value experience and analytical skills over age, and career changers often succeed by gaining certifications or completing relevant projects. Age should not be a barrier if you are committed to learning and developing your expertise in data analysis or data science tools.

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

A Data Analysis Associate can perform data collection, cleaning, and analysis using tools like Excel, SQL, and statistical software. They often support decision-making processes by creating reports, dashboards, and visualizations to interpret data insights for organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a Data Analysis Associate involves interpreting complex data, making strategic recommendations, and communicating insights, which require human judgment. AI is a complement to data analysts' skills, and proficiency in tools like SQL, Excel, and data visualization software remains essential for the role.

What does a Data Analysis Associate do?

A Data Analysis Associate is responsible for collecting, organizing, and interpreting large sets of data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights. Their work often involves preparing reports, collaborating with other teams, and ensuring data accuracy and integrity. Data Analysis Associates play a key role in supporting decision-making processes and optimizing business performance.

How does a Data Analysis Associate typically collaborate with other departments within an organization?

Data Analysis Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations to interpret data and provide actionable insights. They often attend meetings to understand department-specific goals, gather requirements, and present findings in a way that is accessible to non-technical colleagues. This collaboration is key to ensuring that analytical recommendations align with broader business objectives and lead to informed decision-making. Strong communication skills and adaptability are essential for success in these collaborative settings.

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

To thrive as a Data Analysis Associate, you need strong analytical skills, proficiency in statistics, and typically a degree in a quantitative field such as mathematics or economics. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and conveying insights to stakeholders. These skills and qualities are crucial for transforming complex data into actionable business decisions and driving organizational success.

What does the data analysis associate do?

A data analysis associate collects, organizes, and examines data to identify trends and support decision-making. They often use tools like Excel, SQL, or statistical software and may prepare reports or visualizations to communicate findings effectively.
What are the most commonly searched types of Data Analysis jobs in Virginia? The most popular types of Data Analysis jobs in Virginia are:
What cities in Virginia are hiring for Data Analysis Associate jobs? Cities in Virginia with the most Data Analysis Associate job openings:
Data Analysis Associate jobs near you

Data Analyst

TLA-LLC

Mclean, VA

Other

Posted yesterday

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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