Overview
Skills
Job Details
Job Title: Data Analyst
Location: Richmond, VA or McLean, VA (Hybrid)
Duration: Long-Term Contract
Employment Type: W2 Only
Job Summary
We are seeking a highly skilled Data Analyst to join our team on a long-term W2 contract. The ideal candidate must have 3–5 years of professional experience after completing their bachelor’s degree (prior to starting a master’s program) and strong expertise in Python, SQL, AWS, Tableau, and Snowflake. This role involves working with large datasets, building analytical solutions, and supporting data-driven decision-making across the business.
Key Responsibilities
Perform data extraction, transformation, and analysis using SQL, Python, and other analytic tools.
Develop dashboards, visualizations, and reports in Tableau to support business insights.
Work with cloud-based data infrastructure on AWS (S3, Lambda, Glue, Redshift, etc.).
Develop and optimize ETL/ELT pipelines in Snowflake and other data systems.
Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions.
Ensure data quality, integrity, and security across multiple environments.
Perform ad-hoc analysis and create automated reporting solutions.
Document data processes, workflows, and best practices.
Required Qualifications
Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related field.
Must have 3–5 years of industry experience AFTER completing the bachelor’s degree and BEFORE starting any master’s program.
Strong proficiency in SQL for querying and manipulating large datasets.
Advanced skills in Python, including Pandas, NumPy, and data processing libraries.
Hands-on experience with AWS services used in data engineering/analytics.
Experience working with Snowflake (query optimization, warehouses, schemas, data modeling).
Proficiency in Tableau for building dashboards and visual insights.
Strong analytical thinking, problem-solving, and communication skills.
Ability to work in a fast-paced, collaborative environment with minimal supervision.
Preferred Qualifications
Master’s degree (completed after required 3–5 years of post-bachelor’s experience).
Experience with Git, Airflow, or other orchestration tools.
Knowledge of statistical modeling or machine learning concepts.
Familiarity with Agile methodologies.
Additional Information
W2 only — No C2C, No 1099.
Hybrid work model (3 Days onsite).
Candidates must be authorized to work for any employer in the U.S.