Bachelor’s in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience.
2–5 years of experience in data engineering, database management, and analytical. methodologies, including designing and optimizing data pipelines and ETL processes.
Demonstrable experience designing and implementing data processing solutions with relational or unstructured data to facilitate analytical applications.
Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL), including optimization of SQL queries.
Demonstrable experience with distributed data processing frameworks such as Spark or Hadoop preferred.
Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required.
Experience with at least one object-oriented programming language (e.g., Python, Java, Scala).
This position requires candidates to obtain a Public Trust Clearance.
Due to the nature of work, U.S. Citizenship is required.
Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.
Comfortable working on projects and with teams with heavy technical focus, including data analytics, machine learning, and/or business intelligence technologies.
Strong collaboration skills and ability to work well in a team environment.
Excellent verbal and written communication skills.
Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans.
Strong client and team interaction skills.
Critical thinker with excellent attention to detail.

Data Analyst

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