Role: Data Science Analyst Location: Remote (Washington, DC preferred) Type: Full-Time Clearance: Ability to obtain Public Trust Clearance
Minimum of 3 years (5-7 years preferred) performing exploratory data analysis to understand the characteristics of a data set and identify potential issues.
Demonstrated experience of efficient manipulation and wrangling of large datasets
Hands on experience and expertise with SQL, Python or PySpark (preferred), or R
Comfortable dealing with ambiguity, making assumptions, drawing conclusions and distilling complex analysis for non-technical audiences.
Strong data visualization skills (Tableau preferred)
Experience with data warehousing, and knowledge of ETL/ELT best practices.
Familiarity with the AWS data ecosystem (S3, AWS Glue, EMR, etc.)
Comfortable working cross-functionally with different parts of the data analytical areas, and with distributed teams across multiple time zones.
Ability to thrive in a fast-paced, entrepreneurial, high-energy environment with shifting priorities.
Outstanding communication skills and a good team player
Improvix Technologies, Inc. is an Information Technology and Services company focused on developing, implementing, and managing secure mobile technology solutions. We invite you to join our dynamic organization serving federal and corporate clients. Improvix Technologies offers competitive salaries and a comprehensive benefits package to provide our employees with financial and health protection and advantages they deserve. Our benefits include 401K matching, life insurance, up to four weeks of paid annual leave, transit and training compensation, health, dental and vision benefits. -
Improvix Technologies, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sexual orientation, religion, age, national origin, disability status or any other class protected by law. U.S. Citizenship is required for most positions.