Data Analyst - Mid

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data holdings, ensure compliance with data standards, and perform quantitative analysis in direct support of Machine Learning model development. The ideal candidate brings strong analytical skills and a passion for transforming complex geospatial data into actionable insights and data-driven recommendations. This role plays a critical part in improving preprocessing productivity and advancing mission outcomes for the DoW and Intelligence Community.

What You'll be Owning

• Work to enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity

• Lead and conduct projects using advanced mathematical, statistical, and scientific techniques to:

• Examine complex mission and operational problem sets

• Create insights from large, complex datasets

• Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation capabilities

• Apply statistical and analytic methods to support:

• Answer intelligence questions and mission requirements

• Advanced data analysis initiatives

• Build lightweight analytic tools to:

• Visualize data metrics

• Assess progress of data preprocessing efforts against customer goals

• Design methods and mechanisms to track, report, and monitor data to ensure pipeline movements are timely and support all necessary processes

• Develop systems to provide automated checks on data and processes to guarantee continuous pipeline support

• Ingest and rectify non-standard data and data in formats new within the Data Management Platform (DMP) for integration and curation

• Generate and manage data dictionaries to ensure information stays updated as data tables change

• Provide data analysis expertise to determine whether imagery curation techniques and strategies are effective in identifying images of value, including:

• Images containing set criteria

• Images meeting specific imagery characteristics

What You Must Have

• Active TS/SCI Clearance with the ability to obtain a CI/Poly

• Experienced in preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets

• Experience with programming languages and tools including:

• Python

• R

• SQL

• GIS

• Tableau

• Experience developing visualizations to communicate analytical results to technical audiences and non-technical stakeholders

What Would be Nice to Have

• Experience working in AI/ML-relevant fields related to imagery exploitation