Big Data Analyst
Performs and develops dataset evaluations and assessments to inform government decision-making, shapes data engineering approaches, and provides SME support to end-users. Works on-site in Herndon, VA using scripting tools like Python, SQL, and Spark/PySpark for Defense and Intelligence geospatial missions; an active TS/SCI and CI polygraph are required.
- Compensation
- $130K–$190K / yr
- Location
- Herndon, VA
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Current/active TS/SCI clearance and willing/able to obtain a CI polygraph
- Bachelor's degree in a relevant field (equivalent experience may substitute)
- At least 5 years of experience as a data analyst, data scientist, or similar
- Experience formulating a repeatable process for data evaluations and communicating findings to government officials
- In-depth knowledge of technical data types, including Technical Telemetry Data and telecommunication protocol data (cellular, wi-fi)
- Excellent written and verbal communication skills
- Self-starter with excellent time-management skills, able to independently manage multiple concurrent tasks
- Experience working in fast-paced environments
- Experience working with Software Engineers to provide feedback and validate technical implementation for custom applications
- Experience with a scripting language like Python, SQL, Spark, PySpark, or similar
- Able to work on-site in Herndon, VA, with ability to work in Springfield, VA as needed
- U.S. Citizenship required
Nice to have
- Ability to translate technical conclusions and present them to a broader audience
- Experience conducting geospatial analysis including Activity-Based Intelligence or Pattern of Life analysis
- Experience applying, improving, and documenting innovative analytic methodologies
- Experience with Elasticsearch/Kibana
- Experience in a customer-facing role
- Familiarity with Gitlab and the Software Development Lifecycle
- Experience working with Jupyter Notebooks or Apache Zeppelin
- Experience working with other intel analysts and/or special operations customers
Full description
Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS.
We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one.
Our culture is defined and anchored by three pillars:
Energy: We bring passion, purpose, and urgency to our work.
Edge: We take initiative, embrace growth, and step outside our comfort zone.
Execution: We get things done smartly, decisively, and with real results.
If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team.
As a Big Data Analyst you will...
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Responsible for performing and developing dataset evaluations and assessments to inform government decision making.
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Shaping data engineering approaches for analytic tradecraft improvements within our applications.
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Identifying and documenting gaps within our data corpus and analytical capabilities.
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Working hand-in-hand with software developers to field requirements and provide feedback as changes are implemented into an application.
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Working with end-users to provide SME support for various data or application questions and requests.
Big Data Analyst Qualifications:
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Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph.
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Bachelors degree in a relevant field. Equivalent years of experience may be substituted in lieu of a degree.
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At least 5 years of experience as a data analyst, data scientist or similar.
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Experience formulating a repeatable process for data evaluations and communicating findings to government officials.
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In-depth knowledge of technical data types based on previous research and work with data sets of interest. Data types of interest include Technical Telemetry Data and other forms of telecommunication protocol data types, including cellular and wi-fi.