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Salary
$130k – $190k per year
Location
In office (Herndon)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
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RGI

RGI is an international software vendor specializing in digital transformation solutions and core software systems for the global insurance industry. The company develops comprehensive insurance management platforms - such as PASS - that handle policy administration, claims processing, billing, and reinsurance for both Life and Non-Life lines of business. Operating extensively across EMEA, it helps insurers streamline operations, modernize legacy technology, and accelerate their transition to cloud-first environments.

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...

    • Responsible for performing and developing dataset evaluations and assessments to inform government decision making.

    • Shaping data engineering approaches for analytic tradecraft improvements within our applications.

    • Identifying and documenting gaps within our data corpus and analytical capabilities.

    • Working hand-in-hand with software developers to field requirements and provide feedback as changes are implemented into an application.

    • Working with end-users to provide SME support for various data or application questions and requests.

Big Data Analyst Qualifications:

    • Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph.

    • Bachelors degree in a relevant field. Equivalent years of experience may be substituted in lieu of a degree.

    • 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 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.

    • Excellent written and verbal communication skills.

    • Must be a self-starter with excellent time-management skills and the ability to independently manage multiple concurrent tasks.

    • Must be experienced working in fast-paced environments.

    • Experience working with Software Engineers to provide feedback and validate the technical implementation for custom applications.

    • Experience working with a scripting language like Python, SQL, Spark, PySpark or similar.

    • Must be able to work on-site in Herndon, VA, with the ability to work in Springfield, VA as needed.

Things we would like to see...

    • 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 and ensuring they remain up to date with the latest information.

    • 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 Zepplin.

    • Experience working with other intel analysts and/or special operations customers.

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