Data Analyst
About The Position
As a client-facing Data Analyst, you will guide a small team of analysts, developers, and data consumers in a fast-paced, Agile environment. You will use machine learning and statistical modeling to lead the design, development, and deployment of predictive models for clients. Working closely with clients, you will understand their questions and challenges and architect data-driven solutions in data-rich environments. You will build models to predict future outcomes and advise clients on how to interpret and use those predictions to proactively shape mission success. The role involves transforming structured and unstructured data into insights, machine-learning solutions, and artificial intelligence solutions for complex challenges.
Requirements
- Experience developing software or data applications using Python and SQL.
- Experience with data visualization techniques and tools such as Power BI or Tableau.
- Experience with modern web application technologies, APIs, or full-stack development.
- Experience in data validation, feature engineering, and preparing complex data sets for machine learning.
- Experience with data modeling, data integration, data transformation, and analytical workflows.
- Experience working directly with end users to discover requirements, validate solutions, and drive adoption.
- Knowledge of statistical analysis and modeling techniques such as regression, classification, or clustering.
- Secret clearance.
- High school diploma or GED.
Nice To Haves
- Experience with Palantir Foundry and Maven Smart System.
- Experience with React, Node.js, Express, FastAPI, MongoDB, Docker, or AWS.
- Experience developing custom data-driven applications or user interfaces for data input and visualization.
- Experience with Agile methodologies.
- Experience developing real-time or event-driven applications.
- Ability to communicate technical information and recommendations to peers, engineers, and analytic customers.
- TS/SCI clearance.
- Bachelor's degree.
Responsibilities
- Guide a small team of analysts, developers, and data consumers.
- Lead the design, development, and deployment of predictive models for clients.
- Work with clients to understand their questions and challenges and architect data-driven solutions.
- Build models to predict future outcomes and advise clients on how to interpret and apply predictions.
- Work directly with end users to discover requirements, validate solutions, and drive adoption.
- Develop software or data applications using Python and SQL.
- Prepare complex data sets for machine learning, including data validation and feature engineering.
- Perform data modeling, integration, transformation, and analytical workflow development.
Benefits
- Health, life, and disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Education Level
High school or GED
