Key skills
PySparkPythonSQLAIMachine LearningGenerative AIData EngineeringAnalyticsBIBusiness IntelligencePower BIDatabricksLeadership
About this role
Role Overview
- Support the design, development, testing, and maintenance of dashboards, reports, workflows, and data products.
- Build Power BI dashboards and reports to support acquisition, contract writing, workload, data quality, and leadership reporting needs.
- Support Power Platform development, including Power Apps and Power Automate workflows.
- Assist with Palantir Foundry development, including datasets, transformations, dashboards, applications, and analytical products.
- Work within Advana and Jupiter environments to access, explore, analyze, and prepare data.
- Use Databricks, SQL, Python, PySpark, or similar tools to clean, transform, validate, and prepare data for analytics and AI use cases.
- Support AI-enabled analytics capabilities, including automated insights, natural language querying, anomaly detection, trend analysis, and leadership summaries.
- Validate AI-generated insights against source data and business rules.
- Document data sources, transformation logic, assumptions, business rules, calculations, and known data limitations.
- Assist with data quality checks, data reconciliation, and issue identification.
- Support user testing, dashboard validation, prototype development, and stakeholder feedback sessions.
- Work with acquisition and contract writing subject matter experts to understand reporting needs and business context.
- Support recurring reporting, ad hoc analysis, and executive-level data requests.
- Collaborate with the lead engineer, business analysts, system owners, and client stakeholders to deliver timely and accurate analytics products.
Requirements
- 3+ years of experience in data analytics, business intelligence, data engineering, AI analytics, reporting, dashboard development and workflow automation.
- Experience with Power BI and data visualization.
- Experience using SQL and analytical tools such as Python, Jupiter notebooks, or similar analytical tools.
- Experience cleaning, transforming, validating, and reconciling data with ability to identify data quality issues and inconsistencies.
- Familiarity with AI, machine learning, generative AI, prompt engineering, or automated insight generation.
- Strong documentation skills.
- Ability to communicate analytical findings to non-technical stakeholders.
- Ability to work in a fast-paced environment and execute tasks with limited day-to-day oversight.
- Eligible to obtain a U.S. Government clearance.
Tech Stack
- PySpark
- Python
- SQL
Benefits
- Comprehensive benefits, including medical, dental, and vision coverage
- Flexible time off
- Professional development opportunities
- Company perks such as flex spending, wellness initiatives, etc.
- 401(K) matching