LMI is seeking an Advanced Analytics Team Lead to support an Intelligence Community client by modernizing data pipelines and data warehouses, and delivering business analytics support through machine learning, statistical analysis, causal analysis, and modeling and simulation.
Requirements
- Hands-on experience developing with Python and SQL for data pipelines, data integration, and analytics.
- Proficiency in Python and SQL is required.
- Strong working knowledge of relational databases; preferred experience includes database optimization, schema design (e.g., star/snowflake), and linking analytic/visualization products to database connections.
- Experience with ETL/ELT processes, pipeline development, and data integration methods.
- Familiarity with data science libraries in Python.
- Experience building data visualizations, dashboards, and lightweight applications to communicate findings and drive business impact.
- Experience displaying analytical results using platforms such as Tableau, Streamlit, Qlik, Power BI, RShiny, Plotly, or D3.js. Tableau and Streamlit preferred.
Responsibilities
- Lead and collaborate with a team of data engineers, data scientists, data analysts, and business/functional SMEs to understand processes, define analytical requirements, and communicate results.
- Modernize and maintain data pipelines, data warehouses, and related infrastructure to ensure scalable, reliable, and efficient operations.
- Frame and scale data problems; integrate, consolidate, and analyze complex datasets for business analytics.
- Build and validate models using machine learning, simulation, causal, rule-based, and statistical methods.
- Transform data into visualizations, dashboards, and analytic narratives that support storytelling and decision-making.
- Provide timely analysis and reporting in a fast-paced, client-focused environment.
- Contribute to the organization’s data engineering and advanced analytics strategy, roadmap, and data governance practices.
Other
- Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required.
- 5-10 years of relevant experience, with at least 2 years leading data engineering or data science teams as a technical lead or task lead.
- Superior communication skills, both oral and written, with the ability to convey complex data engineering and data science concepts to non-technical stakeholders.
- Demonstrated ability to mentor and develop junior team members across both DE and DS disciplines.
- This position requires an active TS/SCI security clearance with polygraph.
