District Partners LLC
Data Visualization Analyst (SME)
District Partners is exclusively representing a consulting group engaged in a major federal modernization program. The team is hiring a
Senior Data Visualization Analyst (SME)
to drive analytics and BI solutions. Hybrid:
3 days onsite / 2 days remote .
Clearance Requirement
U.S. Citizenship required with an
active Public Trust clearance or higher .
Responsibilities Collect, clean, and analyze large datasets from varied sources. Perform statistical and exploratory analysis to detect trends and anomalies. Build dashboards and reports with Tableau, Power BI, or Qlik. Conduct advanced analytics: clustering, text mining, pattern recognition, classification, entity resolution. Develop scripts for recurring reporting and AI/ML support. Communicate insights to technical and non-technical stakeholders. Monitor data quality and enforce governance. Technology and Qualification Requirements
12+ years (BS) or equivalent (20+ AS, 9+ MS, 7+ PhD). Leadership in BI/data visualization. Advanced SQL for relational DBs. BI tools: Tableau, Power BI, Qlik. Python (Pandas, NumPy, Scikit-learn). R for statistical analysis and visualization. Preferred
Machine learning development workflows. Statistical methods: regression, clustering, hypothesis testing. Cloud platforms: AWS Redshift, Google BigQuery, Databricks. ETL/warehousing expertise. Agile development environment.
District Partners is exclusively representing a consulting group engaged in a major federal modernization program. The team is hiring a
Senior Data Visualization Analyst (SME)
to drive analytics and BI solutions. Hybrid:
3 days onsite / 2 days remote .
Clearance Requirement
U.S. Citizenship required with an
active Public Trust clearance or higher .
Responsibilities Collect, clean, and analyze large datasets from varied sources. Perform statistical and exploratory analysis to detect trends and anomalies. Build dashboards and reports with Tableau, Power BI, or Qlik. Conduct advanced analytics: clustering, text mining, pattern recognition, classification, entity resolution. Develop scripts for recurring reporting and AI/ML support. Communicate insights to technical and non-technical stakeholders. Monitor data quality and enforce governance. Technology and Qualification Requirements
12+ years (BS) or equivalent (20+ AS, 9+ MS, 7+ PhD). Leadership in BI/data visualization. Advanced SQL for relational DBs. BI tools: Tableau, Power BI, Qlik. Python (Pandas, NumPy, Scikit-learn). R for statistical analysis and visualization. Preferred
Machine learning development workflows. Statistical methods: regression, clustering, hypothesis testing. Cloud platforms: AWS Redshift, Google BigQuery, Databricks. ETL/warehousing expertise. Agile development environment.