Sr Data Analyst

Infotrend

Washington (District of Columbia)

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

Infotrend in Washington, DC is seeking a Sr Data Analyst to extract, validate, and analyze large federal datasets in a highly secure environment. This onsite role requires strong data processing and visualization capabilities.

You will work with SQL, Python or R, Databricks, and Tableau to build reliable reports, ETL/ELT workflows, and AI/ML-enabled models for client-driven insights.

Candidates must hold U.S. Citizenship and be able to obtain a Public Trust clearance.

Qualifications

  • Expertise in Python and/or R, SQL, and Databricks or similar software.
  • Ability to write queries to extract information from complex data structures.
  • Experience with BI platforms such as Tableau and ETL/ELT workflows.
  • U.S. Citizenship and ability to obtain Public Trust; willingness to work onsite in Washington, DC.

Responsibilities

  • Work with large federal datasets to develop reports, analyses, and models.
  • Extract data from IT systems using SQL and other languages.
  • Manage, review, validate, and secure data ingestion for a secure environment.
  • Create clean datasets for reporting and AI/ML modeling.
  • Develop and maintain ETL/ELT workflows.
  • Build visualizations and tools to enable data interaction.

Skills

Python
R
SQL
AI/ML modeling
ETL/ELT
Data visualization

Tools

Databricks
Tableau

Job description

Infotrend is hiring a Sr Data Analyst for an onsite role in Washington, DC to extract, validate, and analyze large federal datasets in a highly secure environment.

Responsibilities
  • Work with large datasets and multiple data types (customer, operational, transactional) in federal government enterprise systems to develop, maintain, and improve reports, analyses, and models
  • Extract data from IT systems using SQL and other programming languages
  • Manage, review, validate, and secure data ingestion processes to support accurate, complete, timely, and controlled transfer of data into a highly secure government data environment
  • Create clean, structured datasets for reporting, analyses, studies, and both AI/ML and non-AI/ML modeling initiatives
  • Develop and maintain ETL/ELT workflows for structured and unstructured data
  • Conduct qualitative and quantitative research using client data, including hypothesis formulation, testing, and clear results presentation
  • Apply advanced statistical techniques to identify and measure trends, anomalies, and other meaningful insights
  • Build visualizations and tools that enable users to interact with data
Requirements
  • Expertise in Python and/or R, SQL, and Databricks or similar software
  • Ability to understand complex data structures quickly and write queries to extract required information
  • Ability to build simple and complex analytical, statistical, AI/ML, or other models from client data to meet quantitative objectives
  • Experience integrating large datasets and ETL workflows with Business Intelligence (BI) platforms such as Tableau, including preparing, optimizing, and exposing data for visualization, analytics, and reporting
  • Experience developing and managing data connections between Databricks, SQL-based data sources, Python workflows, and Tableau, ensuring reliable, performant, and scalable delivery for dashboards and automated reporting
  • Ability to understand operational details underlying data in enterprise systems
  • Ability to quickly understand client business requirements using methods such as interviews, document analysis, and self-directed research
  • Analytical mindset with the ability to investigate root causes
  • Ability to engage in multiple initiatives and prioritize appropriately
  • Ability to gather and interpret large volumes of data, identify what is relevant versus superfluous using analytical and statistical techniques
  • Excellent verbal and written communication skills and the ability to interact professionally
  • Ability to obtain and maintain a Public Trust Security Clearance
  • U.S. Citizenship
Technologies
  • Python
  • R
  • SQL
  • Databricks
  • Tableau
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