Data Analyst - ML Insights & Visualization (TS/SCI)

Accenture Federal Services; Chantilly (VA); On-site; USD 103,000 - 196,000; Full time

Job summary

Accenture Federal Services is seeking a Data Analyst to manage data holdings, ensure standards, and perform in-depth analyses to support ML model development. The role emphasizes transforming data into actionable insights and creating visualizations for diverse audiences.

Required qualifications include data preparation, statistical analysis, and proficiency with Python, SQL, R, GIS, or Tableau. A TS/SCI level clearance or higher is required, with compensation disclosed for multiple states.

Qualifications

• Experience in preparing data, performing statistical analysis, and using tools/algorithms to gain insights from datasets.
• Proficiency in programming languages and libraries and tools such as Python, R, SQL, GIS, or Tableau.
• Demonstrated ability to develop visualizations that effectively communicate analytical results.

Responsibilities

• Maintain data holdings and ensure adherence to data standards.
• Perform quantitative analysis to extract meaningful insights from large datasets.
• Transform raw data into usable formats for analysis and visualization.
• Develop and deliver visualizations to aid in data understanding for both technical and non‑technical audiences.
• Conduct data‑driven analyses to propose strategies for improving ML model development.

Skills

Data preparation

Statistical analysis

Python

SQL

Data visualization

Tools

Python

R

SQL

Tableau

GIS

Job description

Accenture Federal Services is seeking a Data Analyst to manage data holdings, ensure standards, and perform in-depth analyses to support ML model development. The role emphasizes transforming data into actionable insights and creating visualizations for diverse audiences.

Required qualifications include data preparation, statistical analysis, and proficiency with Python, SQL, R, GIS, or Tableau. A TS/SCI level clearance or higher is required, with compensation disclosed for multiple states.