Job Requirements
Job Description
Data Analytics Consultant
Location: Remote (Onsite 20%) Washington DC
Required Clearance: Public Trust
Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.
U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.
Job Description:
The Data Analytics Consultant to help clients harness data to improve business performance and drive strategic outcomes. In this role, you will analyze large datasets, build dashboards, and translate insights into clear, actionable recommendations. You will collaborate with crossâfunctional teams to define requirements, develop data models, and deliver analytics solutions that support decisionâmaking. The ideal candidate brings strong problemâsolving abilities, excellent communication skills, and experience with modern analytics tools. This position offers opportunities to innovate, influence client strategy, and support continuous improvement across analytics practices.
Required Skills:
- 3–7 years of experience in analytics, BI, or consulting (adjust years based on level).
- Demonstrated success leading analytics projects from scoping to delivery and adoption.
- Strong command of data modeling, SQL, and visualization best practices.
- Experience advising stakeholders and influencing decisions with evidence-based insights.
- Data Visualization: Power BI, Tableau, Looker (design systems, DAX/LOD, performance tuning).
- Data Engineering (light): SQL (joins, window functions, CTEs), ETL/ELT workflows, data warehousing concepts.
- Analytics: Statistical analysis (regression, time-series, clustering), experiment design, forecasting, scenario modeling.
- Programming (preferred): Python (pandas, NumPy, scikit-learn), or R (tidyverse).
- Cloud & Data Platforms (preferred): Azure (Synapse, Fabric), AWS (Redshift, Athena), GCP (BigQuery), Snowflake, Databricks.
Travel: Up to 25%
Education Level:
Bachelor’s or Master’s in Data Analytics, Statistics, Computer Science, Information Systems, Economics, or related field.
