Data Analyst – Integration

Strategic Staffing Solutions • Bachelor's Degree • Python • SQL • Tableau • Power BI • 2 days ago
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Salary
≈ $71k – $158k per year (Estimated)
Location
Remote (United States)
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 15, 2026. Strategic Staffing Solutions scores B on the Alion truth index.

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Strategic Staffing Solutions

Strategic Staffing Solutions (S3) is an IT consulting and business services firm headquartered in Detroit, Michigan, providing staff augmentation, managed services, total workforce management programs and direct-hire recruiting. Founded in 1990 by Cynthia Pasky, it deploys more than 4,000 consultants for Fortune 500 clients in financial services, energy and utilities, healthcare and insurance, with hubs in Buenos Aires, San Jose, London, Vilnius, Riga, Warsaw, Manila and Singapore. Its job board lists contract and permanent roles at client sites, including AI architects and engineers, business and data analysts, project managers, service desk analysts and recruiters.
strategicstaff.com • HQ: Detroit, United States • IT Staffing & Staff Augmentation • IT Consulting & Digital Transformation • Recruiting & Staffing • 5000+ employees • Est. 1990

Data Analyst - Integration

Charlotte NC - FULLY REMOTE but will have quarterly in person planning sessions

24 months

W2 Rate - $63-65/hr - NO 1099 NO CTC NO THIRD PARTY

Requirements

  • Bachelor's degree in Computer Science or other related degree.
  • Understanding of data tools and programming languages such as R, Python, Power BI, Tableau, or Apache Spark.
  • Successfully completed college-level courses, or equivalent training, within databases and searching in them.
  • Highly skilled in querying and reporting information from databases using SQL and other querying languages.
  • Demonstrates analytical thinking and the ability to translate numbers and trends into concrete business actions.
  • Ability to use statistical techniques (regression, descriptive analytics) to identify trends, patterns, and anomalies.
  • Experience developing and maintaining conceptual, logical, and physical data models for databases, data warehouses, and data marts; gathering requirements from business and IT stakeholders and documenting data architecture.
  • Hands-on experience with data mapping, data integration, and SQL-based data analysis, ensuring business rules are correctly implemented and data flows accurately between systems.
  • Experience with data quality and metadata management, including data cleansing, deduplication, identifying redundant data, and documenting metadata down to the column level.

Nice to Have

  • Experience with Agile and JIRA.
  • Experience with Learning Management Systems.
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