Data-Driven Business Systems Analyst | SQL, Python, AI

TEKsystems

Charlotte (NC)

Hybrid

USD 96,000 - 103,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental & vision
401(k) Retirement Plan
Life Insurance
Disability insurance
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO)

Job summary

TEKsystems seeks a highly technical Business Systems Analyst in Charlotte, NC hybrid. The role bridges business and technical teams, focusing on data quality, SQL, Python, and enterprise data environments.

You will support production issues, validate new features, and drive process improvements using modern data platforms and AI-assisted tooling. Ideal candidates bring 5+ years of SQL, Python, and data warehousing experience, strong analytical skills, and the ability to work across Agile teams.

Qualifications

  • 5+ years of advanced SQL experience.
  • Strong working knowledge of Python.
  • Experience with data warehousing concepts and environments.
  • Experience analyzing large data sets in enterprise-scale systems.

Responsibilities

  • Act as liaison between business stakeholders and technical teams.
  • Translate business needs into technical requirements and solutions.
  • Ensure solutions align with user needs and organizational goals.
  • Participate in feature reviews and technical evaluations.
  • Investigate and resolve data-related inquiries and data quality issues.
  • Research and document data lineage and data mappings.

Skills

SQL
Python
Data analysis
Data quality
Data warehousing
Agile
AI tools

Tools

Snowflake
UNIX Shell Scripting

Job description

TEKsystems seeks a highly technical Business Systems Analyst in Charlotte, NC hybrid. The role bridges business and technical teams, focusing on data quality, SQL, Python, and enterprise data environments.

You will support production issues, validate new features, and drive process improvements using modern data platforms and AI-assisted tooling. Ideal candidates bring 5+ years of SQL, Python, and data warehousing experience, strong analytical skills, and the ability to work across Agile teams.

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