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Data Analyst - Integration

Strategic Staffing SolutionsCharlotte, NC🇺🇸United StatesPosted Oct 21, 2026

Why This Role Stands Out

This remote role offers a fantastic opportunity to elevate your career by driving impactful data integration strategies while earning a highly competitive hourly rate of $63–$65. You will thrive in this position if you are an analytical professional who enjoys translating complex data into actionable business insights within a collaborative, fast-paced environment. Apply today to leverage your technical expertise and grow your professional footprint with this forward-thinking team.

Quick Overview

Salary
$63 - $65/hr
Seniority
Mid Senior
Work mode
Remote
Location
Charlotte, NC, United States
Posted
Yesterday
SQLApache SparkTableauApachePythonPower BIJiraAgileData Analysis

Job Description

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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