Language

Data Analyst

Data Modeling
Boomi
Microsoft Power Automate
T-SQL
Version Control
Gather Requirements
Apache Airflow
Pull Request
Git
Scripting
Python
Data Pipelines
Big Data
Power Bi
Datasets
Data Science
Data Integration
Teradata
Hadoop
Oracle
Database Modeling
MS SQL Server
Database
Stored Procedures
SQL
Mysql
Description:

Magnit Global is a leading, global professional services and technology company and a certified “Great Place to Work”. We have been a leader in contingent workforce management since 1991 and work with leading Fortune 500 companies and other large organizations across numerous verticals including consumer electronics, research and development, pharmaceuticals, health services, and many more! 

We're glad to continue a relationship with you and happy to assist in the next steps of your career once more! 

This contract opportunity is with LinkedIn. 

About the Role

We are seeking a Data Analyst with deep expertise in SQL Server to design, build, and maintain robust data solutions that support critical business operations. This role focuses on developing tables, views, and stored procedures; creating and maintaining Power BI reports; and building pipelines and automations in Azure Data Factory. The ideal candidate will combine strong technical skills with analytical thinking to deliver scalable, data‑driven solutions.
 

What You Will Do

  • Design, develop, and maintain SQL Server objects including tables, views, stored procedures, and functions.
  • Optimize queries and ensure database performance, integrity, and security.
  • Build and maintain Power BI dashboards and reports to support evolving business needs.
  • Develop and manage data pipelines and workflows in Azure Data Factory for efficient data movement and transformation.
  • Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.
  • Monitor and troubleshoot data processes, ensuring reliability and accuracy across systems.
  • Partner with cross‑functional teams on strategic projects and operational initiatives.
     

What You Will Need

  • BS/MS in a quantitative field (Statistics, Data Science, Mathematics, Economics, Computer Science, or related), or equivalent practical experience.
  • 6+ years of experience with SQL (MS SQL Server, Teradata, Oracle, MySQL), with a preference for Microsoft SQL Server (T‑SQL) including stored procedures, views, functions, indexing, and query optimization.
  • 2+ years of experience with data integration platforms (Azure Data Factory, SSIS, Boomi, etc.), with a preference for Azure Data Factory (pipelines, datasets, data flows).
  • 2+ years of experience building and maintaining Power BI dashboards/reports (data modeling, DAX/Power Query, refresh strategies, governance).
  • 2+ years of experience working in or supporting operations‑based workforce teams, with strong understanding of operational processes and data needs.
  • Experience using Git for version control, including common workflows such as branching, committing, pushing, and submitting pull requests for code review and merge.
  • Strong analytical/problem‑solving skills and the ability to communicate insights clearly to both technical and non‑technical audiences.
  • Exposure to Power Automate for workflow automation.
  • Familiarity with data lake platforms (e.g., Hadoop) and orchestration tools like Apache Airflow.
  • Experience with big data technologies (e.g., Spark) and scripting languages (Python, R).
  • Knowledge of workforce planning, scenario analysis, and optimization techniques.
  • Strong communication skills to present findings to both technical and non‑technical audiences.
     

 

This is the pay range that Magnit reasonably expects to pay for this position: $51.96/hour - $69.28/hour

Benefits: Medical, Dental, Vision, 401K

QUALIFICATION/ LICENSURE :
  • Work Authorization : Green Card, US Citizen, Other valid work visa
  • Preferred years of experience : 6+ Years
  • Travel Required : No travel required
  • Shift timings: Not specified
Job Location Omaha, Nebraska
Pay USD 51.96 - USD 69.28 Per Hour
Contract Duration 12 month(s)