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Data Analyst Centreville, MI

Job in Centreville, St. Joseph County, Michigan, 49032, USA
Listing for: Robert Half
Full Time position
Listed on 2026-07-12
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Business Intelligence
Job Description & How to Apply Below
Position: Data Analyst Job in Centreville, MI | Robert Half
Location: Centreville

Data Analyst

We are looking for a Data Analyst to join a non-profit organization in a contract-to-permanent capacity. This position will focus on building and improving data integration processes that support reporting, analytics, and day-to-day business operations. The role is ideal for someone who can turn complex data needs into dependable technical solutions while helping maintain strong data quality, performance, and governance standards.

Responsibilities:

  • Develop and support data integration workflows that move information from internal systems, cloud environments, and external applications into centralized reporting platforms.
  • Create, refine, and maintain scalable data pipelines that deliver accurate and timely datasets for analytics, operational reporting, and business intelligence tools.
  • Investigate data inconsistencies, resolve processing issues, and establish validation checks to improve reliability and integrity across data assets.
  • Contribute to data warehouse and data lake efforts by shaping transformation rules, supporting data models, and improving overall processing performance.
  • Partner with stakeholders to understand reporting and analytical needs, then translate those needs into efficient and sustainable data solutions.
  • Prepare and maintain clear technical documentation covering data mappings, process logic, workflow design, and integration steps.
  • Enhance database and query performance while supporting scheduling, automation, and operational stability for recurring data jobs.
  • Provide dependable data support for visualization and reporting platforms such as Power BI, Tableau, and similar business intelligence tools.
  • Participate in data migration, application integration, and master data management initiatives as part of broader enterprise data projects.
  • Help uphold data governance, security, and retention standards across integration and reporting processes.
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