Data Analyst, Analytics & Insights (Remote)

StrykerPortage, MI
Remote

About The Position

As a Data Analyst, Analytics & Insights, you will be responsible for delivering analytics, reporting, and data visualization solutions that drive data-informed decision making. Working under guidance, this role translates business needs into insights by analyzing data and building Power BI dashboards using sources such as SAP, Salesforce/ServiceMax, SQL Server, and Databricks. In this role, you will partner with cross-functional stakeholders, gather requirements and support data governance, documentation, and troubleshooting to ensure accurate, reliable insights—requiring strong analytical thinking, attention to detail, and collaboration.

Requirements

  • Bachelor’s degree in Data Analytics, Business Analytics, Data Science, Computer Science, or a related field
  • Experience with PowerBI or Tableau
  • Experience with SQL

Nice To Haves

  • Experience with Excel
  • Experience in at least one programming language central to data analytics (e.g., Python, R, DAX, M)
  • Experience with data transformation and cleansing concepts as well as basic database structures and data modeling concepts

Responsibilities

  • Build and maintain relationships with users and business leaders
  • Gather and document business requirements in partnership with stakeholders
  • Translate business questions into analytical approaches and reporting solutions
  • Participate in presentations and communications with business stakeholders
  • Query and analyze data using SQL or other analytical programming languages to support reporting and analytics needs
  • Develop and maintain dashboards and reports using approved business intelligence tools
  • Perform data and process analysis to support ad-hoc business questions and requests
  • Triage and resolve reporting issues, including data accuracy concerns
  • Maintain clear documentation of reports, datasets, and analytic processes
  • Support adherence to data governance practices including documentation of data definitions, sources, and calculations
  • Collaborate with the Data Engineering team to align on architecture and data sourcing
  • Assist with training and education of users on reporting solutions to promote effective report usage
  • Contribute to team development by suggesting improvements to tools, workflows, and analytics capabilities
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