Data Analyst

Warren, Michigan

Tech Tammina
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Role: Data Analyst

Location: Warren, MI (Hybrid)
Duration: Long tern

Rate: Market

Key Responsibilities
  • Partner with business subject matter experts to gather and document analytical requirements
  • Prioritize and manage multiple deliverables based on business needs, timelines, and urgency
  • Design and implement analytics solutions that support decision-making and performance tracking
  • Analyze structured and unstructured data to uncover patterns, trends, and inconsistencies
  • Deliver insights through clear reporting and data visualization using Tableau and Power BI
  • Recommend process improvements and advanced analytics solutions to streamline workflows
  • Maintain data quality, security, and performance standards across all reporting systems
  • Develop dashboards, ad hoc reports, and executive-ready summaries of analytical findings
  • Collaborate with internal IT teams, business units, field support, and third-party vendors
  • Document procedures and maintain reporting standards for repeatable tasks and outputs
  • Stay current with evolving analytics tools, technologies, and best practices
Qualifications
  • Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
  • Minimum 5 years of experience in data analytics, business intelligence, or data-driven consulting
  • Experience supporting Sales and Marketing leadership in a dynamic, agile environment
  • Strong written and verbal communication skills, including the ability to present to executives
  • Proven ability to simplify complex problems and develop creative, data-driven solutions
  • Collaborative team player with the ability to influence and work across all organizational levels
Technical Proficiencies
  • Microsoft Office Suite (Excel, Word, PowerPoint)
  • Visual Basic for Applications (VBA)
  • Tableau and Power BI
  • Databricks, Python (Scripting), Jupyter, Spark, Hue
  • Oracle PL/SQL, Oracle DBMS, Hadoop DBMS
  • HTML, CSS, JavaScript
  • Strong experience navigating complex data environments and structures
Date Posted: 20 April 2025
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