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Senior Data Analyst

OneMagnify

Salary not specified
Aug 22, 2025
Dearborn, MI, USA
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OneMagnify is looking to solve business problems by driving business insights through analytical and predictive data models to provide valuable customer insights and drive higher levels of sales conversion.

Requirements

  • Strong proficiency in tools such as GCP/BigQuery, SQL, Alteryx, Power BI, Tableau, and Qlik to query, transform, visualize, and present complex data sets.
  • Solid understanding of at least one core analytics specialty.
  • Familiarity with the automotive service and parts industry (preferred).
  • Experience with data manipulation, quality assurance, statistical analysis, and reporting.
  • Proficiency in statistical analysis and data modeling.
  • Experience with data visualization tools such as Power BI, Qlik, or Tableau.
  • Familiarity with cloud-based data platforms such as Google Cloud Platform (GCP)

Responsibilities

  • Leverage strong data wrangling skills to query, join, and manipulate large datasets, create calculated variables, and automate data processes.
  • Analyze business and marketing program performance, including metrics such as response rates, sales lift, incremental revenue, net profit, and customer profiling.
  • Develop and support business and sales performance reporting (BPR), delivering actionable insights to drive strategic decision-making.
  • Build and maintain dashboards and data visualizations using tools such as Power BI, Qlik, Alteryx, and BigQuery, preferably within the Google Cloud Platform (GCP) ecosystem.
  • Create clear and impactful presentation materials, including PowerPoint decks with visualizations and insights for business stakeholders.
  • Collaborate directly with clients to understand business needs, present key findings, and participate in team and stakeholder meetings.
  • Apply familiarity with the automotive service and parts industry to support targeted analytics initiatives.

Other

  • Minimum of 5 years of experience in an analytical role.
  • Bachelor’s or advanced degree in Statistics, Mathematics, Data Science, Econometrics, Computer Science, Analytics, Finance, or a related field.
  • Excellent problem-solving skills with a passion for uncovering insights from data.
  • Skilled in interpersonal communication, able to collaborate successfully with partners from multiple teams and communicate results to customers at all levels.
  • Ability to work independently and cross-functionally in a dynamic environment.