Data Analyst
Polaris Industries Inc
Contract Minneapolis , Minnesota, United States Posted 1 week ago
About Position
Data Analyst (Contract)
$0.00 / Hourly
Minneapolis , Minnesota, United States
Data Analyst
Contract Minneapolis , Minnesota, United States Posted 1 week ago
Skills
• Bachelor’s degree in Computer Science MIS or related field—or equivalent work experience • 3+ years of diverse data analytics experience preferred • Proficiency with Alteryx Power BI and Excel; experience with data engineering tools such as Snowflake or Databricks • Familiarity with coding languages like SQL Python or R • Ability to work through ambiguity define problems and implement measurable solutions • Strong communication skills with both technical and non-technical stakeholders • Excellent cross-functional leadership and collaboration abilities • Strong analytical critical thinking and problem-solving skillsDescription
The Parts, Garments, and Accessories (PG&A) Data Analyst is a highly collaborative role designed to empower teams with meaningful insights. This position supports three key functions: Consumer Insights, Advanced Analytics, and Business Performance Solutions.
Responsibilities
- • Drive automation through process consolidation, analytics, and systematic decision-making
- • Develop and maintain documentation including process flows, data mapping/lineage, and user guides
- • Identify gaps in reporting to reduce waste and enhance visibility into key business drivers
- • Lead and participate in structured problem-solving sessions with PG&A Analysts and cross-functional teams
- • Translate business requirements into data requirements to ensure analytic solutions meet customer needs
- • Improve Dealer Management System reporting using raw source data in Snowflake and enhance cleansing processes
- • Expand product quality reporting by integrating data from multiple sources to deliver clearer insights
- • Understand and connect data and processes across the larger Polaris ecosystem
- • Effectively communicate solutions across all organizational levels, from end-users to senior leadership
- • Use available data to support solutions across supply chain, marketing, finance, and other departments
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