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Parts & Service Data & Analytics Manager - Orlando, FL

Stellantis
Posted 24 days ago, valid for 15 days
Location

Winter Park, FL 32789, US

Salary

Competitive

Contract type

Full Time

Life Insurance
Disability Insurance
Tuition Reimbursement

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Sonic Summary

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  • Mopar is looking for a detail-oriented Data & Analytics Specialist to support the regional field operations team.
  • The ideal candidate should have a Bachelor's degree in Data Analytics or related field and at least 2 years of experience in data analysis or business intelligence.
  • Key responsibilities include managing data systems, generating insights, and developing presentations for stakeholders.
  • The position offers a salary range of $98,600 to $147,800, depending on experience and location.
  • Candidates should possess strong analytical skills and proficiency in tools like Excel and PowerPoint.
Mopar is seeking a detail-oriented and analytical Data & Analytics Specialist to support the regional field operations team. This role serves as the central source of truth for data, reporting, and insights across the region. The ideal candidate will manage data systems, build impactful PowerPoint decks, and provide actionable intelligence to field staff, Area Managers, and HQ stakeholders. This position plays a critical role in driving performance through data-driven decision-making and effective communication.
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Key Responsibilities:
  • Data Management & Reporting: Own and maintain regional data sets, dashboards, and reporting tools to ensure accuracy, consistency, and accessibility.​
  • Insight Generation: Analyze performance metrics and trends to provide actionable insights that support strategic initiatives and operational improvements.​
  • Presentation Development: Build compelling PowerPoint decks for leadership reviews, field meetings, and HQ updates, translating complex data into clear visual narratives.​
  • Stakeholder Collaboration: Serve as the primary data liaison between regional field staff, Area Managers, and HQ analytics teams.​
  • Process Improvement: Identify opportunities to streamline reporting processes and improve data workflows across the region.​
  • Performance Monitoring: Track KPIs across retail, wholesale, and operational metrics, ensuring timely and accurate reporting to support business decisions.​
  • Tool & System Support: Support the adoption and usage of analytics platforms and reporting tools within the field team.
Qualifications
Basic Qualifications:
  • Bachelor’s degree in Data Analytics, Business Intelligence, Information Systems, or related field
  • 2+ years of experience in data analysis, reporting, or business intelligence (automotive industry preferred)
  • Advanced proficiency in Excel, PowerPoint, and data visualization tools (e.g., Power BI, Tableau)
  • Strong analytical thinking and problem-solving skills
  • Excellent communication and presentation abilities
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment
Preferred Qualifications:
  • Experience working with field operations or regional teams
  • Familiarity with Mopar systems and performance metrics
  • Knowledge of SQL, Python, or other data manipulation tools

Salaried Employee Benefits (US, Non-Represented)

  • Health & Wellbeing: Comprehensive coverage encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability.
  • Compensation, Savings, and Retirement: Annual incentives, 401(k) with match, and student loan refinancing.
  • Time Away from Work: Paid time includes company holidays, vacation, and Float/Wellbeing Days.
  • Family Benefits: 12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances.
  • Professional Growth: Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups.
  • Company Car & More: Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends.

Salary: $98,600 to $147,800, pay will depend on several factors including experience and location of position.




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