About the Role / About the Job
We are seeking a highly skilled Data Analyst to support Operations in both Manufacturing & logistics organizations. In this role, you will leverage your expertise in data analysis, statistical modeling, and business intelligence to drive data-informed decision-making across the organization. You will collaborate with cross-functional teams to identify trends and develop actionable insights that contribute to optimizing business performance and providing valuable insights to leadership in support of strategic initiatives.
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You Will:
- Gather business data and reporting requirements from stakeholders, business owners, and users from the Manufacturing domain for metrics used to monitor business performance.
- Make large and/or complex data more accessible, understandable, and usable.
- Analyze complex data sets to identify patterns, trends, and insights for all operational teams.
- Transform, improve, and integrate data depending on business requirements.
- Develop and maintain robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.
- Report findings and recommendations to leadership, translating complex analyses into clear, actionable insights.
- Collaborate with various departments to define key performance indicators (KPIs) and metrics to automate reporting tools & techniques.
- Conduct advanced statistical analyses and modeling to support business forecasting and scenario planning.
- Ensure data integrity and accuracy by implementing best practices in data management and governance.
- Visualize performance data in standard live dashboards formats.
- Stay up to date with industry trends and best practices in data analytics and visualization tools.
- Connect to various systems and a data warehouse to deliver the data in a useful and appealing way to users.
- Access technical capabilities of the data framework to deliver data from a latency and accessibility perspective (laptop, mobile, TVs, etc.) and provide technical solutions as needed.
You Bring:
- Bachelor’s degree in engineering, Supply Chain, Finance, Data Science, or equivalent experience in a related field.
- 3-5+ years of experience in data analytics, reporting, visualization, Python, etc.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and identify actionable insights.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Demonstrated project management abilities, including the ability to prioritize tasks, manage timelines, and allocate resources effectively.
- Ability to deep-dive data from both a top-down and bottom-up approach.
- Ability to think strategically and communicate strategies effectively.
- Experience in the Automotive Industry (OEM or Tier 1 Suppliers).
- Experience working in a dynamic/start-up environment is a plus.
- Flexibility in the work schedule is required (to include evenings and weekends, as needed).
- Advanced skills in Python or other general-purpose programming language, Microsoft Office advanced user. Working knowledge of Smartsheet, SAP, JIRA, Tableau, and any costing software.
Preferred Qualifications:
- Advanced degree in a relevant field.
- Experience with complex analysis and data analytics in a Manufacturing context.
- In-depth understanding of automotive interior market dynamics and performance reporting mechanisms.
- Competency with SQL, Tableau, and other data visualization software.
- Ability to manage multiple priorities and make strategic decisions.
- Creative problem-solver with calculated risk-taking ability.
- Experience in supplier relationship management and dispute resolution.
- Knowledge of automotive industry trends and emerging technologies in interior components.
- Cost engineering experience.
- Start-up working experience is a plus.
Compensation & Benefits:
We offer a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employees accrue up to 160 hours paid time off. Eligible employees may also participate in the equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.
