Data Analyst

About the Role
The Data Analyst supports Operations across both Manufacturing and Logistics by transforming data into meaningful insights that drive informed decision-making. This role requires strong analytical capabilities, proficiency in statistical modeling, and expertise in business intelligence tools to help optimize operational performance. The Data Analyst collaborates with cross-functional teams to identify trends, evaluate operational metrics, and develop actionable insights that support strategic initiatives and improve business outcomes.

Key Responsibilities:

• Gathering business data and reporting requirements from stakeholders, business owners, and users from the Manufacturing domain for metrics used to monitor business performance.
• Making large and/or complex data more accessible, understandable, and usable.
• Analyzing complex data sets to identify patterns, trends, and insights for all operational teams.
• Transforming, improving, and integrating data, depending on the business requirements.
• Developing and maintaining robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.
• Reporting findings and recommendations to leadership, translating complex analyses into clear, actionable insights.
• Collaborating with various departments to define key performance indicators (KPIs) and metrics to automate reporting tools & techniques.
• Conducting advanced statistical analyses and modeling to support business forecasting and scenario planning.
• Ensuring data integrity and accuracy by implementing best practices in data management and governance.
• Visualizing performance data in standard live dashboards formats.
• Staying up to date with industry trends and best practices in data analytics and visualization tools.
• Connecting to various systems and a data warehouse to deliver data in a useful and appealing way to users.
• Accessing technical capabilities of the data framework to deliver data from a latency and accessibility perspective (laptop, mobile, TVs, etc.) and providing technical solutions as needed.

Skills:

• 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.

Minimum Qualifications:

• 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.

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:
A comprehensive and competitive benefits package is offered, 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.

Equal Opportunity:
Commitment to diversity is integral to the workplace. All qualified applicants are considered without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable laws and regulations.

Accessibility:
Commitment to providing reasonable accommodations for qualified individuals with disabilities is emphasized.

Candidate Data Privacy:
By submitting an application, the candidate agrees that personal data will be processed in accordance with the Candidate Privacy Notice.