Sr. Data Analyst - Business Operations (Visa sponsorship not available)
- Analyze complex data sets to identify patterns, trends, and insights for manufacturing and logistics teams.
- Present findings and recommendations to senior leadership, translating complex analyses into clear, actionable insights.
- Develop and maintain robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.
- Partner with Data Engineering and Enterprise Systems (MES, SAP, Ignition) teams to set up and streamline data pipelines.
- Document business and technical reporting methodology, best practices and related rules for generating reports to ensure results accurately represent the underlying data.
- Collaborate with various departments to define key performance indicators (KPIs) and metrics to measure success.
- Ensure data integrity and accuracy by implementing best practices in data management and governance.
- Stay current with industry trends and best practices in data analytics and visualization tools.
- Bachelor’s degree in engineering, Data Science or equivalent experience in a related field.
- 5+ years of experience in data analytics, reporting, visualization, etc. (Python experience is a plus)
- Advanced knowledge of Smartsheet, SQL, JIRA, and Tableau.
- 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 manufacturing Industry (Automotive OEM or Tier 1 Suppliers preferred).
- Experience working in a dynamic/start-up environment is a plus.
- Flexibility in work schedule is required (to include evenings and weekends, as needed)
- Advanced skills in Microsoft Excel, Word, and PowerPoint.
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