About this role
This position will partner with cross-functional teams to extract, model, and visualize data from ERP, CRM, and external macroeconomic sources. Using Python, Snowflake, and Power BI, the role will develop predictive and segmentation models, deliver actionable business analytics, create dashboards and KPIs, identify trends and performance drivers, and translate complex data into insights that improve forecasting, resource allocation, operational efficiency, and bottom-line results. The position will also support data-governance initiatives to ensure consistent, reliable, and trusted information across the organization.
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Engineering, or related field.
- 5+ years of experience, or equivalent education , in data science, analytics, or business analysis in a manufacturing or industrial environment (preferred).
- Proficiency in Python, SQL, and modern analytics libraries for machine learning and statistical modeling.
- Demonstrated ability to build models that drive revenue growth, cost reduction, and bottom‑line improvement.
- Excellent communication, stakeholder management, and collaborative teamwork skills.
- Experience with process innovation, change management, and continuous improvement methodologies.
- Action‑oriented mindset with strong problem‑solving abilities and business acumen.
Preferred Qualifications
- Master’s/Ph.D. degree in Data Science, Statistics, Computer Science, Economics, Engineering, or related field.
- Strong experience with Snowflake for data warehousing, integration, and analytics.
- Expertise in Power BI for data visualization, dashboard creation, and reporting.
- Hands‑on experience with ERP and CRM systems and large, multi‑dimensional data sets.