Data Scientist

Jobtailor; Aurora (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking an analytics-led professional to support demand forecasting, capacity planning, and inventory optimization in a fast-growing manufacturing environment. You will analyze sales, production, and supply chain data to identify trends and opportunities, partnering with leaders to improve forecast accuracy and operational efficiency.

You will build predictive models and dashboards, ensure data integrity across ERP systems, and drive insights for executive and cross-functional teams.

Qualifications

• 3–7 years of experience in analytics, BI, or data science (manufacturing or supply chain preferred).
• Experience supporting or integrating with ERP systems (Epicor, SAP, Oracle, or equivalent).
• Strong SQL and data analysis skills (Python, R, or similar).
• Experience building dashboards with Power BI or Tableau.
• Solid understanding of SIOP, MRP, and manufacturing operations processes.
• Excellent problem-solving and business acumen; able to link analytics to operational and financial impact.
• Strong communication and storytelling skills for executive and operational audiences.
• Analytical and detail-oriented; proactive in problem-solving.

Responsibilities

• Develop and maintain analytical models for demand forecasting, capacity planning, and inventory optimization.
• Analyze sales, production, and supply chain data to identify trends, risks, and opportunities.
• Partner with leaders to improve forecast accuracy, service levels, and operational efficiency.
• Build predictive and prescriptive models to support SIOP decision-making.
• Perform sensitivity analyses and scenario modeling for long-term planning.
• Develop algorithms and models for forward-looking supply-demand balance, lead times, and throughput.
• Lead analytics during ERP/MRP deployment and post-implementation phases.
• Ensure data accuracy and consistency across systems through IT/Operations collaboration.
• Support ERP data structures design for effective reporting and planning.
• Develop reporting frameworks and KPIs to leverage ERP data for real-time insights.
• Drive user adoption with dashboards and analytical tools aligned to business needs.
• Design and maintain dashboards (Power BI/Tableau) to track KPI metrics.
• Translate complex data into clear insights for leadership and cross-functional teams.
• Automate recurring data reports and build robust data pipelines for real-time visibility.
• Collaborate to ensure data quality and standardization across systems.
• Contribute to analytics infrastructure to support growth and digital transformation.
• Identify and drive process improvements in SIOP and related processes.
• Support strategic initiatives in production planning, material control, and procurement.
• Model performance scenarios with Finance and Operations to align demand and supply.
• Communicate findings effectively to technical and non-technical audiences.

Skills

SQL

Python

R

Power BI

Tableau

Forecasting

SIOP

MRP

Manufacturing operations

Data storytelling

Tools

Epicor ERP

SAP ERP

Oracle ERP

Power BI

Tableau

Job description

Responsibilities and Duties

• Develop and maintain analytical models that support demand forecasting, capacity planning, and inventory optimization.
• Analyze sales, production, and supply chain data to identify trends, risks, and opportunities.
• Partner with functional leaders to improve forecast accuracy, service levels, and operational efficiency.
• Build predictive and prescriptive models using advanced statistical, machine learning, or optimization techniques to support SIOP decision‑making.
• Perform sensitivity analyses and scenario modeling to support long‑term capacity and investment planning.
• Develop algorithms and models that provide forward‑looking insight into supply‑demand balance, lead times, and production throughput.
• Serve as a key analytics lead in the ERP/MRP system deployment and post‑implementation phases.
• Ensure data accuracy, integrity, and consistency across systems through close collaboration with IT, Operations, and Supply Chain teams.
• Support design and validation of ERP data structures (e.g., BOMs, routings, inventory hierarchies) for effective reporting and planning.
• Develop reporting frameworks and KPIs to leverage ERP data for real‑time operational insights.
• Drive user adoption by helping build intuitive dashboards and analytical tools that connect business needs with ERP capabilities.
• Design and maintain interactive dashboards and reports (Power BI, Tableau, or equivalent) to track KPIs such as forecast accuracy, lead times, inventory turns, and customer fill rates.
• Translate complex data into clear insights for executive leadership and cross‑functional teams.
• Automate recurring data reports and develop robust data pipelines for real‑time visibility.
• Partner with IT and Operations to ensure data quality, consistency, and standardization across all systems.
• Contribute to the development of a best‑in‑class analytics infrastructure to support the company’s growth and digital transformation.
• Identify and drive process improvement opportunities within SIOP and related business processes.
• Support strategic initiatives in production planning, material control, and procurement through analytical insights.
• Partner with Finance and Operations to model performance scenarios and improve alignment between demand and supply.
• Communicate findings effectively to both technical and non‑technical audiences.

Requirements

• 3–7 years of experience in analytics, business intelligence, or data science (manufacturing or supply chain preferred).
• Experience supporting or integrating with ERP systems (Epicor, SAP, Oracle, or equivalent).
• Strong proficiency in SQL and data analysis tools (Python, R, or similar).
• Experience building dashboards and data visualizations (Power BI, Tableau, or equivalent).
• Solid understanding of SIOP, MRP, and manufacturing operations processes.
• Excellent problem‑solving skills and business acumen; able to link analytics to operational and financial impact.
• Strong communication and storytelling skills, with the ability to present data to executive and operational audiences.
• Analytical and detail‑oriented thinker.
• Curious, self‑driven, and proactive in problem‑solving.
• Comfortable working with ambiguity in a fast‑growing manufacturing environment.
• Collaborative mindset with cross‑functional communication strength.
• Passion for data accuracy, process improvement, and continuous learning.
• Excitement about building systems, data models, and insights that scale with a growing business.

Core Competencies: Demonstrates expertise in developing analytical models for demand forecasting, capacity planning, and inventory optimization, while ensuring data accuracy and integrity across ERP systems. Proficient in building dashboards and visualizations to provide actionable insights for operational efficiency and strategic decision‑making.