Business Intelligence & Analytics Manager

Winchester Interconnect•Remote,

1d•$110,000 - $135,000

About The Position

The Business Intelligence & Analytics Manager will lead the development, and strategic utilization of Winchester's data and analytics environment. This role is responsible for transforming data into actionable business insights that drive decision-making across Supply Chain, Operations, Procurement, Engineering, Finance, and Executive Leadership. The position will own the Supply Chain Data Warehouse, analytics platforms, KPI development, and reporting infrastructure while proactively identifying opportunities related to cost reduction, inventory optimization, productivity, supplier performance, working capital, and supply chain risk. The successful candidate will combine technical data expertise with strong business acumen to uncover trends, solve complex problems, and support strategic initiatives.

Requirements

Bachelor's degree in Business, Analytics, Information Systems, Engineering, Supply Chain, Finance, or related field.
5-10 years of experience in analytics, business intelligence, data engineering, supply chain analytics, or related disciplines.
Advanced SQL skills and experience working with large-scale datasets.
Experience with Google BigQuery, Looker, Google Sheets, and modern analytics platforms.
Strong understanding of supply chain, manufacturing, procurement, inventory, or financial processes.
Experience performing data mining, exploratory analysis, and root cause investigations.
Ability to develop business cases and communicate recommendations to senior leadership.
Strong problem-solving, analytical, and communication skills.

Nice To Haves

Experience supporting manufacturing or industrial environments.
Experience with ERP systems including SAP, Epicor, QAD, Syspro, Syteline, Dynamics, or similar platforms.
Experience with predictive analytics, statistical modeling, or AI-enabled analytics tools.
Experience supporting supply chain transformation, digitalization, or data warehouse initiatives.

Responsibilities

Lead the development, governance, and scaling of the Supply Chain Data Warehouse, pipelines, and SQL-driven data models.
Ensure data accuracy across analytical systems while supporting ERP integrations, migrations, and master data initiatives.
Mine and analyze large, cross-functional datasets across supply chain, inventory, and finance to uncover operational risks.
Develop predictive and prescriptive analytics alongside executive dashboards to drive strategic decision-making.
Partner with Supply Chain, Finance, and IT leaders to define, standardize, and track key business performance metrics.
Model scenarios for inventory optimization, working capital, productivity improvements, and supplier performance.
Enhance supply chain traceability and operational efficiency through rigorous data analysis and executive reporting.
Translate complex structures into actionable recommendations and self-service BI tools to enable cross-functional stakeholders.