Winchester Interconnect Logo

Winchester Interconnect

Business Intelligence & Analytics Manager

Posted 4 Days Ago
Remote
Hiring Remotely in USA
110K-135K Annually
Senior level
Remote
Hiring Remotely in USA
110K-135K Annually
Senior level
Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.
The summary above was generated by AI
Job Summary & Responsibilities

At Winchester Interconnect, we always do the right thing, the right way.

Winchester Interconnect is committed to inspiring the most innovative teams. We foster a dynamic, inclusive environment that thrives on collaboration and continuous growth. We hire exceptional people, celebrate wins, empower employee growth, and provide opportunities to thrive. Winchester is where potential transforms into purpose, and every team member plays a vital role in shaping our shared success.


Position Summary: 

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.


Qualifications & 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.
  • 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.

Our core values - Accountability, Collaboration, and Empowerment (ACE) - are the foundation of how we operate and drive success. You will take ownership of your contributions, collaborate with a team that gets stuff done, and be empowered to innovate and pursue bold initiatives that drive our business forward.  


Are You Our Next ACE?

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

Systems You’ll Use:

  • Google Enterprise
  • Looker
  • BigQuery
  • SQL

Pay Transparency: 

Winchester Interconnect Corporation is committed to pay transparency. The pay range for this position is $110,000 - $135,000 (DOE) per year, plus incentive compensation. Exact salary will be contingent upon your experience, education, skills, and any other factors Winchester Interconnect Corporation considers relevant to the hiring decision. 


For a sneak peek into some of our benefits and to learn more about our career opportunities, click here https://www.winconn.com/jobs/.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. In addition to federal law requirements, Winchester Interconnect complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Winchester Interconnect expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

***Candidate Inquiries Only-No Third-Parties***

Similar Jobs

An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
119K-180K Annually
Senior level
119K-180K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.
Top Skills: ClaudeDatabricksDbtPythonSQLStreamlitTableau
19 Days Ago
Remote
United States
83K-138K Annually
Senior level
83K-138K Annually
Senior level
Retail • Sports
The Product Manager II leads ecommerce analytics and business intelligence, focusing on insights and strategy to enhance conversion, engagement, and revenue.
Top Skills: Adobe Customer Journey AnalyticsAdobe Experience PlatformSQL
25 Days Ago
Remote
3 Locations
120K-150K Annually
Senior level
120K-150K Annually
Senior level
Hardware • Security • Software • Cybersecurity
The Product Manager will define BI strategy, manage dashboards, analyze operational data, interface with executives, and collaborate across teams to drive insights and efficiency for CPS applications.
Top Skills: Cloud InfrastructureKubernetesLookerPower BITableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account