Senior Data Analytics & BI, Global Converse

The annual base salary for this position ranges from $ in our lowest geographic market to $ in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.

Converse is a place to explore potential, break barriers, and push the edges of what can be. We look for people who can grow, think, dream, and create—bringing skills and passion to a constantly evolving world.

The Data, Analytics & Intelligence (DAI) Team sits at the center of Converse’s data and analytics ecosystem, enabling Supply Chain/Logistics, Planning, Merchandising, Finance, and enterprise business partners to make more informed decisions through trusted data, advanced analytics, and scalable BI capabilities.

We are modernizing Converse’s Data Foundation while strengthening the analytical capabilities needed to move from reporting to decision-ready insights  team partners cross-functionally to improve data quality, align metrics and definitions, and deliver analytics solutions that help leaders understand performance, identify risks and opportunities, and act with greater speed and confidence.

The Senior, Data Analytics & BI, Global Converse is a Boston-based role responsible for delivering advanced analytics capabilities primarily supporting Supply Chain & Logistics, with additional partnership across Planning, Merchandising, Finance, and other enterprise functions.

This role blends business context, technical execution, and analytical expertise to develop forecasting, optimization, and scalable analytical products. The role will leverage SQL, Python, machine learning, and modern analytics platforms to solve complex business questions across the enterprise.

In addition to developing analytics products, this role helps advance data literacy and strengthen the data science community within Converse, raising the bar for how analytics, forecasting, and AI-enabled methods are applied across the organization.

• Develop, maintain, and evolve analytics products and capabilities that improve operational and strategic decision-making.
• Develop and evolve decision-ready dashboards, KPI frameworks, and self-service analytics products that enable Supply Chain & Logistics partners to monitor performance, investigate drivers, and take action.
• Access, analyze, and model Converse data using SQL, Python, and related analytical tools to generate actionable business insights.
• Translate complex or ambiguous business questions into structured, scalable analytics solutions that primarily support Supply Chain & Logistics, while also enabling Planning, Merchandising, Finance, and enterprise leadership needs.
• Build forward-looking analyses that identify trends, risks, opportunities, and potential business impacts across demand, inventory availability and productivity, order fulfillment, delivery performance, product, channel, and financial performance.
• Create reusable analytical workflows, models, and data products that improve speed, automation, consistency, and scalability of insight generation.
• Partner with business stakeholders to translate analytical outputs into clear, executive-ready recommendations that support growth, profitability, inventory productivity, and consumer outcomes.
• Improve data quality, accessibility, governance, and usability across the modern data stack, including the development and adoption of consistent KPI definitions and reusable semantic models.
• Contribute hands-on across querying, data transformation, feature engineering, statistical modeling, machine learning, and advanced analytics workflows.
• Advance data literacy and foster a stronger data science…