Drive Product & Business Insights

• Analyze customer and product behavior across our manufacturing service lines and eCommerce platform to identify opportunities for growth and operational improvement.
• Partner with Product Managers to understand customer journeys, product adoption, conversion funnels, and business performance.
• Proactively explore datasets to identify trends, patterns, anomalies, and business opportunities.
• Translate complex analytical findings into clear recommendations that support product strategy and business decisions.
• Help product teams understand the "why" behind performance metrics and customer behavior.

Build Analytics & Reporting Solutions

• Design, develop, and maintain dashboards and self-service reporting solutions using BI platforms such as DOMO, Looker, or Power BI.
• Define and maintain key product and business performance metrics to ensure consistent reporting across teams.
• Improve reporting quality by optimizing existing dashboards, retiring outdated reports, and simplifying data visualization.
• Deliver reliable, real-time insights that enable informed decision-making across the organization.

Partner with Data Engineering & Analytics Teams

• Work across Snowflake and enterprise data platforms to write efficient SQL queries and validate data quality.
• Partner with Data & Analytics teams to improve data models, metric definitions, and reporting capabilities.
• Ensure analytical outputs are accurate through data validation, reconciliation, and quality checks.
• Contribute to analytical documentation, governance standards, version control, and reproducible reporting practices.
• Support continuous improvements in data reliability and accessibility.

Collaborate Across Cross-Functional Teams

• Partner closely with Product, Engineering, Marketing, Sales, Operations, Finance, and Data teams to understand business needs and deliver meaningful insights.
• Manage multiple analytical requests while prioritizing work based on business value and stakeholder needs.
• Clearly communicate priorities, timelines, assumptions, and trade-offs with cross-functional stakeholders.
• Present insights and recommendations to both technical and non-technical audiences in a clear and compelling manner.
• Build trusted relationships across global teams to enable data-driven decision-making.

What It Takes:

Technical

• 5–7 years of experience in Product Analytics, Business Analytics, or Data Analytics supporting digital products, eCommerce, or B2B platforms.
• Strong SQL skills with experience querying large datasets in modern cloud data platforms such as Snowflake.
• Hands-on experience building dashboards and reports using DOMO, Google Looker, Power BI, or similar BI tools.
• Strong understanding of product metrics, customer behavior analysis, conversion funnels, and business performance reporting.
• Experience working with large, complex datasets and ensuring data accuracy through validation and reconciliation.
• Familiarity with data modeling concepts and working alongside Data Engineering teams.
• Exposure to web and product analytics platforms such as Google Analytics 4, Amplitude, Mixpanel, Adobe Analytics, or similar tools.
• Working knowledge of statistical analysis, experimentation, A/B testing, and data visualization best practices.
• Experience with Python or R for advanced analytical work is an advantage.

Collaboration & Communication

• Experience partnering with cross-functional teams in Product, Engineering, Marketing, Sales, Finance, and Operations.
• Strong communication skills with the ability to simplify complex analytical findings for diverse audiences.
• Ability to manage competing priorities while delivering high-quality analytical work.
• Strong stakeholder management skills and the ability to influence decision-making through data.
• Comfortable working independently in fast-paced, collaborative, and global environments.

Mindset

• Curious and proactive with a passion for discovering insights through data.
• Strong analytical thinker who enjoys solving business problems.
• Self-starter who takes ownership and works independently with minimal direction.
• Detail-oriented with a commitment to data quality and accuracy.
• Collaborative team player who enjoys partnering across functions to drive business outcomes.
• Continuous learner with a passion for improving products through data-driven insights.

Preferred Qualifications

• Experience supporting manufacturing, industrial, or technical eCommerce businesses.
• Familiarity with digital quoting platforms, configurator-based workflows, or custom manufacturing environments.
• Experience contributing to data modeling initiatives using dbt, LookML, semantic layers, or similar technologies.
• Knowledge of experimentation frameworks and product optimization techniques.
• Experience working within Agile product organizations.