• Work with engineers, product managers, and product designers to create clear, customer-facing documentation for Metabase. • Collaborate with our Success Engineers to understand how customers think and develop best practices, guides, and tutorials to address customer needs. • Become a product expert, test new features, and provide product feedback.

• Build and maintain dashboards and reports in Sigma Computing to track key business metrics including marketing performance, customer acquisition, and operational KPIs • Write SQL queries to extract, analyze, and transform data from Snowflake to support ad-hoc analysis and recurring reporting needs • Support marketing analytics by analyzing campaign performance across paid channels (Google Ads, Facebook Ads, Bing Ads) and organic acquisition sources • Conduct cohort analysis and customer segmentation to understand lifetime value, retention patterns, and payback periods • Assist with monthly and quarterly business reporting, ensuring data accuracy and timely delivery • Collaborate with cross-functional teams to understand their data needs and translate business questions into analytical frameworks • Perform data quality checks and flag discrepancies to ensure reporting accuracy • Document analytical processes, data definitions, and report logic • Present findings and insights to stakeholders in clear, actionable formats • Support the analytics team on larger projects including attribution modeling and customer analytics initiatives

• Responsible for delivering actionable insights that enhance client value, drive business growth, and improve operational efficiency. • Shape and execute the organization’s benchmarking and survey strategies for non-medical employee benefits, including insurance products (Life, AD&D, Disability, Dental, Vision, Voluntary) and related employer practices. • Develop scalable frameworks, innovative approaches, and data-driven solutions aligned with organizational goals and market trends. • Act as a strategic advisor to ensure benchmarking and survey initiatives remain relevant, impactful, and collaborative across internal teams and external stakeholders. • Partner across practices to understand market dynamics and business needs of clients as it relates to structured and unstructured data. • Define and lead the overall direction of client analytics, benchmarking and survey initiatives in alignment with organizational objectives and industry standards. • Leverage and elevate business intelligence solutions to deliver meaningful insights and measurable ROI for internal and external clients. • Lead projects and initiatives across areas of specialization and expertise. • Design scalable models and frameworks that support current and future-state business needs. • Make recommendations to leadership for key areas of investment in tools, technologies and other infrastructure. • Serve as team leader for Analytics Associate, providing direction to ensure seamless execution of benchmarking deliverables. • Foster a culture of collaboration, accountability, and continuous improvement. • Actively engage with internal clients to understand their needs and deliver structured benchmarking and analytics information. • Provide strategic insights that inform client decisions and drive sustainable business growth. • Design and maintain analytics and benchmarking data integrity, ensuring it remains current, accurate, and insightful. • Implement innovative approaches to evolve and market data solutions as the business grows.

• Build, streamline, and automate recurring data models and reporting processes to reduce manual workload. • Own large, complex financial and operational datasets (NetSuite, marketplace reports, external files) and translate them into usable formats. • Develop sophisticated Excel and/or BI dashboards (Power BI etc.) for financial and operational performance tracking. • Partner with Finance and Accounting teams to provide analytical support for key business questions (COGS allocation, SKU profitability, channel analysis, etc.). • Support month-end and quarter-end reporting by structuring large data extracts into reconciled reporting packages. • Assist in variance analyses across sales channels, products, and cost drivers to identify risks and opportunities. • Identify inefficiencies in current manual processes and propose/implement data-driven solutions. • Support automation initiatives that enable scalability of reporting and analysis. • Collaborate cross-functionally (Finance, Accounting, Supply Chain, IT) to ensure data integrity and improve upstream inputs. • Take a leading role in ad hoc data pulls and analysis to support decision-making. • Assist in the preparation of financial presentations (financial views, slides, etc.) • Provide support for strategic projects e.g., pricing automation, channel expansion etc.