Data Analyst

• Design, build, and maintain dashboards and analytic tools using BI platforms such as Looker, Tableau, or Power BI.
• Partner with teams across Product, Operations, Marketing, and Finance to deliver data insights that drive business decisions.
• Automate recurring reporting and data workflows using SQL, DBT, and lightweight scripting (Python or Apps Script).
• Ensure data quality, consistency, and reliability across all reporting pipelines.
• Analyze end-to-end customer journeys, funnels, drop-off points, and friction patterns to surface actionable product opportunities.
• Work with PMs and Engineers to define success metrics, design A/B tests, and measure feature impact.
• Evaluate product changes, including adoption patterns, retention effects, and impacts on core KPIs.
• Build and monitor key product health dashboards (activation, retention, conversion, engagement).
• Conduct deep-dive investigations into user behaviors to understand why customers succeed or churn.
• Translate complex data into clear, actionable insights and stories that influence product strategy.
• Experiment with AI-assisted analytics tools (e.g., OpenAI, Gemini, Claude) to streamline data exploration, automate repetitive tasks, and generate faster insights.
• Identify opportunities to apply AI and automation to improve internal workflows or reporting efficiency.
• Partner with senior team members on small-scale experiments involving LLMs or natural language analytics — building your skillset as you go.
• Contribute to a culture of AI curiosity, responsible experimentation, and applied innovation within the analytics team.

Data Analyst, Product, BI, AI

Data Analyst, Power BI

Data Analyst

IV Data Analyst

Data Analyst