Requirements

Expected technologies

SQL

Tableau

Metabase

Microsoft Power BI

Optional technologies

Python

R

Our requirements

• Proficient in SQL, with experience querying large datasets and optimizing performance
• Skilled in data visualization tools (e.g., Tableau, Power BI, Metabase)
• Experience in Python or R for analysis and automation is a plus
• Strong understanding of product funnels, user journeys, and cohort analysis
• Familiarity with A/B testing methods and statistical evaluation
• Solid business acumen — you know how to turn numbers into actionable decisions
• Clear and confident communicator — able to present findings to both technical and non-technical audiences
• Detail-oriented with a commitment to data quality and governance
• Comfortable juggling multiple tasks in a fast-paced, agile environment

Your responsibilities

• Lead deep-dive analyses to uncover business trends, user behavior, and operational inefficiencies
• Translate data into clear narratives and visual stories for product, business, and technical stakeholders
• Define and maintain KPIs for specific product domains or journey
• Build and maintain dashboards and automated reports to monitor performance and identify trends
• Serve as the go-to analytics contact for business, product, and operations teams
• Turn open-ended business questions into testable hypotheses and structured problem-solving approaches
• Support A/B testing from design to interpretation
• Ensure accuracy, consistency, and trustworthiness across all reporting layers
• Audit data logic and pipelines, and flag anomalies and inconsistencies
• Partner with engineering teams to maintain data integrity
• Deliver timely and actionable insights to support strategic initiatives, product launches, campaign performance, and continuous optimization
• Prioritize findings by business impact and urgency
• Work closely with Data Engineers, PMs, and other Analysts to maintain consistency across metrics and improve decision-making
• Influence product and analytics roadmaps through recurring insight-driven recommendations