Related skills
data analytics sql python apis power bi📋 Description
- Analyze product and customer data from multiple sources to uncover trends in adoption, retention, and engagement.
- Define, track, and report on metrics such as NPS, ARR per user, active users, and engagement.
- Build dashboards and scalable reporting that unify data across systems for insights.
- Work with incomplete, inconsistent data, applying problem‑solving to ensure accuracy and trust.
- Partner with Product Managers to validate hypotheses, measure feature performance, and prioritize.
- Collaborate with Finance to connect product usage with revenue outcomes, projections, and growth modeling.
- Support Commercial teams and Market Leaders with insights for go‑to‑market strategy and regional performance.
- Act as a data advocate ensuring insights drive decision‑making across teams.
🎯 Requirements
- 3+ years of experience in product, business, or data analytics.
- Strong background in data mining, quantitative analysis, and problem solving.
- Proficiency in SQL and a scripting language (Python or R) for data wrangling and APIs.
- Experience with BI/visualization tools such as Power BI (Fabric a plus).
- Exposure to product analytics and feedback platforms like Pendo.
- Experience with data platforms/engineering teams to improve pipelines and data quality.
- Self-starter thriving in ambiguity with strong communication and data storytelling.
- Passion for data‑driven decision‑making and continuous learning.
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