Job Description
Key Responsibilities
- Building and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports for a heavy ML-driven product;
- Digging into data to uncover new use cases and identify potential areas for improvement;
- Leading the team’s experimentation practice;
- Identifying and assisting with resolving data quality issues for accurate tracking and reporting;
- Collaborating closely with product teams and stakeholders to enable data-driven processes;
- Developing new KPIs as needed;
- Promoting and educating product teams and (potential) stakeholders about data usage.
Qualifications
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience.
Work Experience & Skills
- Strong analytical and critical thinking skills;
- Strong communication skills with proven experience translating complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders;
- Advanced SQL and query optimization knowledge, preferably in BigQuery;
- Proven experience with visualizing data in an insightful way for the right audience with Looker Studio, Microstrategy, Tableau, Looker or other dashboarding tools;
- Proven experience with A/B testing (preferably server-side testing), including experiment design, technical setup and statistical evaluation of results (e.g., in Growthbook, Bayesian statistical engine);
- Strong statistical knowledge (e.g., data distributions, parametric and non-parametric statistical tests, type I and II errors and summary statistics, regression and tree-based models; time series analysis and Bayesian statistics would be a plus);
- Proficient in Python for conducting ad-hoc and exploratory data analyses, primarily using Jupyter notebooks;
- Solid understanding of version control with Git;
- Very good fluency in English (written and verbal).
- Strong problem-solving mindset with a process-oriented approach.
Nice-to-Have
- Experience with cross-functional collaboration throughout the broader organization;
- Self-aware, positive, and strongly committed to customer orientation;
- Good understanding of recommender systems is a plus;
- Experience with Google Cloud Platform analytical technologies is a plus.