Product Data Analyst
Tel Aviv, ISRAEL - Full-Time
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We’re Circles. We’re a well-funded startup based in the heart of Tel-Aviv, on a mission to reduce loneliness through the power of group support. We’re driven by the belief that no one should have to go through life’s challenges alone, and the best way to do that is with the support of those who’ve been there. With our revolutionary platform, we’ve set out to ensure that everyone, everywhere will have access to the emotional support they need to feel better.
We are seeking an experienced Product Data Analyst to help provide data-driven insights on the health of our product and continuously look for new growth and optimization opportunities using advanced analytics.
Your value will be in the form of quantitative analytical projects that deliver significant and action-oriented recommendations to stakeholders and integrate those insights into our product roadmap and enable us to make better data-driven decisions for our business.
Proactively perform bi-monthly investigative analysis to make recommendations to improve the overall product experience and surface new opportunities for improvement.
Conduct user segmentation/churn prediction/funnel optimization and LTV analysis by manipulating large and complex data sets (using SQL, Python, R, etc.)
Design, analyze and evaluate the outcomes of in-app experiments and communicate the results in a compelling and actionable form to stakeholders.
Become an expert in a specific product area and help define, track and analyze meaningful product metrics and KPIs to measure the health of the business
Provide essential visibility of our data to Product Managers, Engineering, Design, and Management by developing and maintaining meaningful and actionable dashboards.
You hold an undergraduate degree in Math, Statistics, Engineering, Computer Science, or other quantitative fields.
Gained 3+ years of experience as a product analyst/data scientist, of which 1+ years of experience designing and evaluating experiments – A must
You have advanced SQL and spreadsheets expertise, as well as experience in a scripting language for analysis (R, Python, etc.)
Worked with BI/visualization software (Tableau – Advantage)
Experience with mobile analytics methodologies and platforms such as Mixpanel / amplitude.
Familiarity with ETL pipelines and Github
Experience with subscription-based products
Experience in consumer SAAS or gaming industries
Experience with mobile app analytics
Practical experience with Machine Learning/ Data Mining Algorithms and can identify the correct opportunities of where to use it and construct the appropriate training and production of models – Advantage.