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описание
Compare the Market is a purpose-driven company that utilizes technology and AI to simplify financial decision-making for millions of customers. The organization focuses on building high-performing teams to deliver results in a fast-paced environment while fostering an inclusive culture that encourages professional growth and innovation.
задачи
Analyze customer behavior and product performance using funnel analysis, cohort analysis, segmentation, and behavioral analytics to identify opportunities and drive improvements;
Support Product Managers in understanding customer journeys, user engagement, conversion, and retention to shape product strategy and priorities;
Conduct exploratory analysis to answer product and business questions and translate complex data into actionable recommendations;
Define and measure product success metrics and KPIs, evaluating the impact of product changes and communicating outcomes to stakeholders;
Design, execute, and analyze A/B tests and product experiments to embed a culture of evidence-based decision-making;
Build and maintain dashboards and reporting solutions, monitor trends, identify risks, and surface growth opportunities;
Partner with Analytics Engineering teams to ensure KPI definitions, business logic, and product instrumentation are accurate and scalable;
Apply AI and machine learning techniques, including LLM-assisted analysis, predictive modeling, and automated insight generation, to enhance product measurement.
требования
Strong analytical skills and experience working with large datasets to uncover insights;
High proficiency in SQL and experience analyzing customer and behavioral data;
Experience with experimentation and A/B testing, including a solid understanding of statistical concepts;
Proficiency in visualization tools such as Looker, Tableau, or Power BI;
Ability to communicate complex findings clearly to both technical and non-technical audiences;
Understanding of digital product development and customer experience optimization;
Nice to have: Experience using Python or R for analysis, familiarity with product analytics platforms such as FullStory, Mixpanel, or Amplitude.