Product Analyst with a focus on research and ML (Middle / Middle+)

T-Bank | Growth direction of savings and investment products

About the team

We are responsible for attracting and engaging T-Bank customers in savings and investment products. We do this through targeted communications — finding the right moment, the right channel, and the right offer (monetary or not) so that the customer receives real value.

Right now, analytics in the team is undergoing an important phase transition: from reactive launch analytics to a proactive product-oriented team of research and meaningful experiments. Simply put: previously we measured what we had already launched. Now — we determine what to launch and why.

And to complete this transition we are looking for a strong analyst who will cover a wide range of tasks at once — from research and experiments to ML elements.

The direction is at a stage where there are plenty of 'low-hanging fruit'. Fast visible impact, steep growth curve, and a real opportunity to shape the analytical approach within the team.

What you will do

• Research the value and formats of customer communications — which content, in which channel, at what moment works best
• Study communication policy and find optimal customer contact points
• Generate hypotheses and turn data into product solutions
• Design, launch, and summarize results of A/B experiments
• Apply ML approaches (segmentation, clustering, predictive models) to increase communication efficiency
• Develop team reporting and automate routine tasks

We expect from you

• Product analytics experience from 2 years
• Confident SQL — complex queries and big data don't scare you
• Python for analytics (pandas, visualization, automation)
• Solid understanding of statistics and A/B testing methodology
• Understanding of basic ML concepts: segmentation, clustering, regression — and when each approach is appropriate

Will be a strong advantage

• Practical experience in creating and deploying ML models into production
• Experience with ML frameworks (scikit-learn, LightGBM, CatBoost, etc.)
• Experience in fintech or work with investment/savings products
• Experience in building communication strategies or CRM analytics
• Familiarity with Airflow, Spark or visualization tools (Tableau, Grafana, Superset)