Head of Analytics

We are an IT company JATAPP, creating products that are used by millions of users from all over the world. Our portfolio already includes 20+ different products exclusively in white niches: Business, Utilities, Lifestyle, Cybersecurity, and Education. And even more to come!

We are looking for a  Head of Analytics to lead and scale our data function. This multifaceted role will help guide our data strategy, drive insights that inform mission-critical decisions, and build a high-performing data team. This is an opportunity to take ownership of an area in the company that is ready for innovation in measurement strategy and analytics.

Key responsibilities:
1. Data Quality & Infrastructure
• Leading the process of implementing a high-quality data architecture (BigQuery, Amplitude, ETL, Google Cloud)
• Building a system for verifying and updating events, metrics, and connectivity between sources (Amplitude, payments, finance)
• Ensuring the unification of events, net revenue, conversions, and other key indicators between units
• Collaborating with the data engineer to implement data maps, sandboxes, predictions, and shared schemes

2. Analytics as a service for product teams
• Providing support for 6 product units through effective management of 6+ Product Analysts
• Standardizing A/B testing flows, analysis templates, and data collection approaches
• Building a BP & CAC reporting system with automation to minimize manual work
• Developing approaches to LTV forecasting and building strategic financial analytics

3. Data Governance & Access
• Defining data access policies: role models, unit restrictions, and sharing controls
• Creating documentation on data protection rules (analysts, managers, external partners)

4. Migration to Google Cloud
• Leading the analytical part of the migration from AWS → GCP (BigQuery, Composer, PubSub)
• Implementing  naming convention, table structure, accesses, and ETL pipelines
• Audit current DAGs, events, tables and determine the optimal transfer order

5. Decision-making methodology
• Implementing a single library of metrics and a glossary of interpretations
• Building regular analytical reviews with product and functional department heads
• Creating templates of reports and recommendations for PM/PMM

6. Team management
• Implementation people management practices: one-on-one, performance review, and analyst development
• Developing product thinking skills in the team (not just “build reports” but propose actions)
• Planning the team's workload, prioritize tasks, and involve them in R&D initiatives

Key challenges:
• Turn analytics from 'operational support' to a 'product partner
• To overcome fragmentation in methodologies, processes, metrics names, and reporting
• Create a culture of responsibility for data quality
• Create a scalable analytical architecture for the rapid launch of new products
• Ensure business transparency with limited analyst resources and high demand for analytics
• Build trust between units, especially in terms of sharing analytical insights

What you’ll need:
• Experience with mobile product analytics (marketing, product optimization)
• Successful experience in building and scaling analytical processes
• Skills in developing, validating A/B test results, and providing recommendations for optimization
• Experience in analyzing user behavior, segmenting and clustering audiences to identify behavioral patterns and improve UX
• Work with advertising, transactional, and subscription monetization models
• Understanding of key metrics (CAC, LTV, ROMI, ARPU), experience in optimizing advertising activity, and cohort analysis

 You need to know such tools:
• SQL: deep knowledge of working with databases and query optimization
• DWH: experience with AWS (Redshift) or GCP
• BI tools: high level of proficiency in Tableau to create interactive dashboards and data visualization
• Marketing tools: working with AppsFlyer
• Product platforms: using Amplitude to analyze behavioral data
• Monitoring: experience with New Relic and Grafana for system monitoring
• Orchestration: using Airflow to manage ETL processes
• ML tools: basic understanding of the main ML frameworks for building and integrating ML pipelines

Recruitment Process: Interview with a recruiter — Technical interview — Final interview — Reference Check — Offer

We Offer:
• Mental and Physical Health: health care is a must, so at JatApp, we will cover health insurance for you
• Benefits Cafeteria: choose what you like most — sports, food delivery, home office supplies — and we will cover your expenses under available budget
• Knowledge sharing: in addition to internal events, you will have access to the Projector library
• Remote-First Culture: it’s up to you whether to work remotely or at our coworking space 
• Personal Equipment Policy: for sure, you will have everything you need to work efficiently
• Learning and Development Opportunities: it's a real pleasure for us to watch you learn, so we're happy to cover your learning and development costs, as well as English courses
• Community of like-minded people: at JatApp, you will work in a team of like-minded people who are ready to launch a product, run a marathon, or climb Hoverla together
• Creative freedom: we encourage initiative and creative thinking, so with us, you can be yourself and have the freedom of professional expression
• Legal & Finance Support: we cooperate with the best financiers and lawyers who will be ready to help solve any of your questions upon request
• Time-off Policy: 20 vacation days per year, 5 days for sick leave without medical confirmation, unlimited sick leaves with a doctor's note, 3 personal days, and 2 days off for special events or occasions