Head of Analytics

We are JATAPP, a product IT company that builds products used by millions of users worldwide. Our portfolio already includes 20+ products across white niches such as Business, Utilities, Lifestyle, Cybersecurity, and Education, while we continue expanding into e-commerce and web. And there's much more ahead!

We are looking for a Head of Analytics to lead and scale our analytics practice: to shape our data strategy, generate insights for the company’s key decisions, and build a strong team of analysts.
This is an opportunity to take full responsibility for a practice that has long been in need of an update to its measurement and analytics strategy.

Key challenges:

• Turn analytics from an '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

Key responsibilities:

Data Infrastructure & Cloud Migration

• Leading the implementation of a high-quality data architecture (BigQuery, Amplitude, ETL, Google Cloud)

• Leading the analytical part of the migration from AWS to GCP (BigQuery, Composer, Pub/Sub)

• Auditing current DAGs, events, and tables to determine the optimal migration order

• Implementing naming conventions, table structures, access rules, and ETL pipelines

• 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 across units

• Collaborating with the data engineer on data maps, sandboxes, predictions, and shared schemas

Data Governance & Access

• Defining data access policies: role models, unit-level restrictions, and sharing controls

• Creating documentation on data protection rules for analysts, managers, and external partners

Analytics as a Service for Product Teams

• Supporting 6 product units through effective management of 5+ 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

Decision-Making Methodology

• Implementing a single metrics library and glossary of interpretations

• Running regular analytical reviews with product and functional department heads

• Creating report templates and recommendation frameworks for PMs/PMMs

Team Management

• Implementing people-management practices: one-on-ones, performance reviews, and analyst development

• Developing product thinking within the team — moving beyond "just building reports" to proposing actions

• Planning the team's workload, prioritizing tasks, and involving analysts in R&D initiatives

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 the available budget

• Knowledge sharing: such events are our way to grow together. We gather to discuss new trends, share our own insights, and elevate one another

• Remote-First Culture: it’s up to you whether to work remotely or at our coworking space 

• Personal Equipment Policy: no tech troubles — you’ll get a MacBook and everything you need for comfortable and efficient work

• 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