BI Data Analyst

A holding of companies creating mobile applications with over 100 million users worldwide and various famous titles in its portfolio. We develop our own mobile apps that empower anyone to achieve their goals, improve health, and significantly transform their lives. Our Development Team is excited to welcome a new colleague - an experienced BI Data Analyst.

Requirements:

•  4+ years of commercial experience as a Data Analyst, with a strong focus on data manipulation, analysis, and visualization.

•  Proficiency in SQL and Python for data querying, manipulation, and scripting.

•  Experience working with relational databases, particularly PostgreSQL.

•  Experience with Tableau.

•  Familiarity with workflow management tools like Airflow for scheduling and monitoring data pipelines.

•  Deep insight of the industry trends and emerging technologies related to the marketing and monetization: SKAdNetwork, subscription-based and purchase-based monetization, web-to-app and web-to-web funnels, attribution technologies.

•  Familiarity with Appsflyer, Adjust or other MMPs from analytics side, Facebook Ads, TikTok Ads and similar advertising platforms.

•  Experience of working in product companies with B2C mobile or web portfolio.

•  Goal-oriented mindset, ability to see and take a business context, and to align solutions with business needs; strong analytical and problem-solving skills with a keen attention to detail.

•  Great teamplay and communication skills with the ability to convey complex concepts to both technical and non-technical stakeholders, abilities to prompt colleagues and support them, to be self-driven and to make decisions autonomously but to know exactly when to ask for help.

•  Clear understanding what is the cross-functional team and how it works.

•  Domain knowledge of the mobile app industry and understanding of key metrics and challenges faced by app publishers.

•  Bachelor's degree in a relevant field such as Computer Science, Mathematics, Statistics, or a related discipline.

Responsibilities:

Develop the in-house Business Intelligence service.

Design and implement data models to predict revenue/LTV/ROI of products in terms of marketing channels with subscriptions monetization model (mobile and web platforms).

Build and automate reports, dashboards, and visualizations to provide users with intuitive access to key metrics and performance indicators.

Collaborate with UA and Marketing managers to understand business requirements and translate them into the intelligence solutions, that solve the problems.

Act as a subject matter expert, providing guidance and recommendations on data-driven strategies to improve business performance.

We offer:

Opportunity to work on unique products

Friendly team of professionals open to discuss new ideas. We stand for the drive and mutual respect at work

Remote work and flexible working hours

We provide everything you need for comfortable work at home

Benefits: compensation for sports, medical services, training, employee referral bonuses, etc

28 days paid holiday

Paid sick leave