Brainstack_ is a fast-growing product company that develops high-tech solutions for customers in more than 100 countries. Armed with the latest technologies and a young ambitious team, we strive to be the best in what we do. We strongly believe that the personal growth and self-development of every team member is one of the pillars of a successful business strategy. That’s why we are ready to provide all the tools and support necessary for your professional journey.
Here, there’s no room for bureaucracy or micromanagement — each team can create its own ecosystem that’ll ensure max productivity and perfect teamwork.
Brainstack_ is a place where you grow together with the company.
Embark on a new professional journey with our Mobile Development Team!
By joining our team, you will:
— Work with an international market-leading B2C product that has over a million downloads on Google Play and App Store.
— Have a direct influence on the further development of our products.
— Deal with large volumes of data and solve complex cases.
— Learn and grow together with a young and ambitious team.
— Feel the freedom to share your vision. Who knows, your idea might become our next product!
Now we are looking for an experienced Data (Product) Analyst to join the team.
— 2+ years of professional experience as an analyst.
— Good knowledge of Python / R, SQL (MySQL, PostgreSQL).
— Good theoretical background in statistics, testing hypotheses, and knowledge in regression analysis (Logistic Regression, etc.)
— Experience with data warehouses and visualization tools.
— Knowledge of mobile analytics
— Experience with AppsFlyer, Facebook, Firebase
Will be a plus:
— Good understanding of Mobile marketing, understanding of Mobile business, knowledge of its specific indicators
— Experience in predictive analytics (time series analysis and forecasting, survival analysis, etc.)
— Experience with cloud computing services (GCP, etc.)
— Experience with payment services / e-commerce / banks / payment providers
— Business Intelligent support (automated reporting in Google Data Studio and Tableau, working with data engineers to develop DWH schema and ETL processes).
— Analysis of product metrics
— Analysis and construction of product funnels
— Building dashboards
— Data analysis to identify the causes of deviations in business metrics, as well as to optimize activities.
— Setting up and analyzing the results of experiments (A / B tests).
— Forecasting financial results.
— Participation in business optimization projects
— Possibility to be part of the creative environment and make your input to it.
— Variety of social and professional activities.
— Friendly and warm culture.
— PE employment.
— 18 days of vacation paid per year.
— Medical insurance.
— Documented sick days paid.
— 3 non-documented sick days paid.
— Breakfasts/fruit/yummies in the kitchen.
Feel free to contact me for more information
— email — email@example.com
— telegram — @brainstack