Position: Senior Web/Data Analyst
Company: Depositphotos
Experience required: 3y
English level: intermediate

Depositphotos is looking for experienced and skilled Analyst to identify product and marketing improvements based on data insights. You will be responsible for contributing to creation of KPIs and dashboards, conducting business impact analysis, evaluating product usage and trends, and discovering business growth opportunities.

Depositphotos - is a visual content platform that brings authors of high-quality licensed stock photos, graphics, vectors and videos together with appreciative buyers. Thanks to the efforts of talented professionals from all over the globe and our world-class technical solutions, we were able to build a perfect place to marry business and creativity. 144+ million files. Clients in 192 countries. 24/7 support in 20 languages. All this made possible by strong teams located in New York, Milan, Kiev, Limassol, Moscow and Warsaw.

You should have a working and strong knowledge of:

Advanced level of Google Stack: Analytics, Tag Manager, Big Query, Cloud, Adwords.
Advanced level of data visualisation: Google Data Studio, Power BI
Hands on experience in designing web events storage and processing.
Understanding of database structures and data mining techniques.
Strong knowledge of SQL (My, Postgre, GoogleBigQuery).
A/B and Multivariate testing techniques and measurements.
Strong understanding of both statistics and regression methods.
Excellent analytical skills including cohort analysis and lifetime value analytics.
Experience working with key digital marketing KPIs.
Strong interpersonal written and verbal communication skills with a demonstrated ability to tell a story based on data.
Experience with subscription products is a plus.
English level - Intermediate +.
What we offer:

Competitive compensation level.
Paid Vacations (24 days), Statutory Holidays and Sick leaves.
Comfortable Office.
Flexible Work Schedule.
Professional Growth.
Corporate parties, celebrations and office games.
What you'll have to do:

Use sophisticated statistical techniques to develop scorecards, behaviour based customer segmentation schemes, profiling analyses, and other analytically based tools.
Formulate and apply mathematical modeling and other optimizing methods to analyse and interpret information.
Design and measure A/B tests.
Data flow troubleshooting and solving revealed issues with the engineering team.
Build and maintain dashboards and reports that enable the Executive Leadership, Sales, Product, and Marketing teams to drive business performance.