Position: Product Data Analyst
Company: Accellabs
Experience required: 3y
English level: intermediate

**Product** - a huge popular booking platform with millions of users worldwide. one of the world leaders in the tourism market with offices in 30 countries, 1,500 employees, and a software engineering team of more than 500 professionals. The platform provides for end-users a full range of booking services: buying a bus, train, air tickets (more than 400 airlines around the world), searching and booking car rentals, booking hotels and apartments.

**What will you do?**

Work collaboratively with the Consumer Product teams on online experiments, mainly AB tests and fake door tests;

DWH and BI solution creation/support;

New data flow analysis and development;

Daily data flow tasks monitoring;

Data modeling;

ETL tasks development & optimization;

Lead the prioritization of AB tests to make sure we do the most impactful ones first;

Perform data profiling to identify anomalies.

Design and implement (semi-)automated solution for AB test evaluation with help of the Data Intelligence team.

**What do we expect from you?**

4+ years of experience as a Data Analyst or Business Analyst;

Strong problem-solving analytical thinking;

Good knowledge of PostgreSQL and BigQuery;

AB testing knowledge;

Advanced use of Big Data tools;

Common Statistical methods knowledge;

Experience in consumer-facing funnels and metrics analysis;

At least upper-intermediate level of English.

**Will be a plus:**

Experience with Python/R for data analytics;

**What we offer (besides motivating salary):**

Amazing opportunities for professional growth within a top-notch team of professionals;

Ability to influence the product roadmap;

Ability to make an impact on users worldwide;

Remote or office (5 min from Pecherskaya metro station);

Flexible working hours;

No overtime - healthy work-life balance;

No rush - we thoroughly plan our work;

No limit to vacation;

Top Medical insurance;

SportLife programs compensation;

1000 $/year: your self-education (courses and training).

Our interview process:

20m interview with one of our Talent Team Partner;

30m interview - Tech Screening with our CEO;

1h interview - Interview with a customer’s representatives;

30m discussion - product, role, offer conditions discussion.