Senior Data Analyst (Funnel Efficiency & CRO)

Location: 

Warszawa, PL, 00-841

Company:  Allegro sp. z o.o.
Team:  Corporate Functions
Contract Type:  Employee

Job description

Main Responsibilities:

  • Analyzing visits, conversion, and GMV. Building and maintaining waterfall dashboards and mapping user flows (Visit Paths) to identify conversion blockers.

  • Working directly with raw event data in BigQuery (beyond standard SaaS tools like GA4) to ensure the highest granularity of insights.

  • Creating and optimizing reporting cycles and data pipelines using Google Cloud Composer and Airflow.

  • Developing systems for automatic detection of bot traffic and anomalies to ensure data purity.

  • Analytical preparation and interpretation of A/B tests, including the use of behavioral models.

  • Transforming complex data into actionable insights that shape campaign strategies, pricing, and product opportunities.

  • Working closely with cross-functional business and product teams to ensure recommendations deliver measurable impact.

This is the right job for you if:

  • Are SQL Experts, have advanced knowledge of BigQuery, experience with massive datasets, and query optimization skills - 

  • Code in Python: use Pandas and NumPy for data analysis and automating repetitive tasks.

  • Understand E-commerce business: have a strong grip on metrics (GMV, CR, Bounce Rate, Incrementality) and statistical significance in A/B testing.

  • Are proficient in creating intuitive dashboards (preferably in Looker or Tableau).

  • Prefer working with raw data and building own processes rather than relying solely on ready-made SaaS integrations.

  • Actively identify problems and propose solutions instead of just "closing tickets," while sharing knowledge with the team.

  • Know English at a B2 level.

Nice to have:

  • Experience with Virtual Machines (VM), data orchestration, and DAGs (Airflow).

  • Familiarity with Firebase, AppsFlyer, and mobile-specific data patterns.

  • Readiness to collaborate on implementing predictive models that support conversion.

What we offer:

  • Flexible working hours in an office-first model (4/1) that depend on you and your team. Starting later or finishing earlier? No problem! Work hours keep pace with our lifestyles and can start between 7 a.m. and 10 a.m.

  • Well-located office in Warsaw (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms),

  • A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers),

  • English classes that we pay for related to the specific nature of your job,

  • Working in a team you can always count on - we have on board top-class specialists and experts in their areas of expertise,

  • A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things.

This may also be of interest to you:
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