pracaon.plpracaon.pl

Senior Data Analyst

Warszawa, Polska, 00-841
Allegro
Partner
3d
Salary to be agreed
Full-time / Temporary work • Hybrid • Other

Key offer highlights

  • Employment: contract

  • Quality control

  • Hybrid model - partly remote

  • Looking for experts - senior/expert

  • Full-time

What we offer

  • Employment contract for a temporary replacement period (maternity cover)

  • Flexible working hours in the hybrid model (4d office/1d home) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work

  • A great learning opportunity, working with people coming from a lot of experience in top tier strategy consulting and e-commerce space

  • Well-located office in Warsaw (with e.g., fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, 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

  • A training budget and an internal learning platform where you will find multiple trainings

  • An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal

  • Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, and many other occasions we enjoy

  • And that's just the beginning! You can read more about the benefits here

  • #goodtobehere means that:

  • You will shape the future of e-commerce - creating innovative, pioneering solutions that set new market standards. We have over 21 million active buyers across 6 countries and collaborate with more than 164k Partners

  • You will join a team you can always count on - we have on board top-class specialists who have sharing knowledge, experience, and best practices in their DNA. Want to get to know them better? Listen to the Allegro Podcast

  • You will be part of a team that always aims to stay one step ahead of the market - we act quickly, dynamically, and at the highest level, because only then we can genuinely shape the future of e-commerce

  • You will build your own development path - with access to diverse business areas, large-scale international projects, internal mobility, inter-team tourism, and regular feedback from your manager, you will drive your growth

  • You will see that mistakes are opportunities to learn - we believe that no matter how well we execute, we can always get better

  • Send us your CV and… see you at Allegro!

This is the right job for you, if you:

  • Have strong experience in Data Analytics within E-commerce and/or Digital Marketing areas

  • Are proficient in SQL and experienced in working with BigQuery in Google Cloud Platform

  • Have hands-on experience with Apache Airflow for orchestrating and automating data workflows

  • Possess fluent English skills (B2 level) with proven confidence in presenting data insights to Senior Leadership and Executive Teams

  • Combine deep analytical skills with a proactive, PM-like approach – adept at managing multiple stakeholders, gathering requirements, and turning complex data into clear business recommendations

  • Hold a degree in a quantitative field (e.g., Mathematics, Economics, Statistics, or similar)

  • Are familiar with BI tools such as Looker or Tableau (experience in Looker migration is a big plus)

  • Have a basic understanding of marketing attribution concepts

  • Are open to leveraging AI tools (e.g., Gemini, Copilot, ChatGPT) to boost daily analytical efficiency and coding workflows

Your main responsibilities:

  • Traffic and Conversion Analysis: Analysis of visits, conversion rate and transactions broken down by external traffic sources for 4 markets

  • Strategic Business Partnering: Acting as a dedicated analytical partner for performance marketing and growth teams (including PPC, SEO, MA, affiliate and app marketing), translating complex data into actionable business recommendations

  • Marketing & Customer Value Analytics: Developing and refining marketing attribution frameworks, analyzing Customer Lifetime Value (CLV), and evaluating campaign performance to support optimal budget allocation

  • BI & Self-Service Analytics: Leading analytical initiatives to build, optimize, and modernize reporting environments (including Looker) to empower business stakeholders with clear, interactive data visualizations

  • Data Quality & Anomaly Detection: Monitoring traffic health, analyzing bot patterns, and identifying data anomalies to maintain high data purity and reliable reporting

  • Ad-hoc & High-Impact Projects: Delivering fast-paced analytical support and actionable insights for strategic cross-functional initiatives and new product or commercial launches

  • Data Pipelines & Automation: Creating and optimizing automated reporting cycles and data workflows to streamline analytical processes and ensure efficient data delivery

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