Senior Data Analyst
Warszawa, Polska, 00-841Key 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