Must have

• SQL

• Python

• English (C1)

• Polish (B2)

Requirements description

ESSENTIAL

• Significant experience in data analytics, ideally in fast-paced or high-growth environments.
• Advanced proficiency in SQL and Python, with experience building scalable analytical workflows.
• Exposure to cloud data platforms (e.g. BigQuery, Snowflake, Redshift) and modern data stack tools.
• Strong command of experimental design, causal inference, and statistical analysis.
• Proven ability to deliver insights that influence product, commercial or strategic decisions.
• Excellent communication skills (in both Polish and English) — able to distil complexity into clarity for senior stakeholders.
• Self-starter with strong prioritisation skills and a results-focused mindset.

DESIRABLE

• Experience in a consulting, advisory, or stakeholder-facing role with a track record of influencing business decisions.
• Comfortable working across a variety of domains and adapting analysis to different business contexts.
• Strong stakeholder management and facilitation skills — able to align diverse perspectives and drive action.
• Academic background in a quantitative discipline such as statistics, mathematics, economics, or computer science.

Offer description

Work and life should fit together, so we offer a range of benefits focusing on well-being, development, and team spirit. The final package will depend on the contract type we agree on.

• Standard benefits: life insurance, private health care [Luxmed], Multisport card, lunch vouchers, company share programs, and assistance for everyday worries and serious health problems.
• Learning opportunities: access to the Learnebly platform and LinkedIn Learning, English classes, and a book library,
• Parental support: additional +10 days maternity / +20 days paternity leave, funding for nurseries and kindergartens
• Hybrid model: 2 days/week in the office and flexibility to work from almost any location for up to 30 days a year.
• Office perks: centrally located offices with car and cycling parking, and home office equipment provided.
• Career growth: a clear career path with opportunities to rotate between projects, teams, domains and roles under the guidance of highly skilled senior colleagues
• High engineering culture: unique software engineering culture with a high level of test coverage and agile environment [read about our tech stack and engineering

practices across Ocado Technology]

• Speaker community: public speaking training and support for preparing presentations at conferences or meetups, including our own Ocado Technology Meetups
• Passions groups: running, cycling and more
• Annual celebrations: carnival, summer parties, family picnics, or kid’s days.

Your responsibilities

1. Lead complex analyses across product, commercial and operational domains to uncover opportunities and improve performance.
2. Own the design, implementation and interpretation of experiments (e.g. A/B tests), ensuring methodological rigour and actionable outcomes.
3. Translate ambiguous business questions into structured analytical approaches, working closely with cross-functional teams.
4. Develop and maintain high-quality dashboards, KPIs and reporting infrastructure to support self-serve analytics.
5. Build robust, reusable SQL and Python code for analysis, automation and data transformation.
6. Proactively identify data gaps and opportunities, influencing roadmap and prioritisation through clear storytelling.

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