Data Analyst @ Ocado Technology
(práce v Polsku)

Data Analyst @ Ocado Technology

Polsko

ESSENTIAL

• Experience in a data analyst or business intelligence role.
• Strong SQL and Python skills and experience working with cloud data platforms (e.g. BigQuery, Snowflake, Redshift).
• Proven ability to design and analyse experiments, with a good grasp of statistical significance, test design and causal reasoning.
• Proficiency in data visualisation and reporting tools (e.g. Looker, Tableau, Power BI).
• Strong communication skills — able to distil complex data into clear narratives for different audiences.
• Comfortable managing multiple requests, prioritising effectively, and working in a fast-paced environment.

DESIRABLE

• Experience in a consulting, advisory or cross-functional stakeholder-facing role.
• Comfortable working in ambiguity and framing data work around business impact.
• Strong stakeholder management skills — able to challenge constructively, influence priorities, and drive alignment.
• Prior exposure to logistics and fulfilment industry domains.

BENEFITS: WHAT’S IN IT FOR YOU?

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.

,[Perform analysis to uncover trends, behaviours and opportunities that drive performance across the business., Design, run, and interpret experiments (e.g. A/B tests) to evaluate product features, campaigns or process changes., Define and track core metrics and KPIs, providing clear recommendations based on data., Build intuitive dashboards and self-serve tools using BI platforms (e.g. Looker, Tableau, Power BI)., Work with stakeholders to understand their goals, translating them into analytical problems and delivering actionable insights., Ensure high data quality by contributing to validation, cleaning and transformation processes., Collaborate with analytics and data engineering teams to improve data accessibility and reliability.] Requirements: SQL, Python, BigQuery, Redshift, Snowflake Additionally: Training budget, Private healthcare, Sport subscription, Lunch card, International projects, Free coffee, Bike parking, Playroom, Shower, Free snacks, Modern office, In-house trainings, Free parking, No dress code.

Kategorie

data

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