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Data Analyst

Refreshed: Over a month ago

Key information

Type: Analytics
Level: regular

Required technologies /tools

Expected:
BigQuery
Excel
SQL
Tableau
Welcome:
Python

Benefity dla pracowników

Health
  • Life assurance
  • Private health care [Luxmed]
  • Lunch Vouchers
Physical activity
  • MultiSport Card
  • Joga (office/online)
Well-being
  • Mental health support
  • Assistance for everyday worries and serious health problems
  • Sport Groups
Organization of time and place of work
  • Relocation budget
  • Remote work opportunities
  • Hybrid model (2 days/week in the office)
  • Work from almost any location for up to 30 calendar days a year
  • Home office equipment (additional screens, office chairs and other needed accessories)
  • MacBook or Windows
Integration budget
  • Team and company building events
Event budget
  • Pizza parties
  • Breakfasts and a lot of different occasions to celebrate together
  • Meet-ups
  • Integration events (carnival, summer parties, family picnics, or kid’s days)
Development budget
  • Access to the Learnebly platform
  • English classes
  • Self-learning library
  • Internal mobility (rotation between projects, teams, domains and roles under the guidance of highly skilled senior colleagues)
Office
  • Weekly breakfasts
  • Game room
  • Centrally located offices with car and cycling parking
Additional benefits
  • Possibility of employment based on UoP or B2B
  • Company share programmes: Ocado Free Shares or Ocado Shares Purchase Plan
  • Parental support (+10 days maternity / +20 days paternity of leave, funding for nurseries and kindergartens)
  • Speaker community (public speaking training and support for preparing presentations at conferences or meetups)
About the role:
We are looking for a talented analyst to join our Product Analyst team within the Logistics & Supply Chain (LSC) stream. The LSC stream creates products which optimise our supply chain such as forecasting customer demand, fulfilment centre replenishment and stock control as well as our home delivery planning, optimisation and execution services which focus on great customer experience and cost optimisations for retailers. 

This is a key role that will provide insights to the Logistics product teams, allowing them to make effective decisions and take their products to the next level.

Your role and responsibilities will include: 
  • Conducting analysis and applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers. Show how what we are developing is affecting our key metrics 
  • Creating dashboards, automated reports and alerts that provide insight to how we are progressing against our targets 
  • Working with stakeholders to define, create and monitor relevant product metrics to measure the success of our platform. 
  • Proactively working with Data Scientists and other analysts in the team to identify areas of opportunity for improving our products 
  • Developing & maintaining relationships with stakeholders, championing data-informed decision making among the Product teams. 

What we're looking for: 
  • An analytical thinker who can break down complex problems and provide results in a clear and actionable way. 
  • Strong analytical and numerical skills
  • Hands-on experience using SQL/BigQuery & Excel/Google Sheets
  • Experience with data visualisation tools such as Looker / Data Studio / Tableau
  • Comfortable communicating with technical and non-technical senior management and key stakeholders 

You would stand out from the crowd if you had any of the following: 
  • Experience with Logistics (especially in the Retail industry)
  • Experience using Looker
  • Experience using Python (or other data oriented programming languages) 
read more»
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