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Data Analyst

Odświeżono: 3 tygodnie temu

Podstawowe informacje

Typ: Analytics
Poziom: regular

Wymagane technologie /narzędzia

Oczekiwane:
BigQuery
Excel
SQL
Tableau
Mile widziane:
Python

Benefity dla pracowników

Zdrowie
  • Life assurance
  • Medical Insurance
  • Lunch Vouchers
Aktywność fizyczna
  • MultiSport Card
Well-being
  • Mental health support
  • Sport Groups
  • Online Joga
Organizacja czasu i miejsca pracy
  • Relocation budget
  • Remote work opportunities
  • Flexible working time
  • MacBook or Windows
  • Work from almost any location for up to 30 calendar days a year
  • Home office equipment: additional screens, office chairs and other needed accessories
Budżet integracyjny
  • Integration events
Budżet eventowy
  • pizza parties
  • breakfasts and a lot of different occasions to celebrate together
  • meet-ups
  • IT conferences - good discount when Ocado is a sponsor
Budżet rozwojowy
  • O’Reilly Online Learning platform
  • Ocado Tech Academy
  • English classes
  • self-learning library and training budget
  • Internal mobility: rotation between projects and new career opportunities
Przestrzeń biurowa
  • Corporate library
  • Weekly breakfasts
  • Game room
Dodatkowe benefity
  • Possibility of employment based on UoP or B2B
  • IP tax relief (UoP)
  • Company share programmes: Ocado Free Shares or Ocado Shares Purchase Plan (UoP)
  • Parental support: +10 days maternity / +20 days paternity of leave, funding for nurseries and kindergartens (UoP)
  • 30 days of break in service (B2B)
  • Speaker community: we encourage and prepare our colleagues to share their knowledge at conferences, meet-ups and other talks
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) 
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