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What’s in it for you:
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!
* Annual bonus scheme of up to 20% of base salary
* Holiday starting at 25 days plus a personal day (plus Bank holidays)
* Private medical insurance
* 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
* Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
About The Role:
As a BI Analyst, you will be responsible for the development of analytical products that are easy to use and help colleagues make better and faster business decisions by using accurate, strategic, trustworthy data assets. Collaborate with a cross-functional team to validate data, develop analytical models and analytics UIs that are aligned with the business needs.
You will be responsible for:
* Participate and contribute to user workshops to understand user needs and assess feasibility of analytical products builds.
* Run data discovery to investigate the state and maturity of the data assets that need to be used.
* Build scalable data models that satisfy the analytics product development needs.
* Design and build user interfaces that are performant, interactive, easy to use and assist users with decision making.
* Support and train users through onboarding and upskilling journey of using analytical products.
You will need:
* Experience developing robust analytical products that are actionable and scalable.
* Expertise in using Hive, Spark, Teradata or other SQL technologies.
* Strong knowledge and experience of using business intelligence and visualisation tools such as Tableau.
* Comfortable developing ETL frameworks and processes for automation using software such as Alteryx, Knime, Dataiku.
* Good understanding of the full data lifecycle and understanding of typical enterprise concerns around data platforms (Governance, Quality, Security).
* Experience creating outputs for both technical and non-technical audiences.
* Ability to manipulate, analyse and synthesise data using different sources to create customer led, data driven products and high impact presentations.
* Desired experience with Python, GitHub, data orchestration tools (Oozie, Airflow) for data wrangling and building data pipelines.
* Curiosity towards AI assisted analytics and the opportunities of integrating AI within data & analytics.
* Highly numerate with a university degree of 2:1 or higher in a quantitative discipline or relevant experience.
Seniority level
Entry level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Retail
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