Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge
Roles and Responsibilities:
- Identifying operational improvements and finding solutions by applying CI tools and techniques
- Responsible for completing tasks and transactions within agreed KPI's
- Knows and applies fundamental work theories/concepts/processes in own areas of work
Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical
solution document calling out how application of data science will improve decision making
- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources
- Building Statistical models and ML algorithms with practitioner level competency
- Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and
reusable modules on GitHub, Wiki, etc) with expert competency
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a
visualization platform (Tableau / Python) or through a recommendation set through PPTs
- Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to
address the bigger business questions (if any)
Key people and teams I work with in and outside of Tesco:
People, budgets and other resources
I am accountable for in my job:
Enterprise Analytics Senior Management
Partners across the global Tesco business
Experience relevant for this job:
- Applied Math: Applied Statistics, Design of Experiments, Linear
-1-2-year experience in data science application in Retail or CPG
& Logistic Regression, Decision Trees, Forecasting, Optimization Preferred algorithms
- Functional experience: Marketing, Supply Chain, Customer,
- Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS
Merchandising, Operations, Finance or Digital PowerPoint
- Soft Skills: Analytical Thinking & Problem solving, Storyboarding