Data & Analytics Manager
1 month ago
Beyond Property, Purchasing, HR and IT, more than being part of our Finance or Marketing teams, beyond even Sales and Service, every role in every business area offers unique opportunities to make an impact on the future of mobility and the automotive industry.
WHAT TO EXPECT
JLR is currently growing globally to tackle the ever-increasing challenges being faced by our business and elevate Transformation to the levels required to deliver a sustainable industry-leading organisation, JLR is continuing to invest in its internal Analytics capabilities.
The Systems and Data Customer Care team uses analytical services (technology and people) pulling data from numerous sources to identify root cause quality issues by impact to the customer, plus time and cost of repair.
As a Data & Analytics Manager, you’ll be primarily responsible for implementing the Data architecture strategy, Governance across functional areas and the scoping of analytics projects, and management of them to deliver value to the business. You’ll be a key link between the technical experts in the Analytics Centre of Excellence, business stakeholders (Customer Care, external system Suppliers & IT), the project management oversight, strategic partners and off-shore teams responsible for the delivery of the portfolio of projects as well as manage BAU tasks in a DevOps pattern.
Key Accountabilities and Responsibilities
Supporting and shaping the Customer Care Strategy and lead the overall data governance Delivering financial value to the business through analytics projects and critical BAU maintenance Scoping of the analytics projects and design of workplans that apply the appropriate analytics techniques, whilst ensuring robust data architecture standards are in place Management of these projects/tasks using DevOps development methodologies Recording, tracking and reporting progress and outcomes of analytics projectsWHAT YOU’LL NEED
Knowledge, Skills and Experience
As a Data & Analytics Manager, you may be working on multiple projects in a short space of time, so having experience working across multiple projects will be advantageous as well as working within an agile working environment.
Essential:
Experience of managing multiple complex projects and delivering business value through technology or analytics projects. Experience in the latest analytics tools and platforms Tableau, Python GCP Experience within data modelling, machine learning and/or AI tools Strong stakeholder engagement and management skills Experience in defining and implement data architecture best practices-
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