Senior Data Analyst

Position: Senior Data Analyst (Contract)
Job Title:

Senior Data Analyst (12-Month Rolling Contract)

Location:

Whitley, UK (Hybrid: Generally 3 days on-site)

Employment Type:

12-Month Contract (Inside IR35 / Rolling)
Contract Type:
Hybrid (3 Days onsite/ 2 days Onsite)
Sponsorship:
No Sponsorship Provided (Must have full right to work in the UK)

The Opportunity:

The Business Performance Intelligence function within the Global Customer Care team has enabled a strong data capability model across the organization to leverage data-driven decision-making across all aspects of Parts and Accessories (P&A) Revenue performance and Customer Satisfaction. This role is part of the Retail Performance Intelligence (RPI) team, where our aim is to integrate data-driven insight into operations to drive highly bespoke and predictive customer service.

Key Accountabilities & Responsibilities

Combine data from multiple sources to generate new insights, identifying correlations of events and activities to inform future action plans at retailer and market levels.
Access a pool of information based on the outputs of 1,700 retailers worldwide to set the standard for insight generation.
Own the calculation of the retention metric and lead the objective toward an increasingly insightful way we measure how well we retain customers using transactional data.
As the RPI Intelligence lead, you will have full ownership of the “Ideas Hopper” generated through feedback from global regions and markets.
Work in close collaboration with TCS and the Systems and Data teams to ensure on-time delivery of agreed hopper items.
Apply a methodical approach to ensure on-time delivery of stakeholder requirements and the advancement of data capabilities with retail transactional data.
Monitor and report on trends, achievements, and intelligence best practices at the market level.
Knowledge, Skills, and Experience
Essential:

Advanced knowledge of technologies, techniques, and practices to manage complex datasets and summarize key messages and recommendations.
High proficiency in Tableau is mandatory, including an eye for "Tableau artistry" (use of color, contrast, layout, and interactivity).
Previous experience and knowledge of various data management tools, specifically Google Big Query or Enterprise Data Warehouses (EDW).
Skilled communicator with the ability to bridge the gap between technical and business communities to ensure a common understanding.
Experience working with customers to understand problem statements and translating them into clear requirements for delivery teams.
Proven experience in managing project delivery against strict deadlines.
Desirable:

Working understanding of SQL, Anaplan, and JIRA.
Background in Agile delivery with the ability to develop customer-centric user stories aligned to product features.
Sound understanding of retailer processes acquired through Automotive or Luxury retail experience.
Understanding of predictive profiling.
Key Performance Indicators (KPIs)

Identification of data-driven insights to drive Revenue and Customer Satisfaction.
Quarterly development of opportunities via the Intelligence tools/funnel.
Development of a roadmap to achieve insight generation based on transactional data.
P&A revenue and customer satisfaction improvement for identified underperforming retailers