Analytics Team Lead
About The Role Team – Intermediated Sales Analytics Working Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 35 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role:
- Cross-Functional Data Operations & Stakeholder Management
- Advanced Analytics & Insight Generation
- Technical People Leadership & Capability Growth
- Lead and develop a high performing team of analysts, promoting a culture of collaboration and continuous improvement
- Provide regular coaching, feedback and career development support to team members ensuring alignment with goals and strategic team objectives
- Driving team engagement through effective communication, recognition and by creating opportunities for growth and skill enhancement
- Contribute to the development and maintenance of a reliable reporting infrastructure for the intermediated business area, ensuring consistency in KPIs and data processes
- Act as a key point of contact for stakeholders across Intermediated teams and related functions (e.g., Marketing, QA & Compliance, Finance, CRM & Data Science), supporting cross-functional projects and helping to represent the analytics perspective
- Lead the delivery of the Intermediated Analytics roadmap by coordinating team efforts, contributing to planning discussions, and ensuring work is aligned with business needs and timelines
- Push forward on the teams overarching strategy, shifting the team’s focus from reactive reporting to proactive insight, whilst championing a culture of self-serve analytics
- Carry out analysis across a range of topics to support business decision-making—this includes interpreting A/B test results, modelling scenarios, and identifying opportunities for optimisation and growth
- Design and deliver analytics models that support performance improvements within the sales teams
- Interpret key metrics and performance indicators, identifying trends, risks, and opportunities, and communicating findings clearly to stakeholders
- Advanced knowledge of Excel , Power BI, SQL
- Intermediate knowledge of Python
- 3-5+ Years’ experience working as a senior or above in an analytics role
- Effective communication of complex analytical concepts and results
- Experience coaching / mentoring individuals
- Proven track record of improving processes and driving efficiency
- Experience of using large and varied data sets to yield credible, effective insights
- A good understanding and knowledge on the insurance industry as well as an understanding of contact centre’s
- Proven problem-solving, decision-making and prioritisation skills
- Excellent communication skills, with the ability to work and communicate with stakeholders from all levels of the business
- Proven experience in project management, with the ability to plan, execute and deliver initiatives on time while coordinating multiple stakeholders and managing competing priorities
- Bonus Schemes – A bonus that regularly rewards you for your performance
- A pension of up to 12%– We will match your contributions up to 6% of your salary
- Our award-winning Vitality health insurance – With its own set of rewards and benefits
- Life Assurance – Four times annual salary
- Help you to be the healthiest you’ve ever been.
- Create an environment that embraces you as you are and enables you to be your best self.
- Give you flexibility on how, where and when you work.
- Help you advance your career by playing you to your strengths.
- Give you a voice to help our business grow and make Vitality a great place to be.
- Give you the space to try, fail and learn.
- Provide a healthy balance of challenge and support.
- Recognise and reward you with a competitive salary and amazing benefits.
- Be there for you when you need us.
- Provide opportunities for you to be a force for good in society.
- Company
- Vitality
- Location
- London, South East, England, United Kingdom
- Employment Type
- Full-Time
- Salary
- Competitive salary
- Posted
- Company
- Vitality
- Location
- London, South East, England, United Kingdom
- Employment Type
- Full-Time
- Salary
- Competitive salary
- Posted