Marketing data analyst in customer engagement

Vitality; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working

Bonus schemes

Pension 12%

Employer match up to 6%

Vitality health insurance

Life Assurance 4x salary

Career development opportunities

Work-life balance

Job summary

Vitality is seeking a Senior Marketing Data Analyst to lead analysis across member, brand, content and adviser engagement. Working with Marketing, Data and Tech, you will apply advanced analytics to uncover drivers of engagement and translate complex data into actionable marketing decisions.

You will build measurement frameworks, run A/B tests, and develop segmentations and predictive models using SQL and Python. Experience with Power BI and BigQuery is preferred.

Qualifications

• 5+ years in marketing/customer analytics or related field.
• Advanced SQL with large marketing datasets.
• Strong Python for analysis and automation.
• Power BI or similar dashboards experience.
• Experience with cloud data environments like BigQuery.

Responsibilities

• Lead analysis across member communications, journeys and engagement.
• Develop measurement frameworks and KPIs for behavioural impact.
• Analyse journeys to identify patterns and friction points.
• Conduct deep-dive analysis to drive engagement and behavior change.
• Design and evaluate A/B tests and experiments.
• Build segmentation and predictive models using SQL and Python.
• Create reusable datasets and scalable measurement solutions.
• Translate analysis into clear, risk-aware recommendations.

Skills

SQL

Python

Statistical techniques

Analytical storytelling

Stakeholder management

Power BI

Tools

BigQuery

APIs

Job description

Описание:

We're looking for a Senior Marketing Data Analyst to lead analysis across Vitality's member, brand, content and adviser engagement activity. Working across Marketing, Data and Technology teams, the role will use advanced analytics to uncover what drives audience engagement, establish its impact on customer and commercial outcomes, and turn complex behavioural data into clear recommendations that improve marketing decisions.

Задачи:

• Lead analysis across member communications, digital journeys, sponsorships, events, content and adviser engagement to identify the activity that creates meaningful customer and commercial value
• Develop robust measurement frameworks and KPIs that assess behavioural impact and longer-term outcomes beyond traditional metrics such as opens, clicks, views and attendance
• Analyse audience journeys and engagement funnels to identify behavioural patterns, points of friction and opportunities to improve progression towards desired actions
• Conduct deep-dive analysis to establish which communications, experiences, content, propositions and audience characteristics drive stronger engagement and behaviour change
• Design and evaluate A/B tests, control groups and other experimental approaches to measure incrementality and distinguish genuine impact from correlation
• Build behavioural segmentations, propensity models and predictive solutions using SQL, Python and statistical techniques to support more targeted marketing activity
• Evaluate how engagement influences longer-term outcomes, including app adoption, sustained member activity, brand consideration and adviser business
• Create reusable analytical datasets and scalable measurement solutions by combining CRM, digital, communications, content, event and behavioural data
• Translate complex analysis into clear recommendations covering expected impact, assumptions, uncertainty and risk, enabling stakeholders to make assured evidence-led choices
• Test existing measurement approaches and raise analytical capability across Marketing by promoting experimentation, analytical rigour and continuous improvement

Требования:

• 5+ years' experience in marketing/customer analytics, marketing science, decision science or a related quantitative field.
• Advanced SQL skills, working with large marketing, digital, CRM and customer datasets.
• Strong Python skills for data analysis, statistical modelling and automation.
• Experience using Power BI or similar BI tools to build dashboards and turn data into clear, actionable insights.
• Experience working with cloud-based data environments, such as Google BigQuery, and combining multiple data sources.
• Strong knowledge of applied statistics, including regression, hypothesis testing, experimental design and statistical significance.
• Experience with customer and behavioural segmentation, including rule-based and statistical techniques such as clustering.
• Experience working with APIs, automated data feeds or platform-level data exports.
• Strong analytical storytelling and stakeholder skills, turning complex analysis into clear recommendations and business decisions.
• Curious and proactive, with the ability to explore new analytical techniques, technologies and data sources independently.

Условия:

• We're happy to discuss flexible working!
• 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