At a Glance
- Tasks: Lead a team to drive digital analytics and insights for impactful marketing strategies.
- Company: Join Hargreaves Lansdown, a leader in financial services with a focus on innovation.
- Benefits: Enjoy hybrid working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real difference by turning data into actionable insights that enhance user experiences.
- Qualifications: Experience in digital analytics and strong leadership skills are essential.
The predicted salary is between 49500 - 60500 £ per year.
Hargreaves Lansdown seeks a Digital Analytics Lead to champion analytics across Bristol-based journeys and marketing, driving actionable insights and data products.
You will lead a team, design measurement strategies, and ensure governance across web and app platforms.
The role emphasises collaboration with Product, Digital, and Engineering, delivering self‑service dashboards, and turning data into operational improvements.
Bristol-based, hybrid working options available.
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Head of Digital Analytics & Insights employer: Hargreaves Lansdown plc
Hargreaves Lansdown PLC is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Bristol. With a focus on employee growth, we provide opportunities for professional development alongside competitive benefits such as a discretionary annual bonus and flexible working options, making it an ideal place for those looking to make a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Digital Analytics & Insights
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We think you need these skills to ace Head of Digital Analytics & Insights
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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