At a Glance
- Tasks: Lead digital tagging efforts and ensure accurate event data collection using Google Tag Manager.
- Company: Join Hargreaves Lansdown PLC, a leader in financial services with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on privacy and continuous improvement.
- Why this job: Make a real impact by enhancing data quality and driving analytics for a leading company.
- Qualifications: Experience with Google Tag Manager and a passion for data-driven decision making.
The predicted salary is between 63000 - 77000 £ per year.
Hargreaves Lansdown PLC is seeking a Digital Tagging Manager to drive accurate event data collection across HL’s digital front ends using Google Tag Manager. You will translate tracking requirements into robust GTM implementations supporting analytics, experimentation, and advertising use cases.
You will work closely with the Digital Analytics and Data Activation teams, ensure privacy-by-design, and maintain data quality through testing, QA, and validation while continuously seeking improvements.
GTM & Digital Analytics Lead in Bristol 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 GTM & Digital Analytics Lead in Bristol
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We think you need these skills to ace GTM & Digital Analytics Lead in Bristol
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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