At a Glance
- Tasks: Own and optimise the digital customer journey to boost conversion rates and enhance customer experience.
- Company: Award-winning organisation focused on customer-first digital products with global reach.
- Benefits: Up to £60,000 salary, remote work, and clear progression opportunities.
- Other info: Join a high-performing team in a fast-paced, innovative environment.
- Why this job: Make a real impact by shaping conversion strategies across multiple brands.
- Qualifications: Experience in conversion rate optimisation and data-driven experimentation.
The predicted salary is between 55000 - 65000 £ per year.
This is an opportunity to take ownership of the end to end digital customer journey within a high performing, data driven environment. You will play a key role in shaping conversion strategy across multiple established consumer brands, working at the intersection of commercial performance, experimentation, and customer experience.
The Company
They are a leading, award winning organisation, known for delivering customer first digital products at scale. With an expanding international footprint and a strong presence across multiple markets, they are continuing to invest in innovation and optimisation.
The Role
- Own and optimise the full digital customer journey, driving improvements in conversion rate, revenue, and overall customer experience.
- Define and deliver a data led experimentation and CRO roadmap across multiple brands and markets.
- Use analytics, user testing, and behavioural insights to identify opportunities and prioritise high impact initiatives.
- Lead A/B testing and experimentation programmes, working closely with engineering, UX, and product teams.
- Collaborate cross functionally to deliver personalisation and optimisation initiatives across digital platforms.
- Develop and report on key CX and performance metrics, presenting insights and recommendations to senior stakeholders.
- Champion a culture of experimentation and continuous improvement, leveraging emerging technologies including AI.
Your Skills & Experience
- Strong commercial experience in conversion rate optimisation, customer experience, or digital product optimisation.
- Proven ability to deliver data driven experimentation strategies that improve performance metrics.
- Hands on experience with tools such as Google Analytics, AB Tasty, Optimizely, VWO, or similar platforms.
- Solid understanding of front end implementation, tagging, experimentation architecture, and UX principles.
- Experience working in fast paced, digital first environments such as financial services, insurance, or agency.
- Strong stakeholder management skills with the ability to influence across technical and non technical teams.
What They Offer
- Competitive salary of up to £60,000.
- Predominantly remote working with occasional London office collaboration.
- Opportunity to work across multiple brands and international markets.
- A collaborative, high performing team with strong growth ambitions.
- Clear opportunities for progression and ownership within a growing function.
How to Apply
If you are interested in driving meaningful impact through experimentation and customer experience optimisation, apply now to find out more.
Manager - Digital and Data in City of London employer: Harnham
As a leading, award-winning organisation, this company offers an exceptional work environment that prioritises innovation and employee growth. With a predominantly remote working model and a collaborative culture, employees have the opportunity to shape the digital customer journey across multiple brands while enjoying clear pathways for career progression and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Manager - Digital and Data in City of London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
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We think you need these skills to ace Manager - Digital and Data in City of London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
