At a Glance
- Tasks: Lead customer journey analytics initiatives and develop impactful dashboards.
- Company: Join a forward-thinking company focused on enhancing digital customer experiences.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on continuous improvement and innovation.
- Why this job: Make a real difference in how customers interact with digital platforms.
- Qualifications: Experience in customer journey analytics and strong collaboration skills.
The predicted salary is between 45000 - 55000 £ per year.
- Customer Journey Analytics & Experience Measurement Specialist
- Contract Duration: Until the end of the year
- Working Model: Hybrid – 2 days per week in the office
Role Overview
We are seeking an experienced Customer Journey Analytics & Experience Measurement Specialist to support the development and enhancement of customer journey analytics and digital customer experience measurement capabilities.
The successful candidate will work closely with Experience Managers, Product Owners, Data & Analytics teams and Digital Channel teams to define meaningful customer experience measures, identify data and reporting gaps, and develop dashboards and improvement roadmaps.
The role will play a key part in establishing a robust Customer Journey Analytics (CJA) dashboard, improving data quality and tagging, and ensuring that customer experience performance can be effectively measured and optimised across digital journeys.
Key Responsibilities
- Lead and support Customer Journey Analytics (CJA) and digital experience measurement initiatives.
- Define and establish customer experience KPIs, success metrics and measurement frameworks.
- Gather business, customer and technical requirements from key stakeholders.
- Work collaboratively with Experience Managers, Product Owners, Data & Analytics teams and Digital Channel teams.
- Identify gaps and issues relating to data quality, tagging, taxonomy, classification and reporting.
- Partner with analytics and technical teams to improve data collection and measurement capabilities.
- Support the design and development of performance dashboards and reporting solutions.
- Translate customer journey and digital analytics insights into actionable recommendations.
- Create and manage prioritised backlogs of measurement and data improvements.
- Develop improvement roadmaps, prioritising initiatives based on customer impact, business value and data readiness.
- Support continuous improvement of digital customer journeys through analytics and experience measurement.
- Communicate insights, findings, priorities and recommendations clearly to both technical and non-technical stakeholders.
Experience & Skills
- Customer Journey Analytics (CJA), digital analytics, product analytics or customer experience measurement.
- Defining and measuring customer experience KPIs and success metrics.
- Developing dashboards, reporting and performance measurement solutions.
- Working with cross-functional teams including Product, Digital, Data & Analytics and Customer Experience.
- Requirements gathering and translating business needs into analytics and measurement requirements.
- Identifying data quality, tagging, taxonomy, classification and reporting gaps.
- Developing and prioritising backlogs and improvement roadmaps.
- Stakeholder management and communication across multiple business and technical teams.
- Using data and customer insights to identify opportunities for digital experience improvement and optimisation.
Customer Journey Analytics in London employer: Norton Blake
As a leading player in the financial services sector, our company offers an exceptional work environment for Business Analysts in London, combining a hybrid model that promotes flexibility and work-life balance. We prioritise employee growth through continuous training and development opportunities, fostering a culture of collaboration and innovation where your insights directly impact operational excellence. Join us to be part of a dynamic team that values your expertise and supports your career aspirations in a thriving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Journey Analytics in London
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We think you need these skills to ace Customer Journey Analytics in 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Norton Blake. 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 Norton Blake
✨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!
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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 Norton Blake!
✨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.
