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- Tasks: Analyse customer data to enhance journeys and improve service experiences.
- Company: Join DataCareers, a leader in data infrastructure and analytics.
- Benefits: Enjoy a competitive salary, remote work options, and excellent pension contributions.
- Why this job: Shape customer experiences while collaborating with innovative teams in a dynamic environment.
- Qualifications: Experience with SQL, digital analytics tools, and strong communication skills required.
- Other info: This is a 2-year fixed-term contract with opportunities for growth.
The predicted salary is between 31000 - 41000 £ per year.
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This range is provided by DataCareers. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Customer Insights Analyst
2 Year Fixed Term Contract
Location: Home / London (on site 2 days a week)
Salary: £37,000 – £41,000 (+ excellent benefits including 28% pension contributions)
Skills: Data Insights, Data Visualisation (Tableau, Power BI), SQL, Google or Adobe Analytics
Are you passionate about using data to improve customer journeys? Do you enjoy translating complex behavioural insights into clear, actionable strategies? If so, this could be a fantastic next step in your career.
We\’re looking for a Customer Insights Analyst to join a data-led team focused on enhancing customer experience across digital and contact centre channels. You\’ll work at the intersection of data, technology, and customer experience-uncovering trends, identifying opportunities for service improvement, and shaping how customers engage with products and services.
What you\’ll be doing:
- Analyse customer journey data from websites, mobile apps, and call centre platforms to identify key pain points, behaviour patterns, and service trends.
- Combine and interrogate data from multiple sources to provide a holistic view of customer engagement and interaction.
- Create and maintain dashboards and reporting suites using tools such as Power BI, Tableau, or similar.
- Collaborate with digital, CRM, and service design teams to feed insights into service personalisation, campaign targeting, and ongoing customer experience improvements.
- Work with external service delivery partners to define customer data requirements and support continuous optimisation efforts.
- Apply A/B testing and experimentation techniques to support data-led decision making.
What we\’re looking for:
- Strong experience analysing relational databases and performing data mining, using SQL, Python, R or similar.
- Solid background in digital analytics tools such as Google Analytics or Adobe Analytics.
- A strong communicator who can turn data into compelling stories and recommendations for non-technical stakeholders.
- Experience of designing and delivering campaign analysis or customer targeting using behavioural insights.
- Knowledge of A/B testing, journey optimisation, and customer segmentation approaches.
What you\’ll get:
- The chance to shape and influence how customer data is used across a major customer-facing organisation.
- A collaborative team culture with close links to CRM, digital, content, and service design teams.
- Opportunities to innovate, test, and contribute to the evolution of personalised customer services.
Seniority level
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Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Data Infrastructure and Analytics
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Customer Insights Analyst employer: DataCareers
Contact Detail:
DataCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Insights Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Tableau and Power BI. Having hands-on experience or even creating sample dashboards can really set you apart during discussions.
✨Tip Number 2
Brush up on your SQL skills, as this is crucial for analysing relational databases. Consider working on personal projects that involve data mining to showcase your ability to extract insights from complex datasets.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data to improve customer journeys. Think about specific instances where your insights led to actionable strategies, as this will demonstrate your impact.
✨Tip Number 4
Network with professionals in the field of customer insights and analytics. Engaging with industry groups or attending relevant webinars can provide valuable connections and insights that may help you during the interview process.
We think you need these skills to ace Customer Insights Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with SQL, Google Analytics, and data visualisation tools like Tableau or Power BI. Use specific examples to demonstrate your skills in analysing customer journey data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using data to enhance customer experiences. Mention how your background aligns with the job requirements, especially your ability to translate complex data into actionable insights for non-technical stakeholders.
Showcase Your Analytical Skills: Provide examples of past projects where you used A/B testing or customer segmentation techniques. Highlight any successful outcomes that resulted from your data-driven decisions, as this will resonate well with the hiring team.
Prepare for Potential Assessments: Be ready to discuss your analytical approach and problem-solving skills during the interview process. You may be asked to analyse a dataset or present insights, so practice explaining your thought process clearly and concisely.
How to prepare for a job interview at DataCareers
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis tools like SQL, Tableau, and Google Analytics. Bring examples of how you've used these tools to derive insights and improve customer journeys.
✨Communicate Clearly
As a Customer Insights Analyst, you'll need to translate complex data into actionable strategies. Practice explaining your past projects in simple terms, focusing on the impact of your findings on customer experience.
✨Demonstrate A/B Testing Knowledge
Familiarise yourself with A/B testing methodologies and be ready to discuss how you've applied them in previous roles. Highlight any successful experiments that led to improved customer engagement or service optimisation.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you identified pain points in customer journeys and how you approached resolving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
