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- Tasks: Analyse customer data to enhance journeys and improve service experiences.
- Company: Join a leading organisation focused on customer experience and data-driven insights.
- Benefits: Enjoy remote work options, excellent pension contributions, and a collaborative team culture.
- Why this job: Shape customer engagement strategies while working with innovative tools and teams.
- Qualifications: Experience in SQL, data visualisation, and digital analytics is essential.
- Other info: This is a 2-year fixed-term contract with opportunities for personal growth.
The predicted salary is between 29000 - 33000 £ per year.
Customer Insights Analyst
2 Year Fixed Term Contract
Location: Home / Durham (on site 2 days a week)
Salary: £34,000 – £38,000 (+ 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.
- Excellent data visualisation skills using Power BI, Tableau or similar platforms.
- 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.
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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. Consider creating a personal project or portfolio that showcases your data visualisation skills using these platforms, as this will demonstrate your practical experience during interviews.
✨Tip Number 2
Brush up on your SQL skills, as strong experience in analysing relational databases is crucial for this role. You could practice by working on sample datasets or contributing to open-source projects that require data analysis.
✨Tip Number 3
Engage with online communities or forums related to customer insights and analytics. Networking with professionals in the field can provide valuable insights and potentially lead to referrals or recommendations for the position.
✨Tip Number 4
Prepare to discuss your experience with A/B testing and customer segmentation during interviews. Think of specific examples where you've applied these techniques to improve customer journeys, as this will highlight your relevant expertise.
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, customer insights, and the specific tools mentioned in the job description, such as SQL, Power BI, and Google Analytics. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using data to enhance customer journeys. Provide examples of how you've successfully translated complex data into actionable strategies in previous roles, showcasing your communication skills.
Showcase Your Data Visualisation Skills: Include examples of dashboards or reports you've created using tools like Tableau or Power BI. If possible, provide links to online portfolios or projects that demonstrate your ability to present data visually and tell a story with it.
Highlight Collaborative Experience: Emphasise any experience you have working with cross-functional teams, particularly in digital, CRM, or service design. Mention specific projects where your insights contributed to service improvements or campaign targeting.
How to prepare for a job interview at DataCareers
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL, Python, or R. Bring examples of how you've used these tools to analyse customer data and derive insights that led to actionable strategies.
✨Demonstrate Visualisation Expertise
Familiarise yourself with Power BI and Tableau. During the interview, be ready to explain how you’ve created dashboards or reports that effectively communicate complex data in a clear and engaging way.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. The ability to turn data into compelling stories for non-technical stakeholders is crucial, so think of examples where you've successfully done this.
✨Prepare for Scenario Questions
Expect questions about A/B testing and customer journey optimisation. Prepare to discuss specific scenarios where you've applied these techniques and the outcomes they produced.
