At a Glance
- Tasks: Transform data into actionable insights and develop customer reports for various industries.
- Company: Dynamic company focused on AI and customer insights with a collaborative culture.
- Benefits: Competitive salary, great benefits, remote work, and opportunities for professional growth.
- Other info: Exciting role with opportunities to work on innovative AI projects and enhance your career.
- Why this job: Make an impact by leveraging data to drive business decisions and improve customer experiences.
- Qualifications: Strong analytical skills, experience with reporting tools, and a passion for data-driven insights.
The predicted salary is between 30000 - 33000 £ per year.
Contract: full-time & permanent
Location: UK - WFH with travel to United Kingdom sites as required
Salary: £30,000 - £33,000 DOE
Great Benefits
Role Overview
The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities.
- The successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement.
- The role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation.
Key Responsibilities
- Design and develop the UK & Ireland Customer Insight as a Service proposition.
- Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector.
- Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities.
- Translate complex datasets into clear business insights and executive level recommendations.
- Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios.
- Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives.
- Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks.
- Develop executive dashboards measuring AI performance across all deployed AI products.
- Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms.
- Consolidate reporting from various technology providers into a single executive reporting framework.
- Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities.
- Ensure data quality and reporting accuracy across all AI performance metrics.
- Conduct post-implementation reviews for AI and digital transformation projects.
- Measure operational improvements against agreed business cases and success metrics.
- Quantify financial benefits including productivity improvements, cost savings and efficiency gains.
- Identify lessons learned and recommend optimisation opportunities following deployment.
- Produce benefit realisation reports for executive stakeholders.
- Identify opportunities to improve reporting automation and analytical capability.
- Explore new AI and analytics tools that enhance reporting and insight generation.
- Support the wider Digital Products & Transformation team with analytical expertise.
- Promote best practice in data visualisation, reporting and business intelligence.
Core Skills
- Strong analytical skills with experience interpreting large operational datasets.
- Experience creating dashboards, reports and business intelligence solutions.
- Advanced Microsoft Excel skills.
- Experience with Power BI, Tableau or similar visualisation platforms.
- Strong understanding of KPI development and performance reporting.
- Ability to translate complex analysis into clear commercial recommendations.
- Experience producing executive-level reports and presentations.
- Strong problem-solving and critical thinking capability.
- Excellent attention to detail and analytical accuracy.
- Understanding of AI performance metrics and benefit measurement.
- Ability to work with multiple technology platforms and reporting sources.
Desired Skills
- Experience working within a BPO, contact centre or customer operations environment.
- Experience producing customer journey or customer behaviour analysis.
- Knowledge of AI products such as conversational AI, Agent Assist and automation platforms.
- Experience with SQL or other data querying tools.
- Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms.
- Experience conducting benefits realisation or ROI assessments.
- Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer.
- Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline.
- Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst in Bristol employer: Teleperformance
At Aviva, we pride ourselves on being an exceptional employer, offering a supportive work-from-home environment that prioritises employee wellbeing and professional growth. With comprehensive training, flexible working hours, and a range of benefits including mental health support and a cycle-to-work scheme, we empower our Customer Service Specialists to thrive while delivering outstanding service to our customers. Join us in a culture that values collaboration, emotional intelligence, and continuous improvement, making every day at Aviva a rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land Customer and AI Insight Analyst in Bristol
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We think you need these skills to ace Customer and AI Insight Analyst 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!
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 Teleperformance, 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 Teleperformance. 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 Teleperformance
✨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 Teleperformance!
✨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.
