At a Glance
- Tasks: Transform data into actionable insights to enhance customer engagement and retention.
- Company: Join a forward-thinking company focused on customer optimisation and data-driven strategies.
- Benefits: Enjoy 25 days holiday, generous discounts, and comprehensive well-being support.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by driving smarter decisions and uncovering opportunities.
- Qualifications: Experience in data analysis and familiarity with SQL, Power BI, and Excel.
The predicted salary is between 30000 - 40000 £ per year.
As a Customer Optimisation Analyst, you’ll play a pivotal role in transforming data into meaningful, actionable insight that shapes how we connect with our customers. You will drive smarter decisions, uncover opportunities, and influence strategies that enhance customer engagement, experience, and retention. In this position you’ll work closely with the Customer Optimisation Manager and wider team to explore customer and operational data, identify emerging trends, and turn complex information into clear, compelling stories that drive performance.
Responsibilities
- Support the analysis of customer and operational datasets to help identify trends, patterns and opportunities.
- Help prepare clear summaries and insight packs for internal stakeholders.
- Work with the team to understand business questions and support the development of appropriate analysis.
- Support the development and automation of dashboards and reports (e.g., Power BI, Excel).
- Present findings in a clear and accessible way to non‑technical audiences.
- Monitor key performance indicators (KPIs) and produce regular performance summaries.
- Extract and manipulate data from databases and internal systems (SQL).
- Support data accuracy, integrity and consistency across reporting sources.
- Support data quality initiatives and contribute ideas to improve data processes.
- Work with colleagues to understand information needs and requirements.
- Participate in cross‑functional projects to support analytical and operational needs.
- Communicate analysis and findings in a clear, user‑friendly format.
- Contribute to automation initiatives that reduce manual workload.
Success in the Role
- Reports and dashboards are maintained to a high standard, providing accurate and reliable information.
- Insights and analysis data is produced in a timely manner, aligned to business requirements.
- Make a notable contribution to team reporting, data quality and process improvement activities.
- Follow agreed processes and identify potential issues or improvements.
Qualifications
- Academic, placement, internship or project experience involving data analysis.
- Familiarity with relevant systems such as SQL Server, Power BI, Microsoft Office Suite, Power Query, Power Automate and Salesforce.
- Understanding of statistical concepts and analytical methods.
- Experience or demonstrable understanding of working with large, complex datasets.
- Knowledge of B2B industry sectors such as Energy, Water, Telecoms, Insurance, Payments or Funding is advantageous but not essential.
Skills
- Strong IT capabilities including working knowledge of SQL, data visualisation tools (e.g., Power BI) and advanced Excel (Power Query, formulas, pivot tables).
- Good analytical and problem‑solving skills with a willingness to learn and develop.
- Excellent attention to detail and data accuracy.
- Ability to explain insights and analysis in clear, simple terms.
- Strong organisational and time‑management skills.
- Collaborative mindset and effective communication skills.
Benefits
- Pension contributions and life assurance coverage.
- Generous discounts at numerous retailers.
- 25 days holiday, increasing to 28 days through length of service.
- Birthday off each year.
- Option to purchase up to 10 additional holidays and sell up to 5 days per year.
- Cycle to work and travel loans for greener commute.
- Comprehensive well‑being support, including 24/7 GP access, mental health assistance, fitness programmes and legal/financial advice.
All successful candidates will be subject to pre‑employment checks.
Customer Optimisation Analyst in Sale employer: Verastar
As a Customer Optimisation Analyst, you will thrive in a dynamic work environment that values data-driven insights and fosters collaboration. Our company offers a supportive culture with ample opportunities for professional growth, alongside generous benefits such as 25 days of holiday, well-being support, and discounts at various retailers. Located in a vibrant area, we encourage innovation and creativity, making it an excellent place for those looking to make a meaningful impact in customer engagement and experience.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Optimisation Analyst in Sale
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Verastar.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Verastar a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Verastar.
We think you need these skills to ace Customer Optimisation Analyst in Sale
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Verastar
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Verastar. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Verastar specifically. Let your motivation shine through!
