Customer Optimisation Analyst in Sale

Customer Optimisation Analyst in Sale

Sale Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Clear Business

At a Glance

  • Tasks: Transform data into actionable insights to enhance customer engagement and retention.
  • Company: Join a dynamic team focused on customer optimisation and data-driven strategies.
  • Benefits: Enjoy 25 days holiday, discounts, well-being support, and flexible working options.
  • Other info: Collaborative environment with opportunities for skill development and career growth.
  • Why this job: Make a real impact by blending data, technology, and commercial thinking.
  • 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. Sitting at the heart of the Customer Optimisation team, you’ll help drive smarter decisions, uncover opportunities, and influence strategies that enhance customer engagement, experience, and retention. This is a fantastic opportunity for someone who is curious, analytical, and eager to make an impact. 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. From building and enhancing dashboards to supporting automation initiatives, you’ll be at the forefront of improving how insights are delivered across the business. Your work will directly contribute to optimising customer contact strategies and ensuring teams have the data they need to make confident, informed decisions. If you’re excited by the idea of blending data, technology, and commercial thinking in a fast‑paced, collaborative environment, this role offers the perfect platform to develop your skills and grow your career in analytics.

What We Want You To Do

  • 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, with support from the Customer Optimisation Manager.
  • 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.

What Success In The Role Looks Like

  • Reports and dashboards are maintained to a high standard, providing accurate and reliable information.
  • Insights and analysis data are produced, with guidance, in a timely manner, aligned to business requirements.
  • Notable contribution to team reporting, data quality and process improvement activities.
  • Ability to follow agreed processes and identify potential issues or improvements.

What You Need To Have Already Done To Be Right For This Role

  • Academic, placement, internship or project experience involving data analysis would be advantageous.
  • Familiarity of 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.
  • Understanding of B2B industry or sectors such as Energy, Water, Telecoms, Insurance, Payments or Funding is advantageous but not essential.

Skills

  • Strong IT capabilities including working knowledge of SQL, exposure of data visualisation tools (e.g., Power BI) and advanced Excel capability (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 high street and online retailers.
  • 25 days holiday, increasing to 28 days through length of service.
  • Enjoy your birthday off every year.
  • Purchase up to 10 additional holidays and sell up to 5 days per year.
  • Cycle to work and travel loans for people wanting a greener commute.
  • Comprehensive well‑being support, including round‑the‑clock access to a GP, mental health assistance, fitness programs, and complimentary legal and financial advice.

Customer Optimisation Analyst in Sale employer: Clear Business

Clear Business is an exceptional employer that prioritises the growth and well-being of its employees, offering a vibrant work culture where careers flourish. With flexible working options, a transparent rewards structure, and comprehensive benefits including generous holiday allowances and well-being support, employees are empowered to thrive both personally and professionally. Located in the UK, Clear Business fosters a collaborative environment that encourages continuous learning and development, making it an ideal place for those seeking meaningful and rewarding employment.

Clear Business

Contact Details:

Clear Business Recruitment Team

We think you need these skills to ace Customer Optimisation Analyst in Sale

Data Analysis
SQL
Power BI
Microsoft Excel
Power Query
Power Automate
Salesforce