Customer Optimisation Analyst

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. #J-18808-Ljbffr