Graduate Insights Analyst
2 days ago
Manchester
This is an excellent opportunity to start your analytics career within a large, well-established financial services organisation that has invested heavily in its data and analytics capability. Data sits at the heart of decision-making, and the business has a strong track record of developing analysts from graduate level through to senior roles. The team sits within a newly formed Retail Pricing & Analytics function, which is growing and evolving. Once fully staffed, the wider analytics group will be around 20 people, offering strong peer support, mentoring, and long-term progression. Manchester - Hybrid (2 days in office, moving to 3 by end of year)Salary: £30,000 Where you'll sit • Part of a Retail Pricing & Analytics function, • Embedded in one of four core Retail teams:, • Risk & regulatory reporting, • Service / operations & complaints, • Claims data & insight, • Performance / trading analytics, • Working closely with senior analysts, managers, and an advanced analytics function (data science-led) Most of your work will be outside of Power BI. The focus is on understanding business questions, breaking them down logically, preparing and structuring data, and writing code to reach a solution. Power BI is then used to tell the story rather than do all the heavy lifting. What you'll be doing • Working with business stakeholders to understand reporting and insight needs, • Breaking down ambiguous or complex problems into clear, logical steps, • Manipulating and preparing data using Python (Databricks environment), • Working within existing DevOps code repositories, • Contributing to a trusted "gold layer" of standardised data, • Producing insight that feeds into Power BI dashboards, • Partnering closely with senior analysts and managers for learning and developmentWhat they're looking forCore requirements (critical), • Strong logical reasoning and problem-solving skills, • Degree in a numerical or analytical subject, such as:, • Maths, • Physics, • Engineering, • Economics, • Similar disciplines, • Some exposure to coding or statistics:, • Python preferred, • R or MATLAB acceptable from degree work, • Ability to explain how you would approach a problem, not just write code, • Internships, placements, or relevant work experience, • Experience working with multiple datasets, • Take simple business requests and understand the data behind them, • Begin building coding solutions with support from senior team members, • Use Power BI to communicate insight clearly, • Show steady improvement in:, • logical thinking, • coding confidence, • business understandingTraining & development, • Structured training in Python and Power BI, • On-the-job domain learning, • Buddy system within the team, • Access to certifications and learning resources, • Demonstrated, realistic progression pathsLocation & culture, • Manchester-based role, • Hybrid working:, • Currently 2 days per week in office, • Moving to 3 days by end of year, • No fixed days - flexible, • Young, social office with many graduates and junior analysts, • Many choose to come into the office more than required, • Occasional fully-expensed travel to a second UK office (roughly quarterly, usually social)Why apply, • Strong, recognisable financial services organisation, • Genuine graduate development culture, • Managers who progressed internally, • Analytics role focused on thinking and problem-solving, not just dashboards, • Collaborative, supportive team environment, • Clear long-term career opportunities