Data Analyst

Oscar; United Kingdom; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A leading financial services organization is seeking a skilled Data Analyst in Bristol. The role involves transforming complex data into actionable insights, developing reports and visualizations, and supporting various business functions. Ideal candidates will have proficiency in SQL and experience in financial services, with excellent analytical and communication skills. This position offers a hybrid working model and competitive salary ranging from £45,000 to £55,000 plus benefits.

Benefits

Generous pension contribution

Health and wellbeing benefits, including private medical

Extensive learning and development support

Qualifications

• Proven experience as a Data Analyst, ideally within financial services.
• Strong analytical skills to interpret and manipulate large datasets.
• Communication skills to translate complex data for non-technical audiences.

Responsibilities

• Extract, clean and analyse large datasets to identify key insights.
• Develop dashboards and reports using visualization tools.
• Provide support across Finance, Risk, Operations and Customer functions.

Skills

Analytical skills

Problem-solving

SQL proficiency

Data visualization (Power BI, Tableau)

Communication skills

Attention to detail

Education

Degree in STEM, finance or data-related discipline

Tools

Power BI

Tableau

SQL

Python or R

Job description

Title: Data Analyst

Location: Bristol (Hybrid 2-3 Days in office)

Sector: Financial Services

Salary: £45,000 - £55,000 DOE + Excellent Benefits

About the Company

Our client is a leading organisation within the financial services industry, headquartered in Bristol and recognised for their commitment to innovation, data-driven decision-making and exceptional customer service. As the business continues to grow, they are seeking a skilled Data Analyst to join their expanding analytics function.

Role Overview

As a Data Analyst, you will play a crucial role in transforming complex data into actionable insights that support strategic and operational decision-making across the business. You’ll work with large datasets, financial products, customer data and performance metrics to help shape the organisation’s direction and enhance its competitive edge.

Key Responsibilities

• Extract, clean and analyse large datasets to identify trends, patterns and key insights.
• Develop dashboards, visualisations and reports using tools such as Power BI, Tableau or similar.
• Provide analytical support to teams across Finance, Risk, Operations and Customer functions.
• Work closely with stakeholders to understand business problems and translate them into data-driven solutions.
• Ensure all data outputs meet regulatory expectations and are accurate, compliant and aligned with internal governance standards.
• Support the development of data models and forecasting tools to enhance planning and performance analysis.
• Present findings and recommendations to senior leaders in a clear, concise and commercially focused manner.
• Contribute to ongoing improvements in data quality, data governance and reporting processes.

Skills & Experience Required

• Proven experience as a Data Analyst, ideally within financial services, banking, insurance, pensions or fintech.
• Strong analytical and problem-solving skills, with the ability to interpret and manipulate large datasets.
• Proficiency in SQL is essential; experience with Python or R is advantageous.
• Experience with data visualisation tools (Power BI, Tableau, Qlik or similar).
• Strong understanding of data governance, reporting standards or FCA-regulated environments.
• Excellent communication skills, with the ability to translate complex data into simple, actionable insights for non-technical audiences.
• High attention to detail and a methodical approach to data validation and quality assurance.
• Degree in a STEM, finance or data-related discipline preferred.

Benefits

• £45,000 - £55,000 DOE
• Hybrid working (2–3 days per week office)
• Generous pension contribution
• Health and wellbeing benefits, including private medical
• Extensive learning and development support, including data certifications
• Collaborative culture with opportunities to influence business performance