Stott and May

Financial Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Financial Data Analyst in London (Hybrid) on a contract until the end of 2026, paying an inside IR35 rate. Key skills include SQL, Snowflake, dbt, and financial data analysis, with experience in financial services preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Datasets #Snowflake #Tableau #Data Analysis #SQL (Structured Query Language) #Data Warehouse #dbt (data build tool) #Microsoft Power BI #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Cloud #Automation
Role description
Management Accounting Data Analyst Location: London (Hybrid) Contract: Inside IR35 Duration: Until the end of 2026, with a strong possibility of extension The Role We are working with a leading international organisation operating across multiple markets, with established technology and data teams across the world. They are looking for a Senior Management Accounting Data Analyst to support the analysis and reporting of financial data across several different datasets. This is a hands-on role for someone who can work independently, understand the financial context behind the data and take ownership of problems through to resolution. You will work closely with finance, accounting and data teams, helping to turn complex financial information into accurate, meaningful analysis and reporting. The successful candidate will be comfortable working across different datasets and stakeholders, with the confidence to make decisions and find solutions without significant day-to-day guidance. Responsibilities • Analyse and interpret financial and accounting data across multiple datasets and reporting areas. • Work closely with finance, accounting and data teams to understand requirements and deliver accurate analytical outputs. • Support management reporting, financial analysis, variance analysis and performance reporting. • Extract, transform and analyse data using SQL and modern data platforms. • Build and maintain reporting, dashboards and analytical outputs for finance and business stakeholders. • Identify data-quality issues, investigate discrepancies and implement practical solutions. • Support the improvement and automation of existing reporting and data processes. • Translate complex financial data into clear insights that can support business and management decisions. • Take ownership of assigned work, resolving issues independently and managing priorities without significant supervision. • Contribute to the development and improvement of data models, reporting processes and analytical practices. Essential Skills & Experience • Strong experience working as a Data Analyst, Financial Data Analyst, Management Accounting Analyst or similar role. • Hands-on experience with Snowflake. • Strong experience with dbt and modern data transformation practices. • Strong understanding of financial and accounting data, including areas such as P&L, costs, budgets, actuals and variance analysis. • Strong SQL skills with experience extracting, transforming and analysing complex datasets. • Proven experience working with large or varied datasets and investigating data discrepancies. • Strong Excel skills and experience producing financial or management reporting. • Experience with BI and reporting tools such as Power BI, Tableau or similar. • Ability to work independently, take ownership and resolve problems without relying heavily on others. • Strong communication skills, with the ability to work effectively with finance, data and technology stakeholders. • Experience working within distributed or international teams. Highly Desirable • Previous experience working within a financial services, finance, accounting or data-driven environment. • Experience working with cloud-based data platforms and modern data warehouses. • Understanding of data modelling, transformation and reporting pipelines. • Experience working across multinational teams