

FDM Group
Senior Data Analyst - London
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst on a 12-month contract in London, offering a competitive pay rate. Requires 5+ years in data analytics within finance, expertise in SQL, Python, Tableau, and strong problem-solving skills.
🌎 - Country
United Kingdom
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 8, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Data Management #Storytelling #Data Cleaning #Statistics #Mathematics #SQL (Structured Query Language) #Python #Datasets #Data Quality #"ETL (Extract #Transform #Load)" #Quality Assurance #Visualization #Data Analysis #Compliance #Computer Science #Scala #Tableau #Metadata #Agile #Data Governance
Role description
About The Role
We are seeking a Senior Data Analyst to join our client's Data & Analytics team. This role is ideal for someone with a strong technical foundation, a passion for solving complex problems, and a deep understanding of financial and client behavioural data. You will be responsible for delivering high-impact data analysis, automating reporting processes, and implementing scalable solutions that support strategic decision-making across financial advisory services that support their UK and European businesses. This role is a 12 month contract, operating on a hybrid basis from the client's London office.
Key Responsibilities
Executive level story telling & reporting to influence strategic decisions.
Perform advanced data analysis to uncover insights across financial, sales, and client behavioral datasets.
Design and implement scalable data solutions and automated reporting workflows.
Develop models and dashboards that track client engagement, sales performance, and behavioral trends.
Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
Ensure data quality through validation, reconciliation, and transformation of structured and unstructured data.
Document processes and create user-friendly guides for automated tools and reports.
Mentor junior analysts and contribute to team knowledge sharing.
About You
Minimum 5+ years of data analytics experience in investment management, finance, or a related domain.
A quantitative degree (e.g., Mathematics, Statistics, Computer Science, Engineering, Finance) is a plus.
Solid understanding of financial instruments, portfolio analytics, and performance reporting is a plus.
Ability to translate business needs into technical solutions.
Technical Skills
Expert Proficiency in SQL and Python for managing unstructured data, cleaning, visualization, storytelling at executive level, statistical analysis & model development
Expert level Tableau and PowerBI for seamless storytelling, visualisations & user experience at executive level
Analytical and Problem-Solving Skills
Strong critical thinking and problem-solving abilities.
Ability to assess the full scope of a problem and develop scalable, maintainable solutions.
Focus on best practices, code efficiency, and pipeline optimization.
Experience in data quality assurance, validation, and reconciliation.
Ability to work with unstructured or semi-structured data and transform it into usable formats.
Experience analyzing client behavioral data, including segmentation, engagement metrics, and conversion analysis.
Collaboration and Communication
Strong stakeholder collaboration skills to gather requirements and align on deliverables.
Effective communication to explain technical solutions to non-technical stakeholders.
Ability to document processes and create user-friendly guides for automated tools.
Experience working in cross-functional teams (e.g., Finance, Technology, Sales, Marketing, Data).
Additional Highly Desirable Attributes
Develop SQL/Python scripts to automatically standardize and format complex, unstructured Excel files into clean, report-ready datasets.
Replace manual reporting processes with scalable, automated workflows that improve accuracy and efficiency for the finance team.
Experience with Agile methodologies or working in a product-oriented environment.
Familiarity with data governance, metadata management, and compliance.
Ability to mentor junior analysts or contribute to team knowledge sharing.
Comfortable working in a fast-paced, high-stakes environment with tight deadlines.
About Us
We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 2,500 Employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.
Diversity and Inclusion
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
Why join us
Career coaching, mentoring and access to upskilling throughout your entire FDM career
Assignments with global companies and opportunities to work abroad
Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
Annual leave and work-place pension
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About The Role
We are seeking a Senior Data Analyst to join our client's Data & Analytics team. This role is ideal for someone with a strong technical foundation, a passion for solving complex problems, and a deep understanding of financial and client behavioural data. You will be responsible for delivering high-impact data analysis, automating reporting processes, and implementing scalable solutions that support strategic decision-making across financial advisory services that support their UK and European businesses. This role is a 12 month contract, operating on a hybrid basis from the client's London office.
Key Responsibilities
Executive level story telling & reporting to influence strategic decisions.
Perform advanced data analysis to uncover insights across financial, sales, and client behavioral datasets.
Design and implement scalable data solutions and automated reporting workflows.
Develop models and dashboards that track client engagement, sales performance, and behavioral trends.
Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
Ensure data quality through validation, reconciliation, and transformation of structured and unstructured data.
Document processes and create user-friendly guides for automated tools and reports.
Mentor junior analysts and contribute to team knowledge sharing.
About You
Minimum 5+ years of data analytics experience in investment management, finance, or a related domain.
A quantitative degree (e.g., Mathematics, Statistics, Computer Science, Engineering, Finance) is a plus.
Solid understanding of financial instruments, portfolio analytics, and performance reporting is a plus.
Ability to translate business needs into technical solutions.
Technical Skills
Expert Proficiency in SQL and Python for managing unstructured data, cleaning, visualization, storytelling at executive level, statistical analysis & model development
Expert level Tableau and PowerBI for seamless storytelling, visualisations & user experience at executive level
Analytical and Problem-Solving Skills
Strong critical thinking and problem-solving abilities.
Ability to assess the full scope of a problem and develop scalable, maintainable solutions.
Focus on best practices, code efficiency, and pipeline optimization.
Experience in data quality assurance, validation, and reconciliation.
Ability to work with unstructured or semi-structured data and transform it into usable formats.
Experience analyzing client behavioral data, including segmentation, engagement metrics, and conversion analysis.
Collaboration and Communication
Strong stakeholder collaboration skills to gather requirements and align on deliverables.
Effective communication to explain technical solutions to non-technical stakeholders.
Ability to document processes and create user-friendly guides for automated tools.
Experience working in cross-functional teams (e.g., Finance, Technology, Sales, Marketing, Data).
Additional Highly Desirable Attributes
Develop SQL/Python scripts to automatically standardize and format complex, unstructured Excel files into clean, report-ready datasets.
Replace manual reporting processes with scalable, automated workflows that improve accuracy and efficiency for the finance team.
Experience with Agile methodologies or working in a product-oriented environment.
Familiarity with data governance, metadata management, and compliance.
Ability to mentor junior analysts or contribute to team knowledge sharing.
Comfortable working in a fast-paced, high-stakes environment with tight deadlines.
About Us
We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 2,500 Employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.
Diversity and Inclusion
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
Why join us
Career coaching, mentoring and access to upskilling throughout your entire FDM career
Assignments with global companies and opportunities to work abroad
Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
Annual leave and work-place pension
Share Vacancy on Facebook
Share Vacancy on X
Share Vacancy on LinkedIn
Share Vacancy on WhatsApp
Send Vacancy to a friend