Data Analyst

VirtueTech Recruitment Group; Greater London; Hybrid; GBP 108,000 - 132,000; Full time

Job summary

VirtueTech Recruitment Group is recruiting on behalf of a leading global asset manager for a Data Analyst in London. The role collaborates with business, risk and compliance teams to drive data-enabled decision making.

You will join the Data Centre of Excellence to bridge business and data-technical experts, supporting data acquisition, governance and BI analytics. Hybrid work with three days in the office near Liverpool Street, salary up to £120,000 + bonus and benefits.

Qualifications

• Strong data modelling, cleansing, enrichment and standardisation.
• Able to communicate data issues and recommendations to technical and non-technical stakeholders.
• Experience with data governance and data quality initiatives.

Responsibilities

• Analyse data sourcing, lineage and data flows with stakeholders to capture and maintain accurate data.
• Support migration of legacy data warehouses to a strategic platform with business users and tech teams.
• Analyse transactional and analytical data sources; gather reporting needs and resolve data issues.
• Validate semi-structured file extracts with data providers to meet reporting requirements.
• Model data to define metrics and data definitions aligned with business objectives.

Skills

Data modelling

Data cleansing

Data enrichment

Data standardisation

Data governance

Agile

Stakeholder management

Tools

Power BI

SQL Server

Job description

A leading global asset manager, responsible for assets under management across liability driven investment (LDI), cashflow-driven investing (CDI) and longevity hedging, currency management, fixed income, absolute return, multi-asset and specialist investment strategies. They are looking to add to their Data team by hiring a data person who integrates closely with the business, coming from a financial services / Trading House background with knowledge around Risk, regulations, Compliance, Trade Surveillance etc...

This candidate will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Investment Management House make use of their data to help make investment and risk decisions.

You will be responsible for proactively managing aspects of the data acquisition and commercial lifecycle to create P&L-impacting value for the investment business. Specifically within compliance, understanding the data needed from the business to make decisions, bridging the gap between the Business & Data technical experts.

The salary on offer for this Data Analyst Role, is up to £120,000 + Bonus and Benefits package.

The company works a hybrid model, with 3 days per week in the office, close to major tube stations including Liverpool Street.

• Analyse clearing data sourcing, data lineage, and how data flows across the organisation, working closely with business stakeholders, risk teams, and data owners to understand requirements and ensure data is accurately captured and maintained.
• Support the migration of legacy data warehouses to a strategic data platform, collaborating with business users, project managers, and technical teams to gather requirements, map data, and facilitate a smooth transition.
• Analyse normalised transactional and analytical data sources, engaging with stakeholders to understand reporting needs, investigate data issues, and provide insights that support business decision-making.
• Analyse semi-structured and file-based data extracts, liaising with data providers and business users to validate data quality, resolve discrepancies, and ensure reporting requirements are met.
• Perform data modelling activities to transform operational data into reporting and analytical structures, working with business stakeholders to define metrics, reporting requirements, and data definitions that align with business objectives.

Essential Skills for Analyst:

• Strong experience in data modelling, cleansing, enrichment, and standardisation, with the ability to communicate data-related issues and recommendations to both technical and non-technical stakeholders.
• Advanced SQL Server database skills, including querying, analysis, troubleshooting, and supporting business users with data investigations and reporting requirements.
• Good understanding of data warehousing concepts and analytical data structures, with experience translating business requirements into scalable data solutions.
• Experience performing data quality assurance, validation, and data linkage activities, partnering with stakeholders to improve data governance and data integrity.
• Experience building BI models and dashboards, ideally using Power BI, and presenting insights and findings to stakeholders in a clear and meaningful way.
• Experience working within Agile delivery environments, participating in workshops, sprint planning, backlog refinement, user story creation, UAT support, and stakeholder engagement throughout the project lifecycle.
• Strong stakeholder management and communication skills, with the ability to gather requirements, facilitate discussions, manage expectations, and act as a bridge between business and technical teams.