Data & Analytics Lead

Vector Resourcing; Wilmslow; On-site; GBP 65,000 - 100,000; Full time

Job summary

Vector Resourcing seeks a hands-on Data & Analytics lead to own the day-to-day data and analytics activity, turning data into meaningful KPIs and insights for senior stakeholders. The role starts hands-on (60% delivery, 40% strategy) and grows toward leadership as the function expands.

You'll partner with Finance, IT and the leadership team to shape data strategy, deliver reliable reporting, and drive governance across platforms such as Intelliflo, MoneyInfo, AccountsIQ and Snowflake.

Qualifications

• Hands-on data skills with practical SQL experience.
• Ability to build KPIs and dashboards for senior stakeholders.
• Experience in data migration and system onboarding.

Responsibilities

• Bring together, analyse and interpret data to support decision-making.
• Develop KPIs, dashboards and MI using SQL and Power BI for Finance and Board.
• Perform data cleansing, integration, reconciliation and quality activities.
• Build and maintain data pipelines across multiple systems (Intelliflo, MoneyInfo, AccountsIQ).
• Support integration of newly acquired businesses into existing data processes.
• Lead end-to-end data migrations as the function grows.
• Contribute to the wider data strategy and governance.
• Influence data platform design and future direction.
• Help establish and grow the data function and eventually a data team.

Skills

SQL

Data manipulation

Power BI

Data modelling

DAX

Data pipelines

Data governance

Communication

Snowflake

Financial services data

System onboarding

Tools

Intelliflo

MoneyInfo

AccountsIQ

Microsoft Fabric / Azure

Databricks

Snowflake

Job description

Our client is rapidly expanding and you will be their first dedicated Data & Analytics hire. You’ll have the chance to build the function from the ground up, taking ownership of the day‑to‑day data and analytics activity and turning data from across the business into meaningful KPIs, reporting and insight for senior stakeholders. The role is very hands‑on to begin with (around 60% delivery and 40% strategy), so you’ll be close to the data and have the opportunity to make a real impact, while gradually moving into a more strategic position as the function and team grow. You’ll work closely with Finance, IT and the wider leadership team, with plenty of scope to shape the Group’s data strategy and progress into a leadership role over time.

Responsibilities

• Bring together, analyse and interpret data from across the business to support informed decision‑making.
• Use SQL and Power BI to develop reliable KPIs, dashboards and management reporting for Finance, the Board and external advisers.
• Perform hands‑on data cleansing, integration, reconciliation and data quality activities.
• Build and maintain data pipelines across multiple business systems, including Intelliflo, MoneyInfo and AccountsIQ.
• Support the integration of newly acquired businesses, ensuring their data can be migrated effectively into existing systems and processes.
• Develop a scalable approach to data migration, with responsibility for eventually leading migrations end‑to‑end.
• Contribute to the development of the organisation’s wider data strategy, helping shape how data is managed and used across the business.
• Influence the design and future direction of the data platform and architecture.
• Help establish and develop the data function, with the opportunity to build and eventually lead a data team.

Skills

• Strong, hands‑on data and SQL skills, with a track record of practical data manipulation.
• Genuine depth in Power BI – data modelling and DAX, not just report‑building.
• Experience building and maintaining data pipelines, reconciliation and integrations.
• A track record of producing reporting, KPIs and MI for business and finance stakeholders.
• Sound instincts for data quality and governance.
• The ambition and aptitude to take on a growing strategic remit and, in time, to lead a team.
• A clear communicator who can translate business questions into data, and data into decisions.
• Experience of the Snowflake data platform
• Experience of financial‑services data, ideally in the delivery of financial advice (Intelliflo, platforms, assets under advice and flows, Consumer Duty).
• Experience of data migration or system onboarding.
• Experience of other data platforms (Microsoft Fabric / Azure, Databricks etc)