Data, Analytics & AI Careers: Shape the Future of Insight-Driven Transformation

What We Do

In today’s digital landscape, data is the foundation of intelligent decision-making, operational efficiency and large-scale transformation. Organisations rely on data specialists to drive innovation, unlock insights, deliver automation and power AI-enabled change.

We connect Data, Analytics and AI professionals with outstanding opportunities across high-growth and transformation-focused businesses. These organisations trust us to find talent capable of designing data strategies, improving data quality, enabling integration, and building the advanced analytics and AI capabilities that underpin modern digital operations.

We place candidates into roles such as:

• Data Migration Lead / Analyst

• Data Governance Lead

• Data Integration Lead

• Data Project Manager

• Data Engineer

• MDM Lead / Analyst

• Head of Data

• Head of Data & Insight

• BI Manager / Power BI Developer

• AI Specialists

If you’re looking to progress your career in data, analytics or AI, we support you with insight, market guidance and access to impactful roles across the UK.

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Frequently Asked Questions 

1. What types of Data, Analytics & AI roles can I apply for?

We recruit across data strategy, governance, engineering, BI, analytics, MDM, migration, integration, insight leadership and AI specialisms.

Roles include:
Data Lead, Data PM, Data Engineer, BI Developer, Governance Lead, MDM Specialist, Head of Data, Data Migration Analyst, Power BI Developer and more.

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2. What skills are important for a career in Data, Analytics & AI?

Depending on your specialism, key skills may include:

• SQL, Python, R or similar languages

• experience with cloud platforms (Azure, AWS, GCP)

• data modelling and data warehousing

• ETL/ELT and integration tooling

• BI tools (Power BI, Tableau, Qlik)

• MDM, data quality and governance frameworks

• AI/ML exposure for more advanced roles

• strong analytical and problem-solving ability

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3. Do I need experience in AI to be considered for data roles?

Not necessarily.
Most Data Transformation projects focus on:

• migration

• governance

• quality

• integration

• insight reporting

AI exposure is a bonus, but not essential for many roles.
There is a clear pathway from data and analytics roles into more AI-focused positions over time.

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4. What types of projects will I work on?

Typical programmes include:

• enterprise data migrations

• system and application integration

• cloud data platform modernisation

• data quality improvement

• master data management (MDM) initiatives

• reporting and dashboarding transformation

• data governance frameworks

• AI enablement and automation initiatives

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5. What does working in Data, Analytics & AI involve day-to-day?

You may be involved in:

• analysing data flows and requirements

• building or improving pipelines

• managing migration or integration activities

• developing reporting tools

• shaping governance standards

• supporting decision-makers with insight

• collaborating with engineering, finance, digital and transformation teams

If you enjoy solving problems, improving data quality and enabling automation or insight, this is a strong career path.

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6. How can Stanton House help me progress my Data, Analytics & AI career?

We provide:

• access to high-impact data and AI opportunities across the UK

• guidance on positioning your CV for data roles

• interview preparation tailored to your specialism

• deep insight into hiring trends across data engineering, analytics, governance and AI

• long-term career support across the data transformation pathway