Datatech Analytics
HEAD OF DATA AND ANALYTICS – hands on role
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
HEAD OF DATA AND ANALYTICS – hands on role
Hybrid working – Watford offices
£Remuneration will be dependent on experience.
Right to work in the UK required.
Job Ref J13163
Interested in joining one of The Sunday Times best places to work in 2026 (Medium Org) in a ‘greenfield’ role and building out a small, impactful team, then look no further….
The company is growing, dynamic and innovative, developing new ideas and services to assist their clients. They are committed to their ethos of “friendly expertise” and work hard to make sure that their clients prosper above all else.
This is a newly created senior role, based primarily at their Watford office with hybrid working available, reporting to their Finance Principal.
The Head of Data and Analytics will lead data strategy, data platform, analytics, workflow automation (and CRM development) ensuring that their data supports better decision-making, operational efficiency and sustainable growth across the firm. In time, the role will also develop a commercial data and analytics offering, working with service lines to deliver data-led solutions for their clients. Working closely with Principals and Heads of, the role will embed best practice, innovation and a joined-up approach to technology and AI as a core enabler of the firm's strategy.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Develop and deliver a firm-wide data and analytics strategy aligned to firm goals.
- Advise on data-informed decision-making, performance insight and profitability opportunities across service lines.
- Lead, mentor and grow a high-performing data and analytics team, fostering a culture of continuous improvement and positive collaboration in line with firm values.
- Lead the development of the firm's data platform, ensuring robust pipelines, quality data models and secure storage environments that support reliable reporting and insight.
- Maintain and champion data quality standards, promoting consistent data capture and use across systems and offices, which is a key enabler of a One Firm approach.
- Direct the development of advanced analytics, reporting and visualisation solutions (e.g., Power BI, Excel) that provide clear, meaningful metrics.
- Support the development of, and roadmap for the firm’s CRM platform, ensuring efficient workflows, high-quality client and pipeline insight.
- Lead the development of automation and low-code solutions (e.g., Power Automate, Power Apps, SharePoint).
- Establish data and analytics as a commercial service line, including service design and delivery of data-led advisory services for clients.
- Act as the primary point of contact for data initiatives, ensuring clarity of scope, outcomes and alignment with the firm's technology and AI roadmap.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Ideally you will have the following skills:
- Proven experience in a senior data analytics or data management leadership role.
- Advanced proficiency in Power BI, Excel, SQL and Python.
- Experience with Azure data environments and data engineering tools (e.g., Azure Data Factory) or similar.
- Experience overseeing and enhancing a data platform, including pipelines, ingestion processes, storage and lifecycle management.
- Hands-on experience developing and supporting low-code and automation solutions (Power Automate, Power Apps, SharePoint or similar).
- Experience managing and improving CRM platforms, including governance, integration, optimisation and process alignment.
- Strong understanding of data structures, integrations and system interoperability.
- Good knowledge of statistical methodologies and data analysis techniques, with the ability to translate complex analysis into clear, concise insight for non-technical stakeholders.
- Excellent leadership, communication and stakeholder management skills at all levels.
- Critical thinking, problem-solving and sound decision-making ability.
Interested to find out more – apply today!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location