At a Glance
- Tasks: Lead data strategy and analytics, developing impactful solutions for clients.
- Company: Join a dynamic, innovative company recognised as one of the best places to work.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a friendly, collaborative culture focused on continuous improvement.
- Why this job: Shape the future of data and analytics in a hands-on leadership role.
- Qualifications: Proven experience in data analytics leadership and advanced skills in Power BI and SQL.
The predicted salary is between 70000 - 85000 £ per year.
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.
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, Share Point).
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.
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, Share Point 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!
HEAD OF DATA AND ANALYTICS – hands on role employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land HEAD OF DATA AND ANALYTICS – hands on role
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We think you need these skills to ace HEAD OF DATA AND ANALYTICS – hands on role
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Datatech Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatech Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Datatech Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
