At a Glance
- Tasks: Lead complex analytics projects and deliver high-impact insights for a global law firm.
- Company: Join Herbert Smith Freehills, a world-leading global law firm with a commitment to excellence.
- Benefits: Enjoy a competitive salary, professional development, and a supportive work environment.
- Other info: Be part of a diverse team that values innovation and continuous improvement.
- Why this job: Shape the future of analytics while working with senior stakeholders on strategic initiatives.
- Qualifications: 4+ years in data analytics, strong skills in SQL, Python, and data visualisation tools.
The predicted salary is between 63000 - 77000 £ per year.
Herbert Smith Freehills Kramer is a world-leading global law firm, where our ambition is to help you achieve your goals.
Exceptional client service and the pursuit of excellence are at our core.
We invest in and care about our client relationships, which is why so many are longstanding.
We enjoy breaking new ground, as we have for over 170 years.
As a fully integrated transatlantic and transpacific firm, we are where you need us to be.
Our footprint is extensive and committed across the world’s largest markets, key financial centres and major growth hubs.
At our best tackling complexity and navigating change, we work alongside you on demanding litigation, exacting regulatory work and complex public and private market transactions.
We are recognised as leading in these areas.
We are immersed in the sectors and challenges that impact you.
We are recognised as standing apart in energy, infrastructure and resources.
And we’re focused on areas of growth that affect every business across the world.
All of this is achieved by supporting the growth of our people, who help us deliver on our ambition – which is to help you achieve yours.
Herbert Smith Freehills Kramer: Your goals. Our ambition
The Opportunity
The Role
The Senior Data Analyst plays a critical role in delivering high‑impact analytics solutions across the firm.
Working closely with partners, associates, and senior business stakeholders, the role leads complex analytical engagements, translating business needs into actionable insight and championing best practice in data analytics.
The role operates with a high degree of autonomy, managing multiple concurrent initiatives, collaborating and sharing knowledge with (junior) team members, and contributing directly to the firm’s reputation for high‑quality, insight‑driven decision‑making.
This is an opportunity to shape the future of analytics at the firm, working on strategic initiatives with senior stakeholders while helping to grow a market‑leading analytics capability.
Key Responsibilities
- Leadership & Delivery
- Lead the end‑to‑end delivery of complex analytics initiatives, ensuring high standards of quality, insight, and impact.
- Manage multiple priorities and workstreams simultaneously, delivering to agreed timelines and stakeholder expectations.
- Identify opportunities to deliver additional value from data by leveraging existing and emerging technologies, driving adoption of new analytical capabilities across the firm.
- Analytics & Technical Expertise
- Set and oversee best practice for the design and delivery of reports, dashboards, and insight across operational, financial, and performance metrics.
- Undertake hands‑on development of complex dashboards and analytical products, demonstrating best‑in‑class data storytelling and visual analytics.
- Apply advanced analytical techniques using SQL, Python, and relevant analytics platforms to solve complex business problems.
- Incorporate Generative AI and AI‑enabled tools into analytics solutions where appropriate, enhancing efficiency, insight, and automation.
- Stakeholder Engagement
- Build trusted relationships with senior stakeholders, partners, and leadership teams to understand business challenges and shape analytics roadmaps.
- Translate complex analytical findings into clear, compelling narratives for technical and non‑technical audiences.
- Support stakeholders in improving data literacy and confidence in using insights to inform decision‑making.
- Governance, Quality & Standards
- Develop, implement and adhere to enterprise analytics standards, data quality controls, review practices and governance frameworks to ensure accuracy, consistency, and clarity.
- Own and continuously improve business‑as‑usual BI and analytics processes, including the definition and tracking of relevant KPIs.
- Ensure analytical outputs align with wider firm standards, risk requirements, and delivery frameworks.
- Team Development
- Contribute to team capability building through knowledge sharing and peer support on advanced analytical tasks.
- Promote consistency in analytics practices across the firm, contributing to a cohesive and high‑quality approach to data and insights.
Qualifications, skills and experience
Essential
- 4+ years’ experience in data or business analytics (professional services or law firm experience preferred).
- Bachelor’s degree in a STEM‑related discipline (or equivalent experience).
- Advanced skills in data visualisation and dashboarding, with hands‑on experience in Power BI or similar tools (e. g. Tableau, Qlik View).
- Practical experience using Large Language Models (LLMs) and AI‑powered tools (e. g.
Microsoft Copilot Studio or similar AI assistant platforms) to enhance analytics, automate workflows, or generate insights.
- Strong proficiency in SQL and Python or equivalent programming language for data analysis, transformation, and automation.
Working knowledge of Share Point, Power Automate, Microsoft Fabric, or comparable platforms.
- Excellent communication skills, with the ability to engage effectively with both technical and non‑technical stakeholders.
- Strong analytical, problem‑solving, and critical‑thinking capability.
- Proven ability to manage multiple priorities and deliver to tight deadlines in an Agile environment.
- High attention to detail, with strong documentation and collaboration skills.
- Demonstrated experience contributing as a (senior) member of an analytics or data team, with the ability to take ownership of complex analytical work.
Desirable
- Experience working in a global or distributed team environment.
- Demonstrated ability to drive continuous improvement and embed sustainable process change.
- Agile or delivery‑management qualifications.
- Experience coaching or line‑managing junior analysts, including identifying development needs.
- Ability to translate business and user requirements into technical integration specifications.
Experience with APIs (including REST services) and AI integration protocols such as MCP (Model Context Protocol).
Closing date for applications will be Friday 21 August at 12 pm.
- Team
- Digital Legal Delivery
- Working Pattern
- Full time
- Location
- Belfast
- Contract type
- Permanent Contract
- Diversity & Inclusion
We are committed to attracting people from all backgrounds and creating a respectful and inclusive culture where everyone thrives.
We see this as essential to our success, including our ability to innovate and achieve sustained high performance.
This is a key part of our Values—Human, Bold, and Outstanding.
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Senior Data Analyst - Digital Legal Delivery, Belfast employer: Herbert Smith Freehills
Herbert Smith Freehills Kramer is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With a strong focus on innovation in the Digital Finance sector, our Belfast office provides unique opportunities to engage in high-profile transactions while fostering meaningful client relationships. We celebrate diversity and empower our team members to thrive, ensuring that your professional ambitions align with our commitment to excellence.
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We think this is how you could land Senior Data Analyst - Digital Legal Delivery, Belfast
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We think you need these skills to ace Senior Data Analyst - Digital Legal Delivery, Belfast
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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!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
