Gravitas Recruitment Group (Global) Ltd
Senior Data Analyst

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Senior Data Analyst
Location: City of London (3 days per week)
Salary: £70,000–£85,000 + 20–40% bonus + benefits
Gravitas has partnered with a well-established London Market insurance organisation to recruit a Senior Data Analyst into its Data Analytics team. This is a priority hire with a real need for someone who can add value quickly, particularly in Power BI and Microsoft Fabric and who is confident partnering with underwriters and senior stakeholders.
Background note: Lloyd’s / London Market experience is still preferred, but we are now open to candidates from broader insurance and financial services backgrounds. Exceptional candidates from outside these sectors will be considered if they are technically strong and commercially minded.
The Role
Reporting to the Data Analytics Manager (Ballint’s team), you’ll sit in the “bridge” between the business and data/IT teams—translating stakeholder needs into well-scoped analysis and high-quality Power BI deliverables.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
This role is commercially led (stakeholder partnership, requirements shaping, influencing decision-making) rather than deep pipeline engineering. You’ll also work closely with the Senior Data Scientist to agree clear handover points between analytics and data science.
Key Projects
- Delegated data programme (multi-year): delivering granular, underwriter-ready insight and MI.
- Power BI adoption & rationalisation: improving standards, reusability, governance, and reducing duplicated / inconsistent reporting.
What You’ll Be Doing
- Partner closely with underwriters and business stakeholders to understand objectives, shape requirements, and communicate insight clearly.
- Design, build and enhance Power BI dashboards and semantic models aligned to best practice (not quick prototypes).
- Help drive Power BI standards and governance (modelling discipline, performance, usability, trusted metrics).
- Collaborate with data/IT teams to ensure upstream data supports commercial reporting needs (without being the core data engineering owner).


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Skills & Experience
Essential
- Strong experience delivering Power BI in a commercial stakeholder environment (you must be credible with senior stakeholders; this is a key interview focus).
- Power BI: strong modelling discipline and best practices (incl. star schema thinking, measure design, performance considerations).
- Ability to translate ambiguous questions into clear, deliverable analytics outputs.
Preferred / Advantageous
- Lloyd’s / London Market / specialty insurance experience (preferred, not mandatory).
- Exposure to Copilot / AI tooling in analytics workflows (nice-to-have, not required).
Why This Role
If you enjoy being the person who can get underwriters aligned, define what “good” looks like, and deliver high-quality BI that stands up to scrutiny—this is a strong opportunity in a team investing in better decision support and BI maturity.
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