Athos Data Solutions
Senior Data Analyst

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Senior Data Analyst
Company: Athos Data Solutions
Location: London — Remote
Employment type: Full-time
Salary: £95,000–£110,000 + performance bonus + equity/profit-share opportunity
About Athos Data Solutions
Athos Data Solutions is a modern data and AI consultancy helping organisations turn fragmented data into scalable platforms, trusted insights and production-ready AI solutions.
We work across Microsoft Fabric, Azure, Databricks, Power BI and AI, supporting clients from initial data strategy and platform modernisation through to advanced analytics and intelligent automation.
As an early member of our growing team, you will have the opportunity to influence how we deliver analytics, work directly with clients and help shape the future of Athos.
The opportunity
We are looking for an exceptional Senior Data Analyst who can turn complex business questions into clear, commercially valuable insights.
This is not a traditional reporting role.
You will work closely with senior client stakeholders to understand their challenges, define meaningful performance measures and build analytical solutions that influence real business decisions.
You will combine strong technical capability with commercial thinking, clear communication and the confidence to challenge assumptions when the data tells a different story.
What you will do
- Partner with senior stakeholders to understand strategic and operational challenges.
- Translate ambiguous business questions into structured analytical problems.
- Design executive dashboards and analytical products using Power BI.
- Build reliable SQL models, semantic models and reusable analytical datasets.
- Develop KPI frameworks that connect operational activity to commercial outcomes.
- Conduct exploratory, statistical and commercial analysis.
- Identify trends, risks, performance gaps and growth opportunities.
- Communicate findings clearly to technical and non-technical audiences.
- Work with Data Engineers and AI Engineers to productionise analytical solutions.
- Help establish analytics standards, reusable frameworks and delivery best practices.
- Support and mentor analysts across client engagements.
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.
What we are looking for
- At least five years of experience in data analytics, business intelligence or a related position.
- Advanced SQL and experience working with complex datasets.
- Advanced Power BI skills, including DAX, data modelling and dashboard design.
- Strong Python skills, particularly Pandas and NumPy.
- Experience defining KPIs and delivering executive-level reporting.
- Excellent stakeholder management and consulting skills.
- The ability to explain complex analysis clearly and persuasively.
- A strong commercial mindset and focus on measurable business value.
- Confidence operating independently in fast-moving client environments.
- Experience reviewing work and supporting less-experienced analysts.


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Particularly valuable experience
- Microsoft Fabric
- Azure data services
- Databricks and Spark
- Delta Lake
- Power BI semantic models
- Statistical modelling and experimentation
- Financial, operational or customer analytics
- Git and CI/CD practices
- Data governance, lineage and quality
- Consultancy or client-facing delivery
- Exposure to machine learning or generative AI
Why join Athos?
- Top-of-market London salary.
- Performance-related bonus.
- Equity or profit-share opportunity.
- Flexible hybrid working.
- Direct access to company leadership and client decision-makers.
- Significant influence over our analytics capability and ways of working.
- Funded Microsoft and Databricks certifications.
- Opportunities to work across analytics, data engineering and applied AI.
- A clear path towards Lead, Principal or Head of Analytics responsibilities.
- The chance to help build a growing consultancy at an early stage.
Our technology ecosystem
Microsoft Fabric · Azure · Databricks · Power BI · SQL · Python · Delta Lake · GitHub · Azure DevOps · Azure AI
How to apply
Apply through LinkedIn with your CV and a brief explanation of an analytical project where your work influenced an important business decision.
Athos Data Solutions is committed to building an inclusive team. We welcome applicants from all backgrounds and assess candidates based on their skills, experience and potential.
“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
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