At a Glance
- Tasks: Own the full data journey from pipelines to impactful dashboards using AI tools.
- Company: Join a high-growth fintech scale-up redefining data-driven financial decisions.
- Benefits: Competitive daily rate and potential for temp-to-perm opportunities.
- Other info: Dynamic environment with a focus on rapid iteration and continuous improvement.
- Why this job: Make a real impact by shaping data models and crafting user-friendly dashboards.
- Qualifications: Strong experience in BI, data modelling, and familiarity with Snowflake and dbt.
We’re partnering with a high-growth fintech scale-up that is redefining how data drives financial decision-making, combining a modern data stack with AI-powered workflows to radically speed up how analytics and dashboards are built and iterated. They’re now looking for an Interim Data Consultant who uses AI as part of their day-to-day toolkit to build better dashboards faster, improve data models, and shorten the path from question to insight. This is not a traditional Data Analyst role or a pure Data Engineering role. It’s a hands-on position sitting between BI, Analytics, AI and Engineering where you’ll own the full journey from pipeline and data model through to high-impact dashboards and decision-ready outputs for commercial, finance and portfolio analytics teams.
The Role
- Own end-to-end delivery: from data pipelines and transformations through to modelling and dashboards.
- Build scalable data models in Snowflake + dbt, working closely with a central data engineering team where needed.
- Develop high-impact dashboards in tools like Sigma, Power BI, Tableau or Looker, focused on usability for commercial, finance and portfolio analytics teams.
- Use AI tools such as Claude Code to accelerate coding, refactoring, documentation, and analytical exploration.
- Translate commercial and financial questions into clear, practical reporting and analytics outputs.
- Iterate quickly based on feedback, continuously improving structure, performance and usability.
You’ll be embedded in a commercial, delivery-focused environment where your work is directly tied to how fast the business can understand portfolio and financial performance and make decisions.
What They’re Looking For
- A rounded interim data consultant, with strong visualisation experience but not someone who lives only in the dashboards or in backend pipelines.
- Strong BI / analytics and dashboard development experience.
- Solid data modelling and data pipeline experience (data warehousing concepts are essential).
- Experience with Snowflake and dbt or a very similar modern stack.
- Strong SQL; Python beneficial.
- Day-to-day comfort using AI tools (e.g. Claude Code, LLM-based assistants) as part of your workflow.
- Experience working end-to-end rather than relying entirely on separate data engineering teams.
- Financial services / investment / Private equity / asset management / fintech exposure highly preferred.
If you’re the person who likes to shape the data model, tune the pipeline, and craft the dashboard so it all hangs together, this is the role for you. It can also be temp-to-perm for the right candidate.
The Stack
- Snowflake (must have)
- dbt (must have)
- Power BI or Tableau or other dashboard (Must have)
- Sigma BI (Sigma experience is a bonus, but any strong modern BI background is transferable)
- Claude Code and broader AI-enabled analytics tooling.
Interested? Apply directly or send your CV to Pelo@thesienapartnership.com.
Analytics Consultant in City of London employer: Siena Partnership
Join a dynamic fintech scale-up that is at the forefront of transforming financial decision-making through innovative data solutions. With a strong emphasis on collaboration and continuous improvement, this company offers a vibrant work culture where your contributions directly impact business outcomes. Employees benefit from hands-on experience with cutting-edge AI tools, opportunities for professional growth, and the chance to work in a fast-paced environment that values creativity and agility.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Consultant in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work with data. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and data models. This is your chance to demonstrate how you can turn complex data into clear insights.
✨Tip Number 3
Be ready for a hands-on interview! They’ll want to see how you think on your feet. Brush up on your SQL and AI tools, and be prepared to tackle real-world problems during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Analytics Consultant in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of an Analytics Consultant. Highlight your experience with data modelling, dashboard development, and any AI tools you've used. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've built dashboards or worked with data pipelines. We love seeing real-world applications of your skills, especially if they relate to financial services or fintech. Let us know how you made an impact!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your experience and avoid jargon unless it's relevant. We appreciate a well-structured application that gets to the point quickly!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Siena Partnership
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Snowflake, dbt, and Power BI. Be ready to discuss how you've used these tools in past projects, and maybe even prepare a few examples of dashboards or data models you've built.
✨Showcase Your End-to-End Experience
This role requires a hands-on approach across the entire data journey. Be prepared to talk about your experience from data pipelines to dashboard creation. Highlight specific instances where you’ve taken ownership of a project and how you iterated based on feedback.
✨Emphasise Your AI Savvy
Since they’re looking for someone who uses AI tools like Claude Code, make sure to mention any relevant experience you have with AI in your workflow. Discuss how these tools have helped you improve efficiency or enhance your analytics outputs.
✨Understand the Business Context
Familiarise yourself with the fintech landscape and how data impacts financial decision-making. Be ready to translate commercial and financial questions into actionable insights during the interview. This will show that you understand the bigger picture and can contribute meaningfully.
