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, remote work, and potential temp-to-perm opportunity.
- Other info: Dynamic role in a fast-paced environment with opportunities for growth.
- Why this job: Make a real impact by shaping data models and crafting dashboards that drive business decisions.
- 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) - opportunity to work with a new tool!!
- Claude Code and broader AI-enabled analytics tooling.
Interested? Apply directly or send your CV to Pelo@thesienapartnership.com.
Network Consultant - Remote 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 remote role offers you the chance to work with cutting-edge AI tools and a modern data stack, fostering an environment where your contributions directly impact business outcomes. Enjoy competitive daily rates and the potential for long-term engagement while being part of a culture that values creativity, agility, and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Network Consultant - Remote 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. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and data models. When you get that interview, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Be ready to chat about AI tools! Since this role involves using AI in your day-to-day, brush up on how you've used tools like Claude Code in past projects. Be prepared to discuss specific examples during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Network Consultant - Remote in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Snowflake, dbt, and any AI tools you've used. We want to see how you fit into the role!
Showcase Your Projects:Include specific examples of dashboards or data models you've built. If you've worked in fintech or similar sectors, let us know! This helps us understand your hands-on experience and how you can contribute.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate clarity and want to see your impact quickly!
Apply Through Our Website:We encourage you to apply directly through our website. It streamlines the process and ensures your application gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Siena Partnership
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, especially Snowflake and dbt. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your AI Savvy
Since this role involves using AI tools like Claude Code, be prepared to share specific examples of how you've integrated AI into your workflow. Discuss any projects where AI helped you improve efficiency or outcomes.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems related to data modelling and dashboard creation. Think about how you would approach translating complex financial questions into actionable insights and be ready to walk through your thought process.
✨Emphasise Collaboration Skills
This role requires working closely with various teams, so highlight your experience in collaborative environments. Be ready to discuss how you’ve successfully partnered with data engineering teams or other stakeholders to deliver impactful results.
