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, dynamic work environment, and potential temp-to-perm opportunity.
- Other info: Work in a collaborative setting with excellent growth potential.
- 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).
- Claude Code and broader AI-enabled analytics tooling.
Interested? Apply directly or send your CV to Pelo@thesienapartnership.com.
Analytics Consultant 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and data models. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Stay updated with the latest tools and trends in analytics and AI. Being well-versed in platforms like Snowflake, dbt, and Claude Code will make you a more attractive candidate and show that you're serious about your craft.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Analytics Consultant
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, as these are key for this role.
Showcase Your Projects:Include specific examples of dashboards or data models you've built. We want to see how you've used your skills in real-world scenarios, especially in a fintech or analytics context.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points where possible to make it easy for us to see your qualifications at a glance.
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 don’t miss out on any updates!
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, come prepared with examples of how you've integrated AI into your analytics workflow. Discuss specific instances where AI has helped you improve efficiency or insights.
✨Prepare for Scenario Questions
Expect questions that ask you to translate commercial or financial questions into actionable insights. Think of real-world scenarios where you’ve had to iterate quickly based on feedback and how you approached those challenges.
✨Highlight Your End-to-End Experience
This role requires a hands-on approach across the entire data journey. Be ready to talk about your experience from data pipelines to dashboard creation, emphasising how you ensure usability and performance in your outputs.
