At a Glance
- Tasks: Own the data journey from pipelines to impactful dashboards using AI tools.
- Company: Join a high-growth fintech scale-up revolutionising financial decision-making.
- Benefits: Competitive daily rate, flexible work-from-home options, and potential for permanent role.
- Other info: Dynamic environment with opportunities for growth and innovation.
- Why this job: Shape data models and craft dashboards that drive real business insights.
- Qualifications: Experience in BI, data modelling, and familiarity with Snowflake and dbt required.
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.
Work From Home 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. As a Work From Home Consultant, you'll thrive in a collaborative and fast-paced environment that values creativity and agility, with ample opportunities for professional growth and development. Enjoy the flexibility of remote work while contributing to impactful projects that directly influence business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Work From Home Consultant in City of London
✨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 dashboard designs 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 data analytics. Being well-versed in AI tools like Claude Code will make you more attractive to employers looking for innovative thinkers.
✨Tip Number 4
Don’t just apply anywhere; apply through our website! We’re always on the lookout for talented individuals who can thrive in a fast-paced environment. Your next big opportunity could be just a click away!
We think you need these skills to ace Work From Home Consultant 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, as these are key for this role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Interim Data Consultant position. Share specific examples of how you've built dashboards or improved data models in the past.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! Mention your proficiency in SQL, Python, and any relevant BI tools like Power BI or Tableau. We want to see how you can hit the ground running!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures your details reach the right people quickly!
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. Familiarise yourself with their features and how they can be used to build scalable data models and impactful dashboards. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your End-to-End Process
Prepare to talk about your experience owning the full journey from data pipelines to dashboards. Have specific examples ready that demonstrate how you’ve successfully managed this process in previous roles. This will highlight your ability to work across different areas and not just focus on one aspect of data consulting.
✨Emphasise Your AI Experience
Since the role involves using AI tools like Claude Code, be prepared to discuss how you’ve integrated AI into your workflow. Share examples of how AI has helped you accelerate coding or improve data analysis. This will show that you’re not just familiar with AI but actively use it to enhance your work.
✨Prepare for Practical Scenarios
Expect to face practical questions or scenarios during the interview. Think about how you would translate commercial and financial questions into actionable insights. Practising these scenarios will help you articulate your thought process clearly and demonstrate your problem-solving skills.
