Pay: Salary not listed in the saved posting
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Tools in this posting

Python
SQL
dbt
Looker
Metabase
Tableau
Power BI

Source

- Experience working in SaaS, fintech, B2B technology, or a scaling business - Experience with Python, dbt, data modelling, data warehouses, or advanced analytics techniques is advantageous

- Experience in Business Intelligence, Data Analytics, Analytics Engineering, or a similar data-focused role. - Strong SQL skills and experience querying, joining, and validating structured datasets. - Experience building dashboards and reports using BI tools such as Tableau, Looker, Power BI, Metabase, or similar.

- Strong SQL skills and experience querying, joining, and validating structured datasets. - Experience building dashboards and reports using BI tools such as Tableau, Looker, Power BI, Metabase, or similar. - Strong analytical skills, with the ability to structure ambiguous problems and investigate data independently.

Job description

View original posting ↗

Soldo is here to change the way businesses spend, for the better. So every employee, department, and team is more productive and successful at work. Soldo connects company cards with a powerful management platform so finance teams can distribute money instantly, while staying in control of who spends, how much, where, and on what. With Soldo, budgeting, payments, reporting and reconciliation are simple and efficient.

We’re both a financial services and a software company and one of Europe’s fastest growing fintech companies. Operating in the UK, Italy and Ireland, we’re over 350 employees (from 26 nationalities) strong.

We’re a place where anyone can thrive. We’re all about doing the right things for the right reasons, high standards, ambition, drive and focus.

What’s in it for you

Competitive salary
Private healthcare for you and your family
Pension scheme
Flexible working options including working from home or our Marylebone office
60 days’ work anywhere, even outside the UK if you want
25 days off a year, plus public holidays as well as Christmas Eve and New Years' Eve, 2 volunteering days and an extra day off on your birthday
Genuine career development opportunities, including our mentoring scheme, your own annual £500 learning budget
Employee Assistance Programme and wellbeing portal

The role

The Business Intelligence Analyst will support Soldo’s Business Intelligence function in delivering accurate, reliable, and actionable data products across the business.

Working closely with the Head of Business Intelligence, you will contribute to a broad range of BI activities, including recurring reporting automation, dashboard development, data quality checks, metric documentation, stakeholder analysis, and advanced analytics projects.

Responsibilities

Reporting, Dashboards & Automation
Data Quality, Governance & Documentation
Business Analysis & Stakeholder Support
Advanced Analytics & Data Projects

Must Have

Experience in Business Intelligence, Data Analytics, Analytics Engineering, or a similar data-focused role.
Strong SQL skills and experience querying, joining, and validating structured datasets.
Experience building dashboards and reports using BI tools such as Tableau, Looker, Power BI, Metabase, or similar.
Strong analytical skills, with the ability to structure ambiguous problems and investigate data independently.
Good understanding of data quality, metric definitions, reporting logic, and documentation best practices.
Comfortable working with spreadsheets and using them effectively for analysis, validation, and stakeholder-facing outputs.
High attention to detail and a strong focus on accuracy, consistency, and reliability.
Curious about how businesses operate and motivated to understand the context behind the data.
Strong communication skills, with the ability to explain analysis clearly to both technical and non-technical stakeholders.

Nice to have

Experience working in SaaS, fintech, B2B technology, or a scaling business
Experience with Python, dbt, data modelling, data warehouses, or advanced analytics techniques is advantageous