BI Analyst / Looker Developer
Kraków - Poland, Polska
Key offer highlights
Data: SQL / BI / Python
Looking for experts - senior/expert
Hybrid model - partly remote
Frontend: HTML, CSS, JavaScript
Full-time
Description
IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses.
The perks:
Competitive salary & benefits plan
Life Insurance
My Benefit Platform
Medical Insurance with Medicover
1 additional day off to celebrate your Birthday
2 additional days off a year for voluntary work
Share Plans for Employees
Free lunch at the office (ones per week)
Employee Assistance Program
We work in hybrid working model
What You'll Need:
Three or more years' experience in BI development, with strong expertise in dashboard creation.
Expert knowledge of Looker and LookML, or a comparable BI tool.
Strong SQL skills for data analysis and manipulation.
A strong understanding of data visualisation best practice and UX design principles.
A track record of translating complex data into clear stories and insights for non-technical audiences.
Strong stakeholder communication skills, with the ability to gather requirements and manage delivery across multiple stakeholders.
What you’ll do:
Design and build intuitive Looker dashboards that enable data-driven decisions for business users across IG.
Partner with business stakeholders across functions to understand their reporting needs and translate them into clear, effective visualisation solutions.
Turn complex data into compelling, accessible data stories that drive action.
Customise dashboards using HTML and CSS to enhance the user experience.
Produce documentation and run training that helps business users self-serve their data needs.
Partner with analytics engineers to make effective use of the underlying data models.
Contribute to the development of AI agents, co-pilots, and automated insights that surface data directly to users.