Power BI Developer
LSEG (London Stock Exchange Group) (company site, opens in a new tab)On-siteDirect career pageEst. 18–30 LPA
Posted 19h ago
Reach people at LSEG (London Stock Exchange Group)
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at LSEG (London Stock Exchange Group) you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, maintain, and support Power BI dashboards and semantic models, including optimization of DAX, Power Query, and SQL Server data connections.
- Lead and manage a team while owning data architecture, design standards, and testing strategies for governed, reusable, AI-ready data foundations.
- Drive improvements in reporting reliability, usability, and adoption by replacing manual processes with scalable solutions and ensuring data quality.
Minimum Requirements
- Expert hands-on experience with Power BI development, including advanced DAX, Power Query, semantic modeling, and performance optimization.
- Strong SQL skills with experience working on SQL Server data sources and relational data structures.
- Proven people-management experience with coaching and capability development (for managerial role).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in Agile delivery with strong ownership of outcomes and collaboration across business and technical teams.
- Skilled in translating ambiguous business needs into practical, maintainable reporting solutions with quality assurance and documentation.
- Background in investment portfolio management or transformation and data architecture ownership aligned with financial services reporting.