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Tier-1 brand, mid-level generalist BI/data role, metro hiring and broad skills make competition medium.
BI and data skills transfer across industries, but PPM and financial domain knowledge increase domain specificity.
Multiple mandatory technical skills (Power BI, DAX, SQL, Python/R, ETL, RLS) increase filtering strictness.
Design, develop, and maintain enterprise-grade Power BI dashboards for Group Investment Management and broader LSEG leadership to support strategic decision-making.
Integrate and optimize data models and dashboard performance using Power BI, DAX, Power Query (M), and ETL tools, collaborating closely with data engineering teams to source from data warehouses such as OneLake and Snowflake.
Engage with stakeholders to gather requirements, produce prototypes, conduct testing (SIT/UAT), and document products, while driving continuous improvements in development and reporting standards.
Minimum 2 years of hands-on Power BI development experience with advanced DAX and Power Query (M) skills.
Proficiency in advanced SQL (T-SQL/ANSI SQL) and experience implementing Row Level Security (RLS).
Experience with Python or R for data science including libraries like scikit-learn or TensorFlow; familiarity with ETL processes and source control (Git).
Work Experience Required: Minimum 2+ years in relevant BI and data science roles; notice period: Not explicitly mentioned.
Experienced in developing high-impact BI dashboards within enterprise/portfolio management contexts, ideally familiar with programme management tools such as Clarity, Planview, Asana, or JIRA.
Demonstrates strong technical depth combining BI development and data science skills, capable of advanced data modeling and performance tuning.
Operates effectively in fast-paced, evolving environments supporting senior stakeholders across global financial services, with proven ability to translate complex data requirements into actionable visual insights.