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Tier-1 brand, Bangalore location, and a visible BI/data role increase competition.
Core BI and data science skills are transferable, finance-specific tools add moderate domain constraint.
Multiple mandatory technical skills (Power BI, DAX, SQL, Python, ETL) indicate strict screening.
Design, build, and maintain scalable, high-performance Power BI dashboards to support project, programme delivery, and executive decision-making within Group Investment Management and wider LSEG.
Develop strong data models, ETL processes, and optimize dashboard UX aligned with corporate style and reporting frameworks, ensuring robust performance and usability.
Collaborate with stakeholders and Data Engineering to integrate data sources (Clarity, data warehouse, OneLake, Snowflake), and support quality assurance (unit testing, SIT/UAT) and documentation.
2+ years hands-on experience in Power BI development, including strong DAX and Power Query (M) skills.
Proficiency in advanced SQL (T-SQL/ANSI SQL), ETL scripting, and experience with dataflows and modern BI pipelines (e.g., Databricks, PySpark).
Experience with programme/project management tools like Clarity, Planview, Asana, JIRA, and implementation of Row Level Security (RLS).
Proficiency in Python or R with data science libraries (scikit-learn, TensorFlow) and experience with LLM prompt engineering for unstructured data feature extraction.
Experienced BI developer comfortable operating at the intersection of data science and data engineering within a financial or enterprise programme management context.
Capable of managing end-to-end dashboard development lifecycle including requirements gathering, prototyping, performance tuning, and stakeholder communication under fast-moving conditions.
Technically versatile, with expertise in Power BI, SQL, Python/R, ETL processes and cloud data platforms, and able to influence high-impact reporting products used by senior leadership globally.