Senior Business Data Analyst

We are seeking a high-performing, data-driven professional to support EMEA Distribution through data refinement, governance, analytics, process automation, and AI-enabled initiatives. The role will focus on transforming Distribution client data for trusted insights, strengthening stakeholder engagement, understanding business pain points, and enhancing commercial decision-making through effective use of data and technology.

We are seeking a high-performing, data-driven professional to support EMEA Distribution through data refinement, governance, analytics, process automation, and AI-enabled initiatives. The role will focus on transforming EMEA Distribution client data for trusted insights, strengthening stakeholder engagement, understanding business pain points, and enhancing commercial decision-making through effective use of data and technology.

The successful candidate will bring strong technical proficiency, a collaborative mindset, intellectual curiosity, and a commitment to continuous improvement, with the ability to deliver high-quality outcomes in a fast-paced business environment.

* Turn EMEA Distribution client data into useful commercial insights that support stronger client engagement and business results * Improve client data quality while keeping the work aligned with enterprise governance practices * Build automation and AI-enabled solutions that improve productivity, accuracy and turnaround time * Help with trend analysis, forecasting and business diagnostics based on current business priorities * Work with stakeholders to clarify needs, set priorities and deliver practical data solutions

* Drive Commercial Insights: Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance. * Data Transformation: Drive client data transformation and in alignment with enterprise data governance practices * Process Automation & AI driven initiatives: Deliver automation/ AI initiatives to enhance productivity, data accuracy, and turnaround time. * Advanced Analytics: Support analytical initiatives, including trend analysis, forecasting, and business diagnostics, as aligned to business priorities. * Stakeholder Engagement: Build strong stakeholder relationships to understand requirements, prioritize initiatives, and deliver high-impact solutions.

* A bachelor's or master's degree in a quantitative area such as computer science, economics or data science * Strong Python and SQL skills for analysis, modeling and automation * Careful handling of untidy data, including spotting irregularities and tracing their underlying causes * A basic to intermediate grasp of machine learning, with interest in growing your applied analytics and AI skills

Who this fits

This senior role suits someone who can combine hands-on data work with stakeholder communication and ownership of delivery. You’ll work from the Gurugram office at least three days each week, with two work-from-home days available. The stated working hours are 11:30 a.m. to 8:00 p.m. India time.

From the employer

* Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics). * Strong proficiency in Python and SQL for data analysis, modeling, and automation.

* Strong attention to detail, with proven ability to identify data irregularities, conduct root-cause analysis, and work extensively with untidy data and spreadsheets. * Basic to intermediate understanding of machine learning concepts, with a willingness to further develop applied analytics and AI capabilities.

* Familiarity with modern data ecosystems, including Snowflake and AWS, is preferred. * Exposure to AI-enabled tools (e.g., Copilot) to enhance efficiency and output quality. * Demonstrated ownership mindset, consistent delivery quality, and strong problem-solving capability. * Excellent written and verbal communication skills, and stakeholder engagement abilities.

* Prior experience within financial services or asset management is advantageous but not mandatory. * Basic Power BI/ Tableau skills.

In-Office Collaboration

We are a client-centric, relationship-based business. Working together in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Full-Time/Part-Time

Full time

Timings