Shubhi Singal

Lead analytics and workflow initiatives supporting 8 implementation teams and approximately 500 managers, team leaders, and implementation specialists, developing a deep understanding of enterprise financial-product workflows and user pain points. Partner with Product, Engineering, Finance, Sales, and Operations stakeholders to translate ambiguous business problems into requirements, prioritize solutions, align teams, and deliver scalable data-driven experiences. Designed and delivered 15 Qlik dashboards across millions of enterprise records, surfacing timely insights for capacity planning, workload management, revenue tracking, operational performance, and organizational effectiveness.

Data Analyst, Systems & Analytics - Bloomberg

(2023-05)

• Lead analytics and workflow initiatives supporting 8 implementation teams and approximately 500 managers, team leaders, and implementation specialists, developing a deep understanding of enterprise financial-product workflows and user pain points.
• Partner with Product, Engineering, Finance, Sales, and Operations stakeholders to translate ambiguous business problems into requirements, prioritize solutions, align teams, and deliver scalable data-driven experiences.
• Designed and delivered 15 Qlik dashboards across millions of enterprise records, surfacing timely insights for capacity planning, workload management, revenue tracking, operational performance, and organizational effectiveness.
• Identified repetitive workflow friction and introduced automation capabilities through iterative prototyping, stakeholder feedback, and solution demonstrations; built and deployed 10 automations that improved consistency and saved approximately two weeks of annual manual effort across supported teams.
• Act as a connector across teams by reconciling business definitions, data dependencies, and competing stakeholder needs, helping standardize reporting patterns and improve trust in shared operational metrics.
• Use engagement with frontline users and leaders to refine solutions over time, balancing immediate workflow needs with reusable approaches that can scale across multiple teams.

Senior Data Analyst - Ernst & Young (EY)

(2022-08 - 2023-04)

• Led analytics and BI transformation initiatives for enterprise clients, converting business needs into technical requirements and coordinating delivery across business, analytics, and engineering stakeholders.
• Led cross-functional delivery supporting 90 enterprise dashboards and reports; reviewed team output, mentored junior analysts, and facilitated stakeholder design sessions to iterate on reporting experiences.
• Developed data models and analytics infrastructure in Google Cloud, improving reporting performance by 300%; evaluated ML lifecycle, feature engineering, governance, and data dependencies for regulated healthcare use cases.

Data Analyst - Ernst & Young (EY)

(2021-07 - 2022-07)

• Designed enterprise reporting solutions integrating data across business functions and built cloud analytics/automation capabilities that reduced operational overhead by 80%.
• Conducted code reviews and supported team development across analytics and engineering workflows, improving delivery quality and consistency.

Data Analyst / Data Engineer Intern - Insight Digital Innovation

(2020-01 - 2020-06)

• Built reusable Python and Databricks data-science workflows and ETL pipelines migrating enterprise data from Oracle environments to Azure SQL.

Master of Science - Data Analytics - Northeastern University

Bachelor of Technology - Computer Science & Engineering - Amity University