Business Intelligence (BI) Engineer

Innovation Hub Overview

Jefferies is creating a Technology Innovation Hub in Pune, a greenfield opportunity to build the systems that power global markets. As our first India technology center, this hub brings together hands on builders who engineer the platforms behind Jefferies’ growth across capital markets, investment banking, and institutional securities. We’re scaling toward an elite team of 500 engineers while maintaining the agility, ownership, and meritocratic spirit that defines Jefferies. From cloud and data to AI, risk, and core business technologies, teams in Pune will lead high impact work with a global mandate.

IT Corporate Technology

Corporate Technology powers Jefferies’ enterprise operations, enabling front-, middle-, and back-office teams to run efficiently, securely, and in compliance at scale. The group delivers and supports integrated platforms across HR, Finance, Compliance & Legal, Treasury, Client Onboarding, Operations, Centralized Data Services, Regulatory Reporting, Loan Operations, and FX Trading, while also leading firmwide digitalization initiatives focused on automation and process efficiency.

The team uses modern technology stack—including AWS and Azure, Snowflake, Qlik Sense, and best-in-class vendor solutions—to build next-generation capabilities in AI/ML, enterprise analytics, and process automation (RPA and low-code/no-code). Roles in Corporate Technology offer hands-on work with cloud, data, and automation platforms, close collaboration with engineers, product managers, and business stakeholders, and end-to-end exposure to how a global financial services firm operates

Job Summary

We are seeking a skilled and detail-oriented BI Engineer to join our cross-functional Agile team. In this role, you will be responsible for designing, building, and maintaining analytics solutions that transform raw data into actionable insights. This role focuses on developing semantic layers, dashboards, and reports using Sigma and Qlik, ensuring data accuracy, performance, and strong user adoption. You will collaborate closely with backend engineers, product managers, and analysts to create analytics-ready data models that power application features, reporting, and strategic insights. This is an exciting opportunity for someone who values clean data design, modern tooling, and working at the intersection of engineering and business.

Key Responsibilities

Design and develop interactive dashboards and reports using Sigma and Qlik (Sense/View)

Build and maintain semantic models / metrics layers for self-service analytics

Translate business requirements into analytics solutions

Partner with data engineers and architects to model data for BI consumption

Optimize dashboard performance and usability

Ensure data accuracy, consistency, and governance

Support business users and enable self-service BI

Define and maintain KPIs, metrics, and documentation

Perform data validation and troubleshooting

Optimize Snowflake performance (Clustering, Warehouses, Query tuning).

Knowledge of data modeling techniques like data vault, dimensional modeling (Kimball/Inmon) and semantic layers.

Work closely with analysts and stakeholders to gather data requirements and translate them into reliable data models.

Enforce data quality through rigorous testing, documentation, and version control.

Participate in Agile ceremonies (e.g., stand-ups, sprint planning) and manage tasks using Jira .

Mandatory Qualifications & Skills

3–5 years of experience in data engineering or analytics engineering

Strong experience with Sigma Computing.

Strong command of SQL (Advanced SQL) and solid understanding of data modeling best practices (e.g., star/snowflake schema).

Strong experience with Qlik Sense/QlikView

Experience working with Snowflake and AWS.

KPI design and metric standardization

Dashboard UX best practices

Ad-hoc analysis and data storytelling

Understanding of BI performance tuning and caching.

Familiarity with Git-based version control workflows.

Strong communication and collaboration skills, with the ability to work across engineering and business teams.

Experience working in Agile/Scrum environments and managing work using Jira .

Nice-to-Have Skills

Knowledge of dbt or analytics engineering

Familiarity with data governance and access controls

Experience migrating legacy BI tools to modern platforms

Exposure to embedded analytics

Sigma, Qlikor cloud certifications

Education & Experience

Bachelor’s degree in computer science, Data Engineering, or related field.

Experience working in senior management and cross functional teams involving developers, analysts, and product managers.

A strong sense of ownership, documentation habits, and attention to data quality and performance.