Sr. Analyst - BI, Reporting and Data Visualization
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
Role Summary
The BI Product Developer & Consultant is a hands-on contributor responsible for developing and enhancing BI products (dashboards, datasets, semantic layers, and standardized reporting) while also providing consulting support to stakeholders. Working under the BI Manager, this role partners with Analytics, Data Engineering, and business teams to translate requirements into governed, performant BI solutions, ensuring accuracy, usability, and adoption. This role combines technical development (SQL, BI tools, data validation) with strong consulting skills (requirement clarification, storytelling, training) to help drive measurable business outcomes.
Years of hands-on experience: Relevant years
Key Responsibilities:
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Design, develop, automate, maintain and enhance BI products from wing to wing. Including gathering clear requirements, programming/data pulling, ETL, automation, and product delivery
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Daily use of SQL, SAS, and Python (future), ensuring consistent definitions and governance
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Enhance BI reporting products per modification request and maintain documentation
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Drive measurable operational efficiency and standard processes for BI product delivery
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Deliver on projects/initiatives, assigned by BI PM and management to advance team and business priorities, including new partner onboarding and Cloud/AI journey
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Be an SME and business consultant by understanding business needs and performance trends; share analytical thinking with solutions translating needs into insights and recommendations
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Upgrade knowledge on BI technical and functional advancements (AI) and deploy learnings on existing and future deliverables – be the SME and trainer to teams
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Collaborate with US and India cross functional teams (including Tech, Finance, Marketing) to strengthen BI practice
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Engage in meetings with BI PM and with internal and external stakeholders
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Optimize performance of BI solutions (query tuning, extract strategies, aggregations, incremental refresh patterns) and support scalability
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Translate user stories and acceptance criteria (defined with the BI Product/Project Manager) into technical design and build tasks; provide LOE estimates and highlight dependencies/risks
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Partner with stakeholders to clarify business questions, identify underlying decision needs, and propose the most appropriate BI solution (dashboard, dataset, alerting, or standardized report)
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Document metric definitions, business logic, data sources, refresh cadence, and known limitations; maintain dashboard/report documentation for supportability
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Apply access and security requirements (e.g., row-level security concepts, permission) as defined by platform standards and in coordination with administrators
Skills:
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Proficiency in SQL, SAS, and Python and ability to validate and reconcile metrics across data sources
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Must have hands-on expertise in creating BI and data visualization solutions through tools such as Tableau, Power BI, or similar BI/visualization platforms and BI best practices (performance, usability, basic security/access concepts)
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Deep understanding of data modeling concepts (schemas, dimensional modeling basics) and relational databases (e.g., MySQL, PostgreSQL, SQL Server) and data warehousing fundamentals (e.g., Data Lakes, Snowflake, AWS Redshift)
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Experience with ETL/ELT tools or patterns; familiarity with orchestration concepts.
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Demonstrated experience scheduling, monitoring, and troubleshooting production jobs
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Experience partnering with business stakeholders to gather requirements, clarify definitions, and translate needs into BI solutions
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Business acumen, preferably in financial services
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Strong communication skills, attention to detail, and the ability to present insights clearly to technical and non-technical audiences
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Ability to work effectively in a matrix environment and collaborate across time zones (US/India)
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Experience with cloud data platforms (e.g., Snowflake, Redshift, Databricks) and/or modern analytics tooling
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Knowledge of Synchrony Data Warehouses, Technology tools, systems and processes (preferred)
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Knowledge of AI application in BI practice e.g., NLQ, summarization, anomaly detection, and related governance considerations (preferred)
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Functional knowledge of Marketing, Sales and Credit Lifecycle (preferred)
Eligibility Criteria:
Bachelor’s Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with relevant years of hands-on relevant analytics/business intelligence experience, or in lieu of a degree, relevant years of analytics/business intelligence experience.
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Microsoft Certified: Power BI Data Analyst Associate - Microsoft
Required Skills
Apache Spark MLlib, Azure SQL Data Warehouse, Big Data, Big Data Management, Database Server, Data ETL, Data Integration, Data Modeling, Data Visualization, Design Thinking, Executive Presence, Inclusion, Insight Generation, Master Data Management (MDM), Microsoft Access VBA, Microsoft Power BI, Microsoft SQL Server, Microsoft SQL Server Reporting Services, Python Automation, Python for Data Analysis, Spark SQL, SQL Server Integration Services (SSIS), Storytelling
Language
English (Required), English (Required)
Language Proficiency -
Proficient - C2
Additional Job Location -
Job Type
Regular
Master Skill List -
BI, Reporting and Data Visualization
Remote Type -
Hybrid
Work Shift -
Day Job (India)
Why join Genpact?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
