AVP, Business Intelligence Bank & Digital (L10)

Synchrony Financial; Kolkata District; On-site; INR 600,000 - 900,000; Full time

Job summary

Synchrony Financial in India Analytics Hub & Global BI leads BI product development for Bank & Digital platforms. The AVP role focuses on building dashboards, datasets, and standardized reporting powered by data, partnering with platform analytics and data engineering to translate business needs into governed BI solutions.

You will apply SQL, SAS, and Python (future) to ensure accuracy, usability, and adoption, while mentoring teams and driving analytics across cross-functional partners.

Qualifications

• 4+ years in BI reporting and data visualization using Tableau/Power BI.
• 4+ years SAS programming and SQL in relational databases.
• Strong understanding of data modeling and data warehousing fundamentals.
• Experience with ETL patterns and cloud data platforms.

Responsibilities

• Design, develop, automate, and maintain BI products end-to-end.
• Collaborate with platform analytics, data engineering, and business teams to deliver dashboards and reports.
• Translate requirements into technical design, LOE estimates, and governance.
• Optimize BI solution performance, data accuracy, and security controls.

Skills

Tableau

Power BI

SQL

SAS

Python

Data modeling

Data warehousing

ETL

Tools

Snowflake

AWS Redshift

MySQL

PostgreSQL

SQL Server

Job description

Role Title: AVP, Business Intelligence Bank & Digital (L10)

Company Overview

Synchrony (NYSE: SYF) is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century. Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most. Leveraging innovative solutions that are shaping the future of retail commerce, Synchrony supports the growth and success of some of the nations most respected brands, alongside hundreds of thousands of small and midsize businesses, including health and wellness providers. Committed to excellence in service and culture, Synchrony is proud to be named as #3 as a Great Place to Work in India and is honored to be ranked the #1 Best Company to Work For in the U.S. by Fortune magazine and Great Place to Work. For more information, visit www.synchrony.com.

Organizational Overview

Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth.

Role Summary/Purpose

AVP, Business Intelligence Bank & Digital: This role is part of India Analytics Hub & Global Business Intelligence (IAH & GBI) org. The role will deliver on business and organizational priorities for Bank and Digital platforms focusing on business intelligence solutions, that are powered by data and analytics. This role is responsible for developing and enhancing BI products (dashboards, datasets, semantic layers, and standardized reporting) while also providing consulting support to stakeholders. Working under the VP Business Intelligence, this role partners with platform 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 and communication) to help drive measurable business outcomes.

Key Responsibilities

• Design, develop, automate, maintain and enhance BI products from wing to wing, including gathering clear requirements, programming/data pulling, ETL, automation, product delivery, and maintaining documentation/job aide.
• Daily use of SQL, SAS, and Python (future), ensuring consistent definitions and process governance.
• Drive measurable operational efficiency and standard processes for BI product delivery.
• Deliver on projects and initiatives, assigned by VP Business Intelligence and management to advance team and business priorities, including new partner onboarding and Cloud/AI journey.
• Be an SME and business consultant by understanding business needs and performance trends; share analytical thinking with solutions translating needs into insights and recommendations.
• Upgrade knowledge on BI technical and functional advancements (AI) and deploy learnings on existing and future deliverables be the SME and trainer to teams.
• Collaborate with US and India cross functional teams (including Tech, Finance, Marketing) to strengthen BI practice.
• Engage in meetings with internal and external stakeholders.
• Optimize performance of BI solutions (query tuning, extract strategies, aggregations, incremental refresh patterns) and support scalability.
• Translate user stories and acceptance criteria into technical design and build tasks; provide LOE estimates and highlight dependencies/risks.
• Partner with stakeholders to clarify business questions, identify underlying decision needs, and propose the most appropriate BI solution (dashboard, dataset, alerting, or standardized report).
• Document metric definitions, business logic, data sources, refresh cadence, and known limitations; maintain dashboard/report documentation for supportability.
• Apply access and security requirements (e.g., row-level security concepts, permission) as defined by platform standards and in coordination with administrators.

Required Skills & Knowledge

• Minimum 4+ years of hands-on experience in creating BI, reporting 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).
• Minimum 4+ years of hands-on experience with SAS programing language and with relational databases (SQL, MySQL, PostgreSQL, SQL Server) for validation, reconciliation, and data-driven decisioning.
• Deep understanding of data modeling concepts (schemas, dimensional modeling basics) and data warehousing fundamentals (e.g., Data Lakes, Snowflake, AWS Redshift).
• Working knowledge of data warehousing/lakehouse concepts, ETL patterns, and data modeling fundamentals (schemas, dimensions/facts .)