Senior Data Analyst - Product and Banking Analytics

We are seeking a data-driven professional with experience working on data-based products and analytics solutions. The role requires strong stakeholder management and project management capabilities to drive collaboration across product, technology, and business teams. The candidate will leverage SQL and Google Cloud Platform (GCP) to support the development and delivery of data-driven products and insights, and effectively communicate findings to stakeholders.

Work Model

• Hybrid work model: 3 days per week in office (New York), 2 days remote.

Key Responsibilities:

• Support the development and enhancement of data-driven products and analytics solutions.
• Use SQL to extract and analyze data to support product and business requirements.
• Work with Google Cloud Platform (GCP) tools and environments for data processing and analysis.
• Collaborate with product managers, engineers, and business stakeholders to define requirements for data products.
• Drive stakeholder engagement and alignment across cross-functional teams.
• Manage and coordinate project timelines, deliverables, and dependencies to ensure successful execution.
• Prepare and deliver clear presentations and insights to both technical and non-technical stakeholders.
• Ensure data quality, accuracy, and consistency across analytics and reporting outputs.

Required Qualifications:

• 5 years or more experience in data analytics, product analytics, or data-focused roles.
• Strong proficiency in SQL and experience with Google Cloud Platform (GCP) or similar cloud data environments.
• Experience working on data-driven products or analytics solutions.
• Strong stakeholder management and project management skills (essential).
• Excellent communication and presentation skills.

Preferred Qualifications:

• Banking or financial services experience preferred.
• Experience with large-scale data platforms.
• Familiarity with product analytics, KPIs, and metrics frameworks.

Work Model:

Hybrid role based in New York, NY, with 3 days per week in office.

Salary: $100,000 - $135,000 per year, commensurate with experience. This range is provided as a general guideline and may vary based on qualifications, skills, and location.

 

Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.

 

To view our total rewards offered click here —> https://www.exlservice.com/us-careers-and-benefits

 

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.