Title: Senior Data Analyst - Product and Banking Analytics Location: United States Job RoleData Management and Analytics-Data Ops/Data Analyst Experience (In Years)3-6 Job Description: 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. Responsibilities 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. Qualifications 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. Required Skills - Data Analysis - SQL Software Development - Stakeholder Management About Us 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.

• uses data analysis, discretion, and independent judgment to provide insights into strategic initiatives related to HR management planning. • Evaluates the HR business programs and end user data requirements. • develops analytical and reporting tools to address those needs. • Serves as HR business analytics subject matter expert and supports HR in the utilization of analytics to promote achievement of HR program objectives. • Creates meaningful HR metrics and reporting that provide insights into strategic issues related to workforce planning and management.

• Ensure results by taking ownership through data analysis and process improvements • Management of performance indicators (KPIs) • Results-oriented • Parameterization of the credit engine.

Role Description In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. - Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams. - Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses. - Review, clean, and validate datasets to ensure accuracy, consistency, and integrity. - Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences. - Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives. - Document methodologies, results, and recommendations with meticulous attention to detail. - Contribute expertise to enhance data-driven decision-making processes within the customer's team. Qualifications - Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool. - Exceptional attention to detail and accuracy in data processing and reporting. - Strong written and verbal communication skills, with the ability to clearly articulate analytical findings. - Demonstrated ability to work collaboratively across teams to drive business outcomes. - Solid understanding of Excel functions, formulas, and data visualization tools. - Proficiency in identifying data inconsistencies and implementing corrective measures. - Experience working in fast-paced, data-driven organizations. Requirements - Experience supporting cross-functional teams with data insights to inform business strategy. - Background in presenting analytical outcomes to diverse audiences. - Familiarity with additional data analysis tools or business intelligence platforms.