• Analyze marketing performance data to identify trends, optimization opportunities, and key performance drivers. • Evaluate customer acquisition, engagement, and conversion metrics to support marketing strategy. • Design and implement an intelligent lead ingestion framework by automating the lead import process using AI-driven data parsing, validation, and enrichment techniques. This includes building scalable process automation pipelines and developing a user-friendly interface that enables seamless monitoring, control, and interaction with incoming lead data. • Translate complex data into clear insights and recommendations for stakeholders. • Support ad-hoc analysis and proactively identify opportunities for deeper insights. • Write efficient SQL queries to extract, transform, and analyze marketing and enterprise data. • Use Python for data cleaning, automation, and exploratory analysis. • Assist with building and maintaining curated datasets, data models, and data quality checks • Use Claude Code to design interfaces, agents & automation steps • Develop and maintain dashboards and marketing performance reports using BI tools. • Automate recurring reporting processes to improve efficiency and scalability. • Partner with marketing, analytics, data science and data engineering teams to support reporting and data needs. • Document data definitions, logic, and reporting methodologies.

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.