Role Description Do you love turning complex go-to-market data into clear recommendations that actually move pipeline, conversion, and revenue? And are you the kind of person who does not stop at the analysis, but actively partners with Marketing, Sales, and RevOps to turn insights into action? Then this is the right role for you! - You lead end-to-end analytical projects with high business relevance across our go-to-market funnel and you own the analytical direction from problem framing to recommendation and help drive the implementation. - You turn data into clear strategic recommendations and business narratives for stakeholders from Marketing, Sales, RevOps and CX: opportunities, risks, concrete next steps, and what to do about them. - You design and orchestrate advanced analyses around funnel performance, conversion, attribution, pipeline dynamics, and growth levers increasingly using AI to do the heavy lifting while you own the judgment and direction. - You build and own a trustworthy data foundation in SQL and dbt: scalable models instead of one-off reporting, structured and documented enough to be agentic-ready for people and AI agents alike. - You support the development of a strong AI-ready semantic layer for GTM analytics: translating business logic into clear metric definitions, trusted dbt models, semantic layer, documentation, and context that enable reliable analysis, self-service, and future AI use cases. - You build new, proactive AI-powered solutions that bring insights directly into the team's workflow for example, a salesperson being coached automatically from their pipeline data and a tailored prompt, instead of waiting for someone to open a dashboard. - You help the whole GTM analytics function level up: you upskill colleagues on working with AI on data, partner with our AI Engineer on agentic workflows, and raise the analytical bar across Marketing, Sales, and RevOps. Qualifications - Solid experience as a Data Analyst in a B2B SaaS environment, with real GTM domain depth on funnel performance, conversion, attribution, and a clear understanding of how Marketing, Sales, and RevOps work together across the funnel. - Strong SQL and dbt: you own a trustworthy, well-modeled data foundation. - You own outcomes, not artifacts: you move from analysis to recommendation to implementation, make sound decisions under ambiguity, and balance speed with analytical rigor. - You partner closely with stakeholders, ask the sharp questions, and challenge assumptions constructively while staying open to better arguments. - You already use AI or LLMs practically in your work: you decompose problems for AI, think about context and data readiness, and direct and validate AI output. Requirements - You enjoy building new, proactive AI-powered solutions, not just dashboards, and like enabling others to work this way. - Hands-on experience with agent frameworks, multi-agent orchestration, or context/prompt engineering, we'll grow you into the deep end together with our AI Engineer. - German is a plus, but the role can be performed in English. Benefits - Flexible working hours and location-independent mobile working, supported by a Germany-wide rail pass (Deutschlandticket) subsidized with 29 euros. - 30 days of vacation (including December 24 and 31) plus additional days off (wedding, relocation, birth). - One volunteering day for a social project that is close to your heart. - Stay fit with the Jobrad bike leasing program and sports offerings from Hansefit or EGYM Wellpass. - Access to the full range of services offered by our mental health partner Bloom. - You will also benefit from additional company health insurance from Allianz. - Monthly professional shoulder and neck massage at the Hanover office. - An annual training budget of currently $800 for courses, books, or coaching. - Regular feedback and development meetings to support you in your career goals. - A clear HERO career plan to enable you to grow internally. - Sensational summer and Christmas parties as well as regular team events. - Annual co-workations with the HERO team within the EU. Your Application Do you see your skills, abilities, and, of course, your personality reflected in the job ad? Perfect! Then send us your detailed application with your salary expectations via the application button. We strongly encourage non-binary and trans* individuals to apply for this position. Severely disabled applicants with equal qualifications will be given preference. Your people of contact: Nicolas (Talent Attraction), Ricarda (Director Data & Insights), Valerie (Team Lead Data & Insights). We look forward to receiving your application! Salary Range: 65.000-85.000 Euro/year

• 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.