• Analyze and document business processes, workflows, and operational procedures • Work with SMEs and leads to identify opportunities for automation and AI-assisted improvements • Break down complex processes into structured, logical steps that can be leveraged by other team members • Translate business requirements into clear, structured inputs for AI-enabled tools and workflows • Support development of context frameworks used by AI systems • Analyze datasets to identify trends, patterns, and opportunities for optimization • Support data preparation and structuring for AI use cases • Can travel up to 10% to Washington, D.C.

Title: Staff Analytics, Product & Marketing Location: Mountain View, California, US Hybrid Job Description: About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights. The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself. The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week. WHAT YOU'LL DO - Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces. - Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale. - Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV. - Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional). - Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth. - Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights. WHAT WE'RE LOOKING FOR - 7+ years in analytics, data science with deep hands‑on execution. - Strong technical skills in SQL, Python, experimentation, and statistical modeling. - Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar). - Solid background in product and growth analytics across activation, engagement, retention, and monetization. - Experience with causal inference, uplift modeling, and experimentation frameworks. - Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders. - Excellent communication and storytelling skills for technical and non‑technical audiences. - Experience in fintech, consumer tech, or data‑driven product organizations is a plus. - Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus #LI-Hybrid At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

About CompaCompa is a venture-backed AI startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more. Locations: Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible. The Role: The Compensation Data Analyst plays a critical role in maintaining trust in Compa’s compensation insights by monitoring data yields, identifying systemic data issues, resolving customer-specific data problems, and supporting ongoing data releases and quality management. Key Responsibilities - Monitor the health and recency of compensation data across customer accounts. - Investigate and resolve data inconsistencies to ensure reliable insights in the platform. - Partner with Product, Engineering, and Integrations teams to support stable data pipelines. - Respond to customer- and internally-reported data questions with clear, timely communication. - Execute routine data updates and validate accuracy as part of ongoing data releases. - Perform recurring data quality checks to proactively maintain data integrity. - You’ll work at the intersection of compensation expertise, data operations, and product quality. - The role offers clear ownership and visibility, with meaningful impact on customer trust and product reliability. Minimum Qualifications: - Experience working with structured datasets and performing data validation or quality checks. - At least 3 years of experience working with compensation data and deep knowledge of compensation benchmarking - Familiarity with HR technology systems and comfort working with technology systems. - Strong analytical and problem-solving skills with attention to detail. - Ability to communicate clearly about data findings and issues with both technical and non-technical stakeholders. - Comfort working in a fast-paced, collaborative environment with evolving priorities. Preferred Qualifications: - Exposure to data integrations or APIs. - Data analysis and proficiency in advanced data analysis (SQL, Python, etc.) - Prior experience in a customer-impacting or support-adjacent role, where clear communication and timely resolution were important.

• Support the evaluation of client requirements and goals and contribute to the development of appropriate strategies, solutions, and associated work products to support the assigned task • Support the development and implementation of data analytics and visualization tools and processes • Provide day-to-day collaboration and input to team members on assigned tasks • Support the design, development, and delivery of work products and/or deliverables • Support the implementation of client-accepted recommendations • Prepare briefings and PowerPoint decks, memos, and emails • Maintain files on SharePoint/Teams and ensure version control and archiving of all final work products • Participate in client meetings and briefings with key stakeholders • Manage timelines, schedules, status reporting, and prepare monthly reports • Ability to support development and implementation of tools and processes in the Microsoft Power Platform is preferred