Role Description We are looking for detail-oriented Operations Data Analyst Interns to support Instawork's Field Operations (FO) team. You will work with operational data—markets, territories, business locations, worker coverage, and visit schedules—to build and maintain route maps and planning spreadsheets that help FOs run efficiently in the field. This is a fully remote internship with clear deliverables, performance incentives, and regular feedback. If you enjoy working with data in Excel, have strong attention to detail, and want hands-on exposure to operations at a fast-growing marketplace—this role is for you. Key Responsibilities - Build and maintain Excel workbooks for FO route planning, territory coverage, and visit schedules. - Clean, validate, and organize location and operational data (addresses, zones, markets, visit frequency, priorities). - Create route maps and territory layouts using Excel (tables, pivots, conditional formatting) and/or mapping tools (e.g., Google Maps) as directed. - Support route optimization by grouping stops by geography, time windows, and FO capacity. - Produce weekly and daily planning sheets for FOs: who visits where, in what order, and with what targets. - Track coverage gaps (uncovered businesses, overdue visits, imbalanced territories) and flag issues to the FO lead. - Maintain documentation of assumptions, data sources, and version history for planning files. - Incorporate feedback from FOs and managers to improve accuracy and usability of plans. Qualifications - Microsoft Excel: Intermediate-advanced skills including VLOOKUP/XLOOKUP, INDEX-MATCH, pivot tables, conditional formatting, data validation, named ranges, SUMIFS, COUNTIFS, IF, date logic. - Data hygiene: Sorting/filtering large datasets, deduplication, standardizing addresses/zones, spotting inconsistencies. - Spatial / route thinking: Grouping locations by proximity, zones, or drive time; basic understanding of territories and visit sequencing. - Attention to detail: Accurate data entry, cross-checking outputs, catching errors before plans go to the field. - Communication: Clear notes in spreadsheets; ability to explain how a route or territory was built. - Reliability: Meet deadlines; follow templates and SOPs; respond to revision requests quickly. Requirements - Experience with Google Sheets or Excel Power Query for imports and refreshes. - Familiarity with mapping tools (Google My Maps, QGIS, or route APIs). - Basic SQL or comfort exporting from dashboards/CSVs into Excel. - Prior work in logistics, field sales, delivery routing, or operations planning. - Understanding of US/Canada metro markets or multi-city territory design. Sample Deliverables - Territory assignment sheet: businesses to FO to zone to visit cadence. - Weekly route plan: ordered stop list per FO with estimated time/distance notes. - Coverage dashboard: % of accounts visited, gaps by market, overdue visits. - Master location file: validated addresses, geocodes (if available), market tags. Expectations - Daily: Update planning files from latest operational data; fix errors flagged by FOs. - Weekly: Refresh route maps and territory balances; submit summary of changes and open gaps. - Quality bar: Plans must be accurate, reproducible, and easy for a non-analyst FO to follow. Our Values - Empathy, Trust & Candor: We put ourselves in the shoes of our colleagues and customers and don’t shy away from uncomfortable conversations, instead building trust through honest and direct feedback. - Bias for Action: We practice high-velocity decision-making, clear-eyed that we often operate with incomplete information. Growing quickly means it’s OK to be wrong, so long as we learn from our mistakes and course correct! - Always Be Learning: We’re a curious bunch, and with AI transforming our workplace we encourage everyone to learn from each other, compounding our knowledge and experience to help us change an entire industry. - Act Like an Owner: We work long, hard, and smart, building products that delight our users and drive growth. Your ability to impact Instawork is limited only by your courage and conviction, not your job description.

Role Description Buscamos un(a) Analista de Datos con entre 3 y 5 años de experiencia, enfocado(a) en análisis avanzado, visualización, aseguramiento de calidad de datos y acompañamiento técnico a analistas. Este rol será clave para diseñar soluciones de consumo de datos, construir dashboards complejos, automatizar procesos y garantizar el cumplimiento de lineamientos y buenas prácticas. - Implementar y supervisar controles de calidad de datos para asegurar precisión, integridad y fiabilidad. - Diseñar, construir y mantener dashboards complejos integrando múltiples fuentes de datos. - Analizar tendencias, patrones, oportunidades y alertas a partir de grandes volúmenes de información. - Proponer y ejecutar mejoras en procesos de análisis, visualización y consumo de datos. - Automatizar procesos ETL, assets y reglas de negocio requeridas para reportes y tableros. - Administrar flujos y almacenes de datos para herramientas oficiales de visualización. - Supervisar y/o ejecutar pruebas funcionales para certificación de productos de datos. - Acompañar y asesorar a analistas JR/SR en buenas prácticas, lineamientos y construcción de soluciones Dataviz. - Actuar como consultor interno para otros equipos en uso de datos y visualización. - Alinear las iniciativas con los objetivos estratégicos del negocio y apoyar la ejecución de la estrategia de Delivery y Soluciones de Datos. Qualifications - Experiencia de 3 a 5 años en análisis de datos, visualización o roles afines. - Dominio de SQL y/o Python. - Experiencia en optimización de consultas y manejo de bases de datos. - Capacidad para diseñar y construir dashboards complejos y modelos de datos avanzados. - Experiencia con herramientas de extracción, transformación y carga de datos. - Conocimiento en SQL, Python, Spark SQL, DAX, Power BI, Excel, SSIS, Stratio Rocket y Stratio Discovery. - Habilidad para automatizar procesos de consultas y dashboards. - Conocimientos en estadística y técnicas de análisis de datos. - Experiencia liderando iniciativas de análisis de datos y coordinando o guiando equipos. Requirements - Capacidad de mentorship y acompañamiento a otros analistas. - Habilidad para negociar y desbloquear impedimentos. - Enfoque estratégico para alinear el análisis de datos con los objetivos del negocio. - Proactividad en mejora continua de procesos y soluciones. - Capacidad para presentar hallazgos a audiencias no técnicas. - Pensamiento analítico, precisión y orientación a la solución de problemas.

• 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.