• Responsible for collecting, compiling and analyzing large volumes of unstructured data, interpreting the results and then assisting in the creation of strategies and decision-making to support business growth. • Mine data from primary and secondary sources; • Clean and organize data to remove irrelevant information; • Analyze and interpret results using statistical tools and techniques; • Identify trends and patterns in datasets; • Identify new opportunities for process improvement; • Design, build and maintain databases and data systems; • Troubleshoot code issues and data-related problems; • Support and monitor the client’s data platform.

Role Description Green River is seeking a creative, curious, diligent, and technically adept analyst to join our growing data team. Your role will be to work with our clients to understand how data can be used to measure and communicate performance, foster continuous improvement, and drive outcomes. You will also collaborate with data engineers, data scientists, and UX designers to help deliver highly functional solutions. - Lead sessions with organizations to set shared understanding of goals. - Research and identify relevant data available for investigation and analysis. - Navigate between technical, programmatic, and executive conversations while maintaining a focus on organizational outcomes and user needs. - Recommend key performance indicators for priority goals. - Design dashboards, visualizations, and reports to interpret indicators and generate insight. - Assist with setting technical specifications for data integration and analysis operations. - Ensure privacy and security policies and procedures are rigorously followed. - Help organizations identify and solve internal operational challenges and craft evocative data-derived public stories. Qualifications - Bachelor's degree, applicable to business analytics, data analysis, analytics engineering, or data science. - Strong verbal and written communication skills for both technical and business leader audiences. - 3 - 5 years' experience with business intelligence strategies. - Significant experience using BI tools such as Tableau, PowerBI, Looker Studio, Superset and/or Quicksight. - Strong analytical skills with the ability to work with data in databases via SQL, CSV and spreadsheets. - 2+ years working remotely. - Facility with analytical programming languages such as R and Python is a plus. Benefits - Generous health care. - Paid time off. - Retirement benefits.

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.