This page tracks remote data analyst openings that are location-eligible for Maine.
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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.
The flexible work app that connects local businesses with qualified hourly workers
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.
Especialistas en el end to end de activos digitales, staffing y Servicios Tecnológicos. Hazlo fácil con KEPPRI !!!
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.
A business unit of General Dynamics, General Dynamics Information Technology (GDIT) supports some of the United States' most complex government, defense, and in
• 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.
A business unit of General Dynamics, General Dynamics Information Technology (GDIT) supports some of the United States' most complex government, defense, and in
• 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
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com. Applicants have rights under Federal Employment Laws: Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only).
Role Description Under moderate supervision, designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, and analysis to enable informed business decisions. - Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. - With moderate direction, create solutions from initial concept to production. - Communicates results to a broad range of audiences. - Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management. - Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. - Mentors less senior staff. - Works in cross-functional projects and programs. - Routinely presents to management. - Performs other duties as assigned. Qualifications - Master’s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance plus 3 years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics. - As an equivalent alternative, a Bachelor’s degree in information systems, computer science, or a quantitative discipline plus 5 years of work experience in the same fields. Requirements - Proficiency in analytics software and applications. - Good interpersonal skills. - Good written and oral communication skills. - Gain insight into key business problems and deliverables by applying analysis techniques to examine structured and unstructured data from multiple disparate sources. - Effectively communicate analytical results to a broad range of audiences, written and verbally, as well as through informal working sessions and formal presentations. - Proficient in quantitative and qualitative business problem-solving. - Develop interactive data visualizations & dashboards using Power BI, Tableau, and Spotfire. - Advanced querying in Teradata, Oracle, Azure environments. - Proficient in logistics, customer, and transactional data analytics to enable informed business decisions. - Related experience may offset degree requirements, and related education/degree may offset experience requirements. - This position is eligible for telecommuting and may be located anywhere within the United States excluding Alaska, Hawaii and U.S. territories. Company Description Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. - Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. - Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com. - Applicants have rights under Federal Employment Laws: - Know Your Rights - Pay Transparency - Family and Medical Leave Act (FMLA) - Employee Polygraph Protection Act - E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only).
SmithRx is a tech-forward PBM committed to changing the way pharmacy benefits are managed.
• Independently ascertain how to query the necessary data from large data sets and generate ad hoc analysis with clear insights • Leverage historical claims data and provide reporting that allows for assessment and risk management • Assist in preparing deliverables for operation teams that support a member’s transition experience to SmithRx • Ensure high quality, “client ready” deliverables through an audit/evaluation process and personal accountability • Execute deep-dive analyses and investigations into large datasets and provide clear insights on findings • Clearly communicate with internal stakeholders and external partners through email, slack, phone, video call, etc. • Provide ad hoc analysis to illustrate other potential impact from implementing SmithRx as a pharmacy benefit solution
• Help manage the performance, reliability, and accountability of high-volume messaging programs. • Build reporting systems that help understand messaging program performance. • Identify delivery or compliance risks before they become major issues. • Maintain source-of-truth analytics to aid decision-making. • Develop alerting that identifies operational risks in real-time. • Run post-incident reviews to identify root causes, lessons learned, and follow-up actions.
EquipmentShare provides construction equipment and technology to thousands of contractors across the United States. The company has hired in the past for jobs w
Role Description At EquipmentShare, we’re hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO. We’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Your Opportunity to Grow With Us as a Financial Data Analyst: - Play an integral role in creating and analyzing profit and loss statements for our branches. - Partner with operations to facilitate deeper understanding of their earnings. - Analyze monthly branch financials and identify potential challenges and opportunities for increasing profitability. - Develop new processes with financial data including but not limited to forecasting, trend analysis, and other reporting. - Design new dashboards to empower our branches with improved financial insights. Qualifications - 4+ years of experience focused on data analysis. - Bachelor's degree in Accounting, Finance, Statistics, Economics, Computer Science, Mathematics or related field. - Corporate finance exposure preferred: forecasting, reporting, and analysis experience, a keen understanding of financial statements and financial data. - Advanced SQL experience required (CTEs, joins, subqueries, etc.). - Expert-level Microsoft Excel and PowerPoint skills. - Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred. - Strong written and verbal communication skills. - Ability to swiftly extract key insights from data. Requirements - Legal authorization to work in the United States without Visa sponsorship. Benefits - Competitive compensation. - Full medical, dental, and vision coverage for full-time employees. - Generous PTO + paid holidays. - 401(k) + company match. - Gym membership stipend + wellness programs (earn PTO and prizes!). - Company events and food truck nights. - 16 hours of paid volunteer time per year — give back to the community you call home. - Career advancement, leadership training, and professional development opportunities. Company Description At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do.
• Own the development and maintenance of compliance dashboards, recurring regulatory reports, and analytical views in BI tools such as Tableau or Metabase or similar tools to support regulatory, operational, and compliance risk monitoring needs. • Write and debug SQL queries to extract, validate, aggregate, and transform compliance-related data across systems for ad hoc analysis, reporting, and monitoring. • Conduct deep-dive analyses on compliance trends, transactional patterns, and user behavior across cards and payments to identify anomalies, control gaps, operational blockers, and emerging risks. • Support regulatory reporting and compliance monitoring initiatives by ensuring data accuracy, completeness, and consistency across source systems. • Build and refine segmentation, cohort, and trend analyses to help Compliance and business teams better understand customer behavior, risk patterns, and control effectiveness. • Analyze transactional patterns and user behavior across cards and payments to improve operational tooling, to help inform and scale operational processes like onboarding and transactional monitoring, and enable growth by identifying and removing blockers in the customer journey. • Work in a continuous feedback loop with Data Product Managers and Data Engineers to refine analytical logic, improve data quality, and evolve reporting and data models. • Communicate findings clearly to technical and non-technical stakeholders, including Compliance, onboarding Operations, Product, and leadership teams. • Contribute to process improvements and automation opportunities that strengthen self-serve analytics and scalable reporting. • Analyze onboarding funnels and client risk profiles, transactional patterns, and user behavior across cards and payments to identify friction points, reduce drop-offs, and improve both customer onboarding and operational efficiency.
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SQL, Tableau, Python, Excel, R, Power BI
