Top Remote Entry Level Data & Analytics Jobs in Boston, MA

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Maintains and verifies client and matter data across business intake and conflicts systems. Processes engagement, waiver, closure, and name-change requests; links parties; maintains ethical walls, database alerts, and administrative files; performs data cleanup and reporting projects; supports technology testing; and communicates intake and risk-management procedures to attorneys, staff, and external parties.

Lead complex SQL-based analyses of customer, marketing, ROI, and business data. Translate findings into actionable recommendations, reports, presentations, customer QBRs, and strategic insights. Guide Business Data Analysts, establish analytical best practices, prioritize requests, automate reporting, and collaborate with Customer Success, Marketing, Product, and Operations teams.

Coordinates data and process activities for a Managed Services Center, including ServiceNow CMDB reconciliation, data entry and validation, contract updates, quality assurance, task tracking, documentation, auditing, and business continuity support. Collaborates with internal teams and vendors to maintain accurate records, resolve discrepancies, and support ServiceNow operations. The role is remote and highly keyboard-intensive.

Leads hands-on big data processing, data engineering, and analytics workflows using Azure Databricks, Python, and SQL. Develops insights and reporting with Power BI, Tableau, and Excel. Analyzes complex datasets, communicates findings to business stakeholders, manages competing priorities, meets deadlines, and promotes continuous improvement.

Analyzes and prepares customer data for successful migration to ServiceTitan. Works directly with customers to understand source databases, identify data issues, interpret database structures, and map data to ServiceTitan’s model. Writes queries to correct, reformat, and transfer data while coordinating with engineers, implementation teams, and onboarders. Manages shifting priorities, deadlines, project updates, and cross-functional communication to ensure accurate, timely data delivery.

Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.

Early-career Data Engineering Analyst supporting AIG’s Data Office through a rotational program. Responsibilities include developing cloud-based data pipelines, collecting and transforming data, building modern software systems, and supporting analytics and data science use cases. The role emphasizes data quality, security, compliance, collaboration, analytical problem-solving, and professional development through mentoring, masterclasses, and on-the-job experiences.

Analyze business performance, develop hypotheses, answer critical business questions, and build dashboards and reports in Sigma. Support budgeting, forecasting, data quality checks, and reconciliations while partnering with teams across growth, product, insurance, finance, and leadership. Serve as a trusted data advisor by answering metric and reporting questions and promoting data-driven decision-making.

Supports healthcare data analytics and research projects by evaluating diverse datasets, developing statistical models, validating and cross-referencing data, analyzing care and outcome patterns, and communicating findings to nontechnical stakeholders and clients. The role includes learning healthcare data types, SAS programming, research design methods, and quality improvement analytics while collaborating across multiple teams and managing concurrent projects.