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

Evaluate search engine results and provide feedback on text, audio, images, and videos to improve AI and online search experiences. Conduct online research, assess relevance and significance, maintain quality and accuracy standards, and complete assignments independently from a home office. The role requires English and Spanish proficiency, flexible part-time availability, completion of training and testing, and use of a smartphone, computer, reliable internet, and antivirus software.

Own Synera’s data warehouse and ingestion infrastructure, integrating GTM and business systems into reliable, documented, monitored pipelines. Build data models, reporting and forecasting layers, and agent-ready interfaces using APIs, MCP connectors, permissions, and governance. Develop retrieval infrastructure for documents and unstructured content, including chunking, embeddings, and indexing. Partner with teams across the company to improve data quality and make business information usable by AI agents.

Assists transplant nephrology investigators with collecting and managing research datasets, analyzing secondary data sources, and performing statistical and regression analyses. Generates tables, reports, and computations; maintains study records and files; and helps identify trends and educational needs. The role is part-time, remote, and requires basic computer systems and data analysis skills, with prior experience preferred but not required.

Develop and maintain data delivery processes, workflows, data quality solutions, and visualizations supporting consumer lending. Analyze complex datasets, identify root causes, resolve production issues, and provide actionable recommendations. Collaborate with technical and business stakeholders, document methodologies, and communicate findings effectively. The role requires SQL, Python, Tableau, cloud data environment, database, and large-scale dataset experience.

Manages manufacturer client relationships and translates Circana’s syndicated consumer and retail data into actionable business insights. Delivers analyses, dashboards, and insight-led solutions; collaborates with product, analytics, and client teams; identifies growth opportunities; supports client satisfaction and innovation; and uses AI tools to improve research, communication, and process efficiency.

This is a general interest opportunity for candidates who want to connect with QuickLaunch Analytics for potential future roles. The company delivers enterprise data analytics solutions using Power BI, Databricks, and Azure Cloud, helping organizations centralize, transform, and use trusted data for better decision-making.

Leads real estate market research and analytics supporting franchise expansion, territory planning, site selection, portfolio optimization, and franchisee decision-making. Develops market models, dashboards, reports, GIS data, and territory packages; manages Sitewise and data integrations; evaluates demographics, competition, saturation, and location performance. Collaborates with development, marketing, real estate, franchisees, and external stakeholders on strategic analyses, special projects, and M&A evaluations.

Abstracts fatal overdose data from death certificates and coroner or medical examiner reports into SUDORS. Coordinates with public health, vital records, forensic, and law enforcement partners; performs data quality assurance, narrative reviews, case validation, closeout reporting, and database updates. The role follows confidentiality protocols, supports surveillance teams, attends workgroups, and may contribute to reports, manuscripts, and data briefs. Remote work supports New Mexico, with occasional on-site abstraction travel as needed.

Design and maintain conceptual, logical, and physical data models for scalable data architectures. Implement Data Vault structures, including Hubs, Links, and Satellites, across enterprise data lakes and lakehouses. Deploy models using Azure data services, optimize performance, document data flows, and collaborate with engineers, scientists, analysts, and stakeholders. Apply data modeling best practices, integration techniques, security standards, and compliance requirements.

Build and own AAG’s consolidated data warehouse, including production-grade infrastructure, ELT pipelines, dimensional models, and reporting layers. Integrate data from ERP, CRM, and manufacturing systems into Databricks on Azure, maintain reliable data flows, and support business decision-making across the organization. Collaborate with leadership to translate requirements into code, while managing system development, maintenance, documentation, and continuous improvement.