Top Entry Level Data & Analytics Jobs in Boston, MA

Analyze Marketing data to develop monitoring systems, standardized reports, and dashboards. Write SQL queries, support dbt models, investigate channel performance, conduct root cause analysis, communicate findings to non-technical stakeholders, track incidents, and support vendor and data infrastructure evaluations.

Supports retail space planning through data analytics, performance reporting, and store layout optimization. Creates and validates Power BI dashboards and reporting tools, analyzes space productivity, maps data, and identifies actionable opportunities. Collaborates with Space Planning and Commercial Solutions teams while maintaining merchandising standards. The co-op combines business analytics, retail strategy, database concepts, data visualization, and emerging AI tools in a hybrid environment.

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support insights within the insurance industry. Complete curated training, mentorship, and rotational assignments while developing analytical, technical, strategic, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies.

Analyze and visualize large customer datasets, build production-grade data models and scalable data products, automate manual analytical workflows, and create AI-assisted, conversational, and self-service analytics experiences. Translate ambiguous stakeholder needs into actionable solutions while collaborating across teams and experimenting with generative AI and modern data technologies.

Supports Fidelity’s electronic trading business through data analysis, Tableau dashboards, forecasting, KPI reporting, root-cause investigation, and business intelligence. Gathers requirements, documents processes, evaluates solutions, and leads cross-functional initiatives across trading, product, technology, operations, compliance, and business teams. Translates complex data and business needs into actionable recommendations and scalable solutions while coordinating execution from concept through implementation.

Analyze centrally managed datasets using SQL and basic Python to answer ambiguous business questions, develop clear narratives, and deliver recommendations that support strategic and financial decision-making. The role partners cross-functionally with technical teams and business leaders, translates analytical findings into actionable insights, and helps maximize the value of the company’s data infrastructure.

Supports the Investment Platform Business Intelligence team through data analysis, dashboard and visualization development, reporting enhancement, process automation, data validation, and management reporting. The co-op will coordinate meeting materials, capture follow-ups, translate business requirements into analytical solutions, and collaborate with global investment and business stakeholders. The role requires strong communication, writing, Excel, analytical, and problem-solving skills, with exposure to investment management and modern data tools.

Entry-level role supporting BI team by building and maintaining Power BI reports, dashboards, and data models under guidance. Learn Excel (advanced formulas, intro to VBA), DAX, Power Query, and basic SQL. Support CRM reporting and automation, assist AI adoption (Claude) and SharePoint knowledge management, validate report accuracy, gather reporting requirements, and participate in training and mentorship. Develop insurance industry familiarity.

Leads a data engineering team that builds scalable big data applications and ETL workflows. Oversees data quality, security, privacy, architecture, documentation, and operational efficiency. Develops reusable Python and SQL code for data warehouses, distributed processing, cloud platforms, and data-driven solutions. Collaborates with application architects, development teams, project teams, and business stakeholders while supervising team activities and meeting project priorities.

Own operational processes in Addepar, onboard complex client relationships, build alternative transaction histories, create alternative assets, and produce recurring and ad hoc portfolio reports. Analyze investment data, troubleshoot reporting issues, improve processes, document data governance, manage reporting projects, and develop industry insights. The role requires expertise with Addepar, Canoe, Excel, and alternative investment products.