Top Entry Level Data & Analytics Jobs in Boston, MA

The Renewable Cost Analyst role involves analyzing renewable asset costs, responding to client inquiries, collaborating with various teams, and developing data-driven insights for the renewable sector.

Evaluate and create AI-generated content in German. Review writing for factuality, completeness, and grammar while producing original content.

Design, build, and maintain scalable ETL/ELT pipelines and data models to populate the data warehouse. Write reusable SQL and Python to transform data, monitor pipeline reliability and quality, enable AI workflows, collaborate with stakeholders, and drive adoption of modern data stack technologies (DBT, Iceberg, Databricks). Support data governance, observability, and security practices.

Remote entry-level Big Data Engineer role building data acquisition and munging pipelines. Requires strong Python3 (NumPy, Pandas), advanced SQL, scalable algorithm and data-structure implementation on distributed clusters, converting code to functional paradigms, and the ability to learn PySpark or Kafka quickly. Product-development, startup experience and real-world pipeline projects preferred.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.

The Instructional Designer I creates high-quality online courses, interacts with various teams, and requires strong communication and project management skills.

The Neuroimaging Engineer will analyze MRI data, develop software for algorithms, and assist in managing neuroimaging databases and quality assurance.

General application to Cardamom's talent pipeline for roles across Epic analytics, data & analytics, project/product management, and internal functions. Candidates can submit for Epic analyst, data engineering, data science, interoperability, BI, software development, and entry-level roles (Madison local). Talent team reviews submissions and contacts matches for current or upcoming openings.

Support business analysis by eliciting functional requirements, performing data analysis with SQL, assisting developers, supporting QA and UAT, and contributing to documentation and implementation plans under senior guidance.

Manage client data reconciliation projects by establishing broker data connections, preparing and verifying large datasets, troubleshooting broker feeds, responding to inbound client queries via Salesforce ServiceCloud, demonstrating services and identifying cross-sell opportunities, and supporting ad-hoc operational projects to improve team effectiveness.