Top Entry Level Data & Analytics Jobs in Boston, MA

The AI Analyst Co-op will use Python, HTML, SQL, APIs, and AI tools to generate scalable insights for go-to-market teams. Responsibilities include personalizing BDR outreach by buyer persona, distributing market insights across sales, marketing, and partner resources, and collaborating with Platform Advisory. The role requires strong analytical skills, attention to detail, problem-solving persistence, and an understanding of technology’s role in improving operational efficiency.

Supports the development and maintenance of SQL and Python data pipelines, data models, semantic layers, dashboards, and reports. Performs data wrangling and preprocessing, translates business requirements into data solutions, and contributes to data governance, security, and quality assurance. Collaborates with cross-functional teams supporting marketing, engineering, product development, supply chain, finance, business analytics, and AI initiatives.

Designs conceptual, logical, and physical data models for R&D research and clinical domains. Translates scientific and business requirements into reusable, scalable, AI-ready data structures that support analytics, machine learning, data integration, and standardized workflows. Partners with domain experts, data engineers, architects, data scientists, and governance teams to apply enterprise standards, schemas, ontologies, metadata, quality rules, and lineage. Promotes shared data assets and ensures models are implementable, interoperable, and aligned with evolving R&D needs.

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

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.

Leads Citizens’ enterprise semantic analytics strategy and AtScale-based semantic layer operating model. Establishes governed, auditable processes for requirements, metric definitions, modeling, validation, certification, deployment, and change management. Oversees BI platform strategy across Power BI, Tableau, Alteryx, and WebFOCUS, while driving natural language query capabilities, business adoption, partner delivery, executive governance, and distributed team leadership.

Leads the team producing bespoke analytics, executive narratives, and client-ready materials for business reviews, renewals, save plans, and value realization. Builds intake, prioritization, quality, capacity planning, and delivery processes while partnering cross-functionally with client management, success, advisory, product, and commercial teams. Coaches a high-output team and develops reusable templates and storytelling standards that improve scalability, cycle time, and executive communication.

The posting identifies an Associate Director role focused on process data analytics at a cell and gene therapy company, but provides no specific responsibilities, qualifications, technologies, travel requirements, or clearance requirements.

Supports a university-wide training portal systems upgrade through business analysis, data integration, system configuration, testing, implementation readiness, reporting, and system administration. The role translates business needs into sustainable solutions, develops test scenarios, coordinates user acceptance testing, documents defects, supports issue resolution, and collaborates with internal teams and external consultants.

Analyze data and develop semantic models for certified data products covering rebates, sales-to-GMR, and inventory. Build and rationalize Power BI dashboards, collaborate with Finance and business stakeholders on requirements and user acceptance testing, and consolidate reports into certified data products. The role requires expertise in Power BI semantic modeling, DAX, advanced SQL, Athena, Redshift Spectrum, dimensional modeling, and star schemas.