Top Data Analyst Jobs in Boston, MA

Partner with Sales, Product, Engineering, and Operations to build the GTM analytics foundation for a new dealer software pillar. Own pipeline, install base, churn, demo-to-close, and launch analytics; identify and fix Salesforce/process gaps; create prospecting and churn-risk signals; write production-grade SQL on Snowflake and productionize assets in dbt; and maintain dashboards in Looker, Omni, and Salesforce CRM Analytics to drive measurable go-to-market execution.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Principal Data Analyst will manage paid media analytics and operations, ensuring data quality, compliance, and actionable insights while collaborating with media buyers to improve performance and ROI.

Design and build analytical tools, financial models, and reports to support multi-year planning, annual budgeting, forecasting, and budget-to-actual monitoring. Develop SQL/PLSQL queries and Oracle Analytics dashboards, reconcile data sources, translate business requirements into reports, and provide analytical support for senior leadership decision-making.

Lead operational analytics for Pricing Solutions by defining and owning KPIs, building dashboards, conducting root-cause analysis, and partnering with operations to design and implement data-driven process improvements that improve cost, quality, and throughput.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

The HR Data Analyst conducts workforce analytics, produces dashboards, identifies trends, and supports HR decision-making by ensuring data accuracy and integrity.

Support Finance modernization by translating stakeholder needs into BI and automation solutions. Develop and maintain analytics, reports, and low-complexity automations; ensure data quality; support UAT and deployments; provide post-deployment support, documentation, and training; and apply continuous improvement practices to Finance processes.

As a Data Analyst, you will enhance analytical models, analyze model outputs, support data solutions, and communicate findings effectively.

Provide data analysis, reporting, and visualization across post-market surveillance, manufacturing, R&D, and clinical sources. Automate and maintain reports and dashboards, perform data extraction/cleaning, support validation and code review, translate stakeholder needs into deliverables, and collaborate with statisticians and business partners to improve workflows and reporting.

Analyze RF signal data to create structured datasets for machine learning, collaborating with DSP and ML teams to improve labeling standards.

This role leads reporting and analytics for business transformation, managing data requirements and collaborating across teams to enhance reporting processes.

The Senior Product Data Analyst drives insights to shape product decisions, collaborates with UX and Engineering, and builds dashboards.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

As a Lead Data Science Analyst, you will develop predictive models, conduct statistical analyses, and create AI-driven solutions to enhance GTM strategy and customer outcomes.

Design, build, and maintain ETL processes, data models, queries, and reports. Produce statistical and narrative analyses, develop visualizations and self-service reporting, ensure data quality, support projects, audits, and stakeholder requirements, and train/consult with end users.

Build and maintain finance data models and pipelines in Snowflake/dbt, produce financial dashboards in Power BI/Tableau, perform variance and forecasting analysis, ensure data governance and quality, and design AI-driven automation and conversational analytics to streamline finance workflows.

The Sr. Data Protection Analyst will build and manage a data protection program, oversee DLP and eDiscovery technologies, and work with technical and legal teams.

The Data Analyst will focus on digital consumer/patient experiences, driving measurement and insights, audience activation, and reporting using data analytics and AI solutions.

The Lead Data Analyst will partner with the General Manager to drive data initiatives, lead investigations into metrics, and design analytical frameworks to evaluate product growth, including A/B testing and financial storytelling.

Lead marketing analytics and root-cause investigations across the B2B SaaS funnel. Maintain data integrity and dashboards, monitor integrations (Marketo, Salesforce, 6Sense, Snowflake), quantify impact of trends, and recommend corrective actions. Architect and train AI/agent-driven analytics (Ask Anything), build semantic layers in Sigma/Snowflake, validate agent outputs, and partner with Revenue Marketing and Strategy teams to drive data-backed decisions and mentor junior analysts.