Data Analyst Jobs in Cambridge, 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.

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.

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

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.

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.

The Senior Business Data Analyst leads client engagements, translating business needs into analytical solutions and leveraging AI tools to enhance data-driven decision-making.

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

Lead end-to-end marketing performance measurement, develop analytics frameworks, deliver insights, and drive business outcomes through advanced analytics and stakeholder collaboration.

The Product Operations Analyst analyzes product data and customer behavior to inform strategy, supports performance tracking, and drives continuous improvement through data insights and experimentation.

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

Own end-to-end API integrations (ingest and export) for customer data into CoStar Debt Solutions: scoping, credentialing, mapping, reliability, monitoring, and customer support. Build production-grade REST/GraphQL/webhook pipelines, scripts for transform/validation, and evolve integrations into agent-callable typed contracts.

The Business System Specialist will manage LIMS master data, provide end-user support, ensure compliance, and assist in process development for lab data management.

Partner with Product and Customer Success to build and maintain Snowflake-backed dbt models, dashboards, and KPIs. Ensure data quality and governed semantic layers, enable self-service analytics, support recurring reporting and executive reviews, and align analytics with Applied AI and automation workflows.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Audit and ensure quality of data labeling work for ML using human-in-the-loop processes. Provide feedback, train and support annotators, monitor workflows, identify recurring issues, and help improve guidelines and processes.

Partner with stakeholders to define metrics and deliver dashboards and insights. Build and optimize data models in Amazon Redshift, design and maintain scalable ETL pipelines using Python and Apache Airflow, monitor data quality and pipeline performance, and participate in code reviews and engineering best practices to support analytics and reporting needs.

Analyze and validate large benchmarking datasets, improve methodologies, support product enhancements, and engage directly with clients and sales to drive adoption and inform product strategy.

The Workday System Analyst is responsible for maintaining Workday data structures, configuring business processes, conducting data audits, and supporting system integrity and availability efforts.