Top Analytics Jobs in Boston, MA

Develop and apply advanced statistical models, design custom analyses (Python/R/Tableau/SAS/Excel), synthesize and present results to clients, manage client relationships, create deliverables, and mentor junior team members.

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

The Credit Process and Analytics Analyst supports credit risk analytics and allowance workflow, collaborating with Finance and Accounting on reporting and documentation.

The role involves developing statistical models and analyses to address client business issues, guiding decision-making with data insights and mentoring associates.

As an Analyst I, you'll analyze data to inform business decisions, collaborate with stakeholders, and develop reporting solutions to enhance customer experiences and business performance.

As a Senior Analyst, you'll analyze customer behavior, evaluate promotional strategies, and provide data-driven insights to influence key business decisions at DraftKings.

As a Senior Analyst in Marketing Analytics, you'll improve the Refer-a-Friend program through end-to-end analysis, design experimentation strategies, and collaborate with cross-functional teams.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Senior Manager, Risk Analytics will build and own Upstart's risk analytics program, managing Key Risk Indicators, data models, and reporting infrastructure for enterprise-wide risk monitoring and compliance. They will collaborate with risk owners and conduct data aggregation and reporting, supporting risk assessments and regulatory requirements.

The role involves developing and maintaining mathematical/statistical models for financial analytics, automating processes, and enhancing decision-making for clients.

Analyze client data, produce project deliverables, support project workstreams and client meetings, prepare reports and presentations, assist senior team members with proposals and marketing, and contribute to divisional growth while following a defined consulting career path.

Analyze business and technical processes, document system flows, collaborate with teams, and ensure effective product delivery efforts.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

The Senior Data Scientist drives data initiatives, manages pipelines, collaborates cross-functionally, and mentors team members while applying advanced AI methodologies for insights and decision-making support.

The Senior Data Scientist will analyze product data, design A/B tests, define KPIs, and collaborate with teams to improve product performance and user experience.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

The Data Analytics Analyst/Manager will deliver data-driven insights, support analytics for Cloud Leaders, and manage stakeholder relationships, requiring advanced data analysis skills.

The Analyst I will own analytics workflows, drive improvements, build data models, and support business metrics while collaborating across teams.

This role involves developing and validating Process Analytical Technology methods, supporting GMP continuous manufacturing, and conducting analytical method development and validation in drug product development.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.