Top Analytics Jobs in Boston, MA

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.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

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.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

This Data Analytics Co-op involves collaborating with teams to develop analytical solutions, enhance fulfillment performance, and contribute to data modeling and dashboard creation.

As a Supply Chain Data Analytics Co-op, you'll support analytics projects, using various data engineering and predictive modeling techniques in a collaborative environment.

As an Analyst II, you'll design A/B tests, partner with teams for data-driven promotional decisions, and create datasets for analysis to improve customer offers.

As an Analyst II, you'll analyze data for risk detection and enhance Anti-Money Laundering defenses, collaborating with multiple teams to operationalize risk insights.

Support client engagements applying optimization, operations research, and AI-enabled analytics to logistics, transportation, warehousing, and distribution. Build models (LP/IP, network flow, heuristics, simulation), analyze messy data, design AI-enabled decision systems, produce client-ready deliverables, and collaborate with stakeholders to implement recommendations.

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.

The State Manager Analyst III manages strategies for profit growth, conducts market analysis, and tracks project performance, assisting in business objectives.

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.

Lead marketing analytics strategy and architecture, develop ML models (media mix, propensity, LTV), design experiments and causal inference, partner with data engineering to build scalable ETL and reporting, automate processes, deliver executive dashboards, and mentor junior analysts.

The Advanced Analytics Analyst II analyzes healthcare data to support contracting strategies, develops SAS programs for quality metrics, and troubleshoots reporting issues while maintaining documentation and project requirements.

The Risk Analytics Associate will analyze client data, deploy AI models for synthetic data generation, and communicate insights to stakeholders, adhering to data privacy standards.

Lead daily, monthly, and quarterly driver-based forecasting for sales, subscriptions, and unit economics. Build time-series and causal models, incorporate marketing incrementality and experiment results, produce scenario planning, tie forecasts to Direct P&L, track forecast performance, and partner with cross-functional teams to improve data pipelines and forecast accuracy.

This Senior Actuary role focuses on leading strategic initiatives, conducting financial analysis, developing methodologies, and influencing cross-functional teams to optimize health care programs.

The Associate Actuary conducts analysis, pricing, and risk assessment to estimate financial outcomes, supporting internal and external initiatives with innovative methodologies and data-driven insights.

Analyze complex people data to identify trends and risks, leveraging automation for improved efficiency. Collaborate on people strategies and initiatives, providing actionable insights through data analysis.

The Principal, Advanced Analytics - Subscriber Forecasting leads forecasting methodologies and develops frameworks for subscriber volume forecasting, integrating advanced analytics, time-series modeling, and AI. Responsibilities include scenario planning and cross-functional collaboration to inform enterprise decision-making.

The Fraud Risk Analytics Manager will lead fraud risk strategy optimization and provide analytical insights to reduce fraud risk and enhance customer outcomes. They will partner with teams to ensure transparency and governance in fraud strategies, using advanced data analysis techniques to drive decision making.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

Analyze and forecast financial data for strategic decisions, lead a team, ensure data integrity, and advise executives. Requires extensive actuarial experience and modeling proficiency.

The Lead Quantitative Analytics Associate conducts statistical analyses and builds predictive models, responding to business needs and enhancing existing models. They work with large datasets, ensuring data management and model maintenance, while communicating insights effectively within the organization.