Top Analytics Jobs in Boston, MA

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.

The Data Analytics Co-op will assist in developing analytical solutions for fulfillment performance, collaborating with cross-functional teams to interpret and create data models and dashboards.

The role involves leveraging data analytics and advanced techniques to provide client insights, manage financial data, mentor juniors, and uphold quality standards.

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.

The Senior Data Analyst will provide data analysis to drive strategic decisions, utilizing SQL and Python for insights and data visualization, engaging with cross-functional teams, and developing interactive dashboards.

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.

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 Catastrophe Modeling Analyst supports research and analytics, integrating data from multiple sources to forecast deliverables and validate models.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

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.

As an Analyst at Hayden, you will provide analytic support, execute methodologies, validate outputs, and contribute to novel analytics while collaborating with teams to address key business questions.

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

The Portfolio Analytics Analyst gathers and analyzes data to support the portfolio management team, utilizing Python and SQL for insights and decision-making.

Lead strategy and delivery of long-term care fraud prevention and detection capabilities. Prioritize and oversee analytics and IT squads to design, test, and operationalize predictive models and controls. Collaborate with stakeholders, monitor model performance, mentor staff, and drive process improvements, roadmaps, and cross-functional integrations to reduce fraud and false positives.

The Business Insurance Analytics Associate supports the analytics strategy, analyzes claims data, advises clients on insurance options, and collaborates with various teams for seamless client service.

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.

The Actuarial Analyst analyzes and forecasts data to support strategic decisions, ensures data integrity, and collaborates with stakeholders on business needs.

The Senior Analyst role involves data analysis, report creation, and providing insights to support business decisions. The analyst will work with stakeholders to identify opportunities based on data trends and performance metrics.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

The Staff Advanced Analyst will drive data analytics to improve CS Safety experiences, influence product decisions, and build measurement tools using data-driven insights.

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.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

Lead marketing analytics engagements: perform advanced analysis and predictive modeling (R, Python, SAS, SQL, Excel), synthesize insights into strategic recommendations, manage project delivery and client relationships, and mentor junior staff.