Top Analytics Jobs in Boston, MA

Analyzes operational, customer survey, qualitative, and unconventional data using Snowflake and SAS to identify retention drivers and customer pain points. Synthesizes findings into recommendations, improves reporting, provides operational consulting, and presents insights to senior leadership. Requires strong statistical, analytical, communication, and cross-functional collaboration skills.

Analyzes complex regulatory data requests across insurance, underwriting, compliance, and business data sources. Translates ambiguous requirements into precise data rules, delivers defensible analysis, collaborates cross-functionally, and develops reporting for leadership. Documents data sources and business logic, improves request workflows through automation and AI, and leads projects from scoping through delivery.

Develop advanced statistical models and custom analyses to solve client business challenges. Use R, Tableau, SAS, Visual Basic, VBA, Excel, and related technologies to analyze data, guide decisions, and create client deliverables. Present findings, manage client relationships, provide project updates, implement solutions, and mentor Associates. The role requires strong quantitative education, programming or analytics experience, communication skills, teamwork, and availability for full-time work in 2026.

Analyzes complex regulatory data requests across insurance data sources, translates ambiguous guidance into precise requirements, collaborates cross-functionally, and delivers defensible findings. Builds reporting for leadership, documents data logic, and improves processes through automation, AI-assisted analysis, and reusable data practices. Leads projects independently and serves as a trusted expert in underwriting data and business processes.

Analyze operational, customer survey, qualitative, and unconventional data to identify retention drivers and customer pain points. Synthesize findings into actionable recommendations, improve reporting, provide operational consulting, and present insights to senior leaders. The role requires advanced statistical and analytical skills, strong SQL and Snowflake capabilities, familiarity with Python and Cortex, and effective cross-functional communication.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.

Leads and manages a business analyst team supporting a data platform. Partners with clients, product managers, engineers, and stakeholders to gather requirements, write user stories, perform data gap analyses and source-to-target mapping, validate data using SQL, and support data quality, lineage, QA, Agile delivery, change management, and documentation. Requires healthcare data expertise, people leadership, strong communication, and experience translating technical information for varied audiences.

Own commercial analytics for direct-to-consumer and marketplace channels, analyzing pricing, promotions, conversion funnels, merchandising, product mix, customer behavior, and channel economics. Build scalable reporting tools, support forecasting and planning, and translate transactional and behavioral data into recommendations for digital commerce leadership. Partner with Marketing Analytics and Analytics Engineering to connect acquisition trends with commercial outcomes and ensure trusted data.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Lead Toast’s global People Analytics function across data engineering, analytics, data science, and employee listening. Set the people data and reporting strategy, establish trusted metrics and governance, partner with executives on workforce decisions, measure People program impact with Finance, and build scalable self-service analytics. Manage a distributed US and India team, oversee executive and board-level workforce analysis, and collaborate with privacy, legal, People technology, AI, and data engineering teams.

Leads and scales Hi Marley’s analytics function, managing analysts and hiring as the team grows. Establishes trusted company metrics, self-service analytics, standards, and an analytics roadmap. Partners with Product, Customer Success, Growth, Marketing, Finance, and Data Engineering on product, customer, revenue, financial, billing, marketing, experimentation, and utilization analysis. Develops people, communicates insights to executives, and drives data-informed decisions across the organization.

Develop market intelligence, forecasting, statistical models, scenario analyses, and automated reporting for supply chain decisions. Integrate internal and external datasets using Python, R, SQL, and other tools; build dashboards; support data governance; and translate analytical findings into recommendations for procurement, planning, and executive stakeholders.

Own the analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and outcomes with cross-functional stakeholders. The role requires independent data work, strong problem solving, persuasive communication, and end-to-end ownership of ambiguous initiatives.

Own the analytical function for a business unit such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; communicate insights and recommendations; and drive decisions and outcomes with cross-functional stakeholders. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous initiatives.

Leads commercial analytics and optimization across pricing, promotions, forecasting, financial modeling, and business intelligence. Develops analytical models, evaluates promotional effectiveness, monitors commercial KPIs, and creates dashboards and performance scorecards. Translates complex data into actionable recommendations for Commercial and Operations leaders, validates reporting data, and identifies revenue and profitability opportunities. Manages and develops a Reporting Analyst while partnering with cross-functional teams on continuous improvement.

Leads commercial analytics, pricing optimization, promotional effectiveness measurement, forecasting, financial modeling, dashboards, and performance reporting. Translates transaction and product data into recommendations that improve revenue and profitability. Partners with Commercial and Operations teams, validates reporting data, evaluates vendor-funded programs, and manages a Reporting Analyst.

Leads commercial analytics and optimization, including pricing strategy, elasticity analysis, forecasting, financial modeling, promotional effectiveness, dashboards, and performance reporting. Translates complex transaction and purchasing data into recommendations that improve revenue and profitability. Partners with Commercial and Operations teams, validates reporting data, and manages a Reporting Analyst. The role requires advanced Excel, SQL, business intelligence, statistical modeling, and quantitative analysis skills.

This is a general interest opportunity for candidates who want to connect with QuickLaunch Analytics for potential future roles. The company delivers enterprise data analytics solutions using Power BI, Databricks, and Azure Cloud, helping organizations centralize, transform, and use trusted data for better decision-making.

Develop data and analytics solutions for the supply chain organization. Responsibilities include collecting, cleaning, and analyzing data; creating digital products and visualizations; collaborating with business units to meet requirements; presenting solutions; and training end users. The intern will also support continuous improvement initiatives and gain exposure to analytics application development and supply chain operations.

Supports healthcare implementation projects, business workflow documentation, process improvement, work plans, and deliverables. Reviews large datasets from multiple sources to identify outliers, monitor trends, and prepare state-mandated reports. The internship provides experiential learning for undergraduate students interested in healthcare or data analytics.

Leads healthcare risk adjustment predictive analytics, including intervention targeting, risk-score tracking, reporting, data quality assurance, statistical analysis, forecasting, root-cause analysis, and data warehouse reporting enhancements. Partners with cross-functional stakeholders, supports CMS and state regulatory requirements, develops automated analytics solutions, manages special projects, and trains analytics team members.

Leads Customer Success analytics strategy, executive business reviews, customer experience and voice-of-customer insights, enablement impact measurement, and data foundation development. Manages two analysts, partners with data engineering and data science, applies statistical and experimental methods, analyzes structured and unstructured customer data, and uses AI tooling to improve self-service and recurring analytics. Translates ambiguous business questions into actionable recommendations for senior leaders.

Conduct media mix modeling, experimentation, incrementality analysis, forecasting, and marketing performance reporting. Build scalable analytical tools, automated workflows, Tableau dashboards, and statistical resources using SQL, Python, and BI platforms. Partner with Marketing, Data Science, Data Engineering, Finance, and Sales teams to improve measurement capabilities, operationalize data structures, and translate complex findings into actionable business recommendations. Maintain analytical standards, documentation, and quality controls.

Leads advanced data analytics and customer insights initiatives, analyzing structured and unstructured datasets, developing statistical insights, dashboards, reports, and data-driven recommendations for organizational leaders. The role partners with cross-functional teams to support strategic prioritization, improve customer experiences, and advance digital transformation. Responsibilities include querying big data platforms, communicating findings, and applying AI, generative AI, and automation to improve insight generation.