Top Analyst Jobs in Boston, MA

Analyze payer operations and health services data to identify trends, improve claims and member processes, and support modernization initiatives. Build dashboards, reports, and statistical analyses; validate data across systems; translate findings into client recommendations; collaborate on requirements and deliverables; manage workstreams; and mentor junior team members in a client-facing advisory environment.

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.

The GTM Operations Analyst optimizes Mirakl’s go-to-market technology stack and builds multi-channel outbound campaigns. Responsibilities include developing persona-specific prospecting strategies, using AI and data enrichment to identify buying signals, coordinating campaigns with Marketing, tracking pipeline through Salesforce, and improving commercial workflows with Sales, Marketing, and RevOps. The role is hybrid in Boston and supports business development across North America.

Supports Wealth Management and the MMLIS Advisor Loan Program through financial analysis, deal and loan modeling, profitability and sensitivity analysis, dashboards, data visualization, and business insights. Uses SQL, Python, Excel, and BI tools to analyze complex datasets, automate workflows, identify trends, and develop KPIs. Partners with business and technology teams to improve analytics processes, support AI and automation initiatives, and communicate recommendations to leaders.

Supports managed account operations across multiple clients, including account administration, reconciliations, corporate actions, security master activities, performance reporting, onboarding, and exception resolution. The role processes account changes, resolves reconciliation breaks, maintains data integrity, supports platform testing and enhancements, and collaborates with clients, sponsors, operations, and technology teams.

Supports marketing FP&A through forecasting, variance analysis, regional investment consolidation, dashboards, accrual review, budget controls, business cases, and ad hoc analysis. Partners with marketing and finance leaders to explain performance, develop investment plans, improve reporting, and automate repetitive processes using AI and data modeling.

Leads advanced analytics, machine learning, and AI initiatives for Finance, developing predictive models, forecasting solutions, optimization, automation, anomaly detection, and conversational analytics. Partners with Finance, Data, Technology, and Engineering teams to translate business challenges into scalable solutions, establish governance and testing frameworks, evaluate model performance and bias, and drive adoption. Provides technical leadership and mentorship while supporting Finance transformation and continuous improvement.

Performs lease accounting and month-end close activities, including journal entries, reconciliations, financial reporting, forecasting, variance analysis, and audit support. Reviews ledger activity, ensures GAAP and compliance adherence, resolves financial issues, and recommends corrective actions. Leads process improvement using Lean Six Sigma, supports special projects, standardizes reporting processes, and mentors other associates while partnering across Finance, Real Estate, and business teams.

Supports pricing and promotion planning and execution across retail brands by managing systems, processes, requirements, issue resolution, testing, implementation, training, and adoption. Serves as a subject matter expert for DemandTec, Revionics, legacy platforms, data integrations, and commercial modernization initiatives. Partners with business, IT, data, vendors, and change-management teams to standardize workflows, define future-state capabilities, improve automation, and support enterprise pricing and promotion solutions.

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.

Drive product convergence analysis, manage requirements timelines, support legacy insurance book consolidation, and design cross-functional working models. The role partners with Product, Technology, Delivery, and Pricing teams to define property and specialty insurance requirements, shape transformation roadmaps, and keep complex initiatives aligned.

Build and maintain production forecasting models for recognized revenue and COGS, connecting product usage, pricing, infrastructure costs, and unit economics. Partner with Finance, Product, Engineering, Data Science, and Go-to-Market teams on planning, scenario analysis, variance investigations, and model governance. Establish forecasting standards, monitor accuracy and drift, develop scalable data foundations, and communicate insights to technical stakeholders and executives.

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.

Own customer success capacity and coverage models, account assignments, territory planning, renewal operations reporting, dashboards, and business review data. Analyze churn, coverage gaps, and capacity constraints; provide recommendations to leadership; automate recurring reports; and align definitions across Customer Success, Sales Operations, Finance, and Data teams. The role requires strong SQL, BI, spreadsheet, Salesforce, and Gainsight skills, with preferred Python or Snowflake experience.

Manage a caseload of workers' compensation claims across jurisdictions: investigate compensability, control medical care, negotiate settlements, coordinate return-to-work, partner with internal teams and vendors, identify fraud, and ensure compliant, cost-effective claim resolution while supporting injured associates.

Support Liberty Mutual’s Personal Lines Property & Specialty transformation by analyzing product differences, recommending portfolio convergence solutions, managing requirements timelines, developing legacy-book consolidation strategies, and designing cross-functional operating models. The role partners with Product, Technology, Delivery, and Pricing teams to define requirements, maintain roadmaps, resolve ambiguity, and keep complex workstreams aligned and progressing.

Analyze how customers use Hi Marley to guide product, customer success, and company decisions. Define feature success metrics, evaluate adoption funnels, measure pilots and utilization, present customer-facing insights, and establish trusted self-service reporting. Partner with Data Engineering to translate analyses into governed data models and communicate findings clearly to executives and customers.

Leads financial modeling, incentive plan analysis, quota setting, sales commission processes, and executive reporting. Partners with Sales, Finance, and GTM leaders to evaluate compensation strategies, identify performance trends, improve commission systems, strengthen SOX controls, and resolve payout issues. Provides technical leadership for CaptivateIQ and manages cross-functional projects involving financial planning, forecasting, and business recommendations.

Build and tune fraud detections across accounts, authentication, payments, and other high-risk flows. Lead threat hunts, identify emerging abuse patterns, improve fraud telemetry, and convert findings into automated, tested detections. Develop tools, dashboards, and enrichment for fraud operations; measure precision, recall, coverage, and detection speed; and collaborate with security, engineering, risk, product, and operations teams to address systemic fraud risks.

Produces tactical and strategic intelligence products using OSINT and digital investigations. Analyzes online footprints, assesses threats, develops executive-ready reports and briefings, manages investigative projects, evaluates tools and datasets, and advises clients on threat mitigation. The role also supports marketing materials, webinars, and conferences while working remotely with investigative technologies and collaboration tools.

Leads the technical direction and roadmap for MongoDB’s GTM analytics model portfolio. Translates sales and operations questions into scalable statistical and machine learning models, data pipelines, dashboards, experiments, and executive recommendations. Owns forecasting, segmentation, territory, account prioritization, and customer analytics programs; establishes model governance and measurement standards; partners with senior GTM stakeholders; and mentors analysts and data scientists.

Supports financial planning, forecasting, reporting, budgeting, variance analysis, and financial modeling across administrative functions. Prepares management reporting, tracks headcount and compensation, analyzes operating expenses, supports lease and capital reporting, validates data, and investigates variances. Builds dashboards and ad hoc analyses, maintains recurring FP&A processes, and improves reporting efficiency through automation and tools such as Workday, Office Connect, and Adaptive.

Leads reporting and analytics initiatives, develops Power BI dashboards and KPI frameworks, performs trend and root-cause analysis, supports forecasting, and delivers actionable insights to business leaders. Partners cross-functionally to define requirements, improve data governance, validate reporting, and establish scalable standards. Mentors analysts and guides complex analytics workstreams while remaining hands-on with report development, SQL data extraction, documentation, and performance measurement.

Evaluate, structure, and price consumer asset-backed transactions; develop capital structuring, pricing, and quantitative loan-performance models; and provide funding strategy insights. Partner with Capital Markets, Treasury, Merchant Pricing, Credit, Commercial, Product, and Engineering teams to support funding, product, and business decisions. The role also involves collaborating with accountants, rating agencies, and internal and external partners.