Top Analyst Jobs in Boston, MA

Supports ETF fund servicing and Authorized Participant operations by managing trading activity, resolving orders and reconciliation breaks, tracking settlements, processing collateral and wire requests, producing reports, and maintaining client communications. The role ensures regulatory and control compliance, reports KPIs, and partners with technology teams to automate and improve operational processes.

Analyzes performance for motorcycle, RV, watercraft, and classic car insurance products; identifies trends, evaluates competitors and regulatory filings, recommends product improvements, and supports strategic initiatives. The role queries data, builds analytical tools, manages projects, presents findings to product managers, and collaborates with underwriting, actuarial, regulators, and business stakeholders to drive profitable growth.

Performs data analysis, cleans and validates data, identifies trends and anomalies, builds dashboards and reports, and supports KPI development. Collaborates with engineers and business stakeholders to improve data quality, pipelines, reporting requirements, and analytical processes. Leads data-driven change management, communicates insights, shares best practices, and may support urgent IT incidents.

An 11-week analyst internship involving qualitative and quantitative data analysis, performance trend research, opportunity identification, and recommendations supporting business decisions in the insurance industry. Interns collaborate individually and in teams, use analytical and technical tools, participate in training, and develop business acumen while exploring potential full-time opportunities.

Leads business analysis for regulatory data and system capabilities across the GRIDS portfolio. Partners with regulatory stakeholders and Digital & Technology teams to elicit requirements, facilitate workshops, assess process and data impacts, create functional specifications and user stories, support Agile delivery, and improve regulatory processes, data quality, and system adoption. Requires substantial life sciences or regulatory business analysis experience and knowledge of Veeva RIM and GxP environments.

Serves as a strategic liaison between regulatory stakeholders and Digital & Technology teams. Elicits and documents requirements, facilitates workshops, translates business needs into specifications and user stories, assesses process and data impacts, supports Agile delivery, and identifies opportunities for regulatory process optimization, data quality improvement, and system capability advancement.

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.

Manages sales territory and account governance, including territory design, account assignment, hierarchies, recurring billing alignment, quota inputs, data integrity, reporting, and operational requests. Reconciles data across systems, investigates exceptions, coordinates corrections, and partners with Sales, Finance, Marketing, and leadership to maintain accurate coverage and service levels.

Maintains lead-routing rules, monitors service levels, and analyzes sales funnel, pipeline, velocity, conversion, and Outreach engagement data. Reconciles information across CRM and sales systems, produces recurring reports and dashboards, investigates data discrepancies, and provides actionable insights to Sales Operations and leadership. The role also supports data quality, operational requests, and AI-augmented workflow improvements.

Participates in a rotational actuarial leadership development program supporting various business lines and actuarial functions. Completes meaningful projects, applies quantitative and analytical skills, prepares for actuarial exams, and develops industry knowledge and leadership capabilities through mentoring, seminars, networking, and corporate learning programs. The role requires pursuing Society of Actuaries Fellowship and offers exam support, paid study time, and opportunities for advancement.

Leads technical delivery, support, configuration, testing, and continuous improvement for warehouse management systems, with Manhattan Active preferred. Serves as a technical subject matter expert, translates business needs into requirements, partners with engineering and product teams, manages suppliers, leads complex projects, performs root cause analysis, and ensures stable 24/7 operations. Coaches analysts and supports implementations, production turnover, system monitoring, and post-production stabilization.

Manage planned, seasonal, and ad hoc product allocations across distribution centers. Monitor inventory, create daily allocation plans, track allocation status, investigate system exceptions, identify root causes, and coordinate solutions with brand, distribution, store operations, procurement, and IT partners. The role supports supply chain efficiency, maintains reporting, ensures facility service levels, and analyzes complex inventory and allocation data.

Supports payroll technology solutions by translating business needs into technical requirements, coordinating with stakeholders and technology teams, leading user acceptance testing, evaluating Workday releases, improving payroll processes, and analyzing incidents and system performance. The role also performs root cause analysis, monitors payroll outcomes, documents requirements, and recommends solutions to improve efficiency, accuracy, and compliance.

Own and improve Excel financial models, revenue reporting, KPIs, and Power BI dashboards. Gather and validate data from business systems, support budgeting, forecasting, and long-range planning, and analyze actual results against plan. Present revenue performance insights to finance leadership and executives, partner cross-functionally on ad hoc analysis, improve reporting processes, and contribute to automation and AI initiatives.

Leads quality data analytics and oversight for R&D digital initiatives. Builds dashboards, reports, data foundations, and visualization solutions; defines data-quality rules; investigates data issues; supports digital-tool maintenance, access, training, and adoption. Ensures compliance with SDLC, GxP, and ALCOA+ standards while modernizing quality reporting. Partners with stakeholders, IT, and business teams using Agile and design-thinking practices, and communicates delivery status, risks, and issues to leadership.

Manage the Mastercard Economics Institute’s operational cadence, including calendars, meetings, research delivery protocols, finance and budget processes, stakeholder coordination, vendor relationships, and operating-procedure improvements. The role supports meeting content, tracks organizational requirements, identifies operational blockers, and routes issues for resolution across global teams.

Develop strategic frameworks and hypotheses for ambiguous business questions, synthesize qualitative and quantitative insights, and create executive- and Board-ready recommendations. Support business unit and product portfolio strategy by evaluating markets, consumer needs, competition, economics, investment choices, and growth opportunities. Collaborate cross-functionally with Product Management, Finance, Marketing, Engineering, Design, Sales, and Supply Chain to inform long-term business decisions.

Supports licensed wealth advisors by coordinating client meetings, preparing financial plans, gathering and analyzing client data, researching portfolios, preparing reports, managing account service tasks, and assisting with follow-up activities. The role develops technical, analytical, organizational, and client-service skills while preparing the employee for Series 65 licensure and eventual progression into a client-facing advisor position.

Develop quantitative models and systematic fixed-income investment strategies, build analytics and visualization tools, and apply machine learning and GPT-based solutions to investment analysis. Collaborate with portfolio managers, traders, and risk managers on portfolio construction, performance attribution, and strategic projects. Manage multiple initiatives while improving data pipelines, dashboards, and investment decision-making capabilities.

Own customer security reviews, questionnaires, RFP responses, and due-diligence requests. Support SOC 2 Type II and ISO audits by coordinating evidence, auditor interactions, and remediation. Maintain security, privacy, and AI governance policies and controls, including frameworks such as ISO/IEC 42001 and NIST AI RMF. Partner with Product, Engineering, DevOps, Security, Sales, and Legal to explain cloud controls, manage customer trust requirements, and address control gaps.

Own wholesale performance reporting and analysis across retail partners, products, and regions. Build datasets, data models, dashboards, and automated reporting while validating data quality. Analyze sell-through, inventory, pricing, promotions, and commercial trends to identify growth opportunities. Partner with stakeholders across Wholesale, Digital Commerce, and Marketing to frame analytical questions, communicate findings, and provide actionable recommendations.

The AI Analyst Co-op will use Python, HTML, SQL, APIs, and AI tools to generate scalable insights for go-to-market teams. Responsibilities include personalizing BDR outreach by buyer persona, distributing market insights across sales, marketing, and partner resources, and collaborating with Platform Advisory. The role requires strong analytical skills, attention to detail, problem-solving persistence, and an understanding of technology’s role in improving operational efficiency.

Provide analytical, sourcing, and operational procurement support for technology suppliers. Perform spend, pricing, utilization, and supplier analyses; build dashboards and reports; support RFx, commercial benchmarking, negotiations, contract and license administration; maintain supplier and contract data; partner with Finance and Technology on budgeting, forecasting, license optimization, onboarding, security/privacy reviews, and process automation.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.