Data Analyst

• Manage and coordinate the North American Extended Producer Responsibility (EPR) program.
• Drive execution, reporting, and performance measurement to support compliance with evolving packaging legislation across the U.S. and Canada.
• Serve as the primary liaison across Procurement, Packaging Engineering, Operations, Finance, Legal, Sustainability, and other key stakeholders.
• Align cross-functional efforts, synthesize data from multiple systems, and deliver insights that support compliance, business decision-making, and program effectiveness.
• Oversee EPR reporting, develop dashboards and executive reporting, and support forecasting, scenario planning, and continuous improvement initiatives.
• Establish and maintain reporting methodologies aligned with company standards and governance requirements.
• Track compliance obligations, reporting deadlines, and emerging regulatory requirements.

Senior Analyst, Business Insights – Analytics

• Own and execute reporting for core SaaS sales KPIs including quota attainment, win/loss rates, average deal size, sales cycle length, pipeline coverage, forecast accuracy, and rep productivity.
• Perform ad-hoc analyses to support Sales Leadership and Revenue Operations teams. Translate complex data into clear, compelling visual stories that drive decision-making.
• Serve as the go-to analyst for pipeline and forecast reporting — tracking stage-over-stage progression, identifying deal slippage and bottlenecks, and surfacing insights that help sales leadership optimize resource allocation and coaching efforts.
• Build and maintain automated data feeds, alerts, and notification workflows within DOMO. Streamline recurring reporting processes to reduce manual effort and improve data freshness.

Sales Performance Data Analyst

• Build Dashboards, Reports, and Automate Processes (50%)
• Maintain and enhance existing dashboards by collaborating with business partners to understand reporting needs, prioritize requests, and implement data-driven improvements.
• Develop and maintain a data dictionary that clearly documents and defines key metrics, data sources, and calculation methodologies to promote consistency and transparency.
• Partner with the Data Infrastructure team to define reporting requirements and data models to shape self-service analytics.
• Review and analyze existing reports to ensure alignment in metric definitions, improve data accuracy, and identify opportunities to consolidate or retire redundant reports.
• Conduct audits of existing reports and distribution lists to verify appropriate access, ensure compliance with data privacy and confidentiality requirements, and support responsible data governance.
• Maintain existing automations and develop additional process automation required for automated reporting and dashboard updates.
• Data Analysis (25%)
• Analyze data to identify trends, patterns, and insights, and translate findings into clear, actionable recommendations to support workforce and business decisions.
• Respond to ad hoc data requests by preparing clear summaries and visualizations that accurately describe the requested data, highlight key takeaways, and support informed decision-making.
• Support data literacy efforts by helping business partners and other employees understand how to interpret, use, and apply data appropriately in compliance with established definitions, privacy standards, and reporting guidelines.
• Data Stewardship (25%)
• Support data stewardship practices by helping to document data ownership, data definitions, and usage standards to promote data quality, consistency, and accountability.
• Assist in monitoring data quality and integrity by identifying data issues, escalating discrepancies, and partnering with system owners to support remediation efforts.
• Partner with the Data Governance team to define and enforce BOSS data standards.

Lead Associate, Business Operations – Shared Services Data Analyst

• Design and maintain scalable dashboards and performance reporting to measure partner health, funnel performance, and portfolio economics and drive action.
• Support analytical workstreams for partner diligence, onboarding, and optimization — including forecasting and ROI modeling.
• Build frameworks to evaluate partner economics versus expectations.
• Partner with Product, Business Development, and Marketing to evaluate new opportunities, test hypotheses, and guide investment decisions.
• Design and execute experiments (A/B or quasi-experimental) to assess and improve partner conversion funnels.
• Collaborate with data engineering to enhance data pipelines and ensure accurate, reliable partner reporting.
• Translate technical insights into clear, actionable recommendations for stakeholders.

Senior Data Analyst, Partner Analytics

• Complete and distribute routine reporting that tracks and measures initiative performance.
• Prepare daily, weekly, and monthly reports and findings for management review.
• Identify opportunities to utilize data analytics tools (Tableau, SQL, MS Excel, and other data mining tools) to monitor, extract, and evaluate data for streamlining existing storage and reporting processes.
• Track and analyze business unit trends and provide recommendations to positively impact departmental operations and maximize existing initiatives.
• Assist in quality assurance and testing when implementing new processes, procedures, and systems.
• Create and modify technical documentation including Business Requirement Documents and test cases for department projects.

Data Analyst I

• Collect, abstract, analyze, and accurately code complex clinical data for trauma patients, capturing 88–200 data elements per case from both electronic and paper medical records.
• Apply advanced knowledge of trauma coding standards, including Abbreviated Injury Scale (AIS), ICD-10 coding, trauma scoring methodologies (GCS, ISS, TRISS, POS), and other regulatory requirements.
• Determine case inclusion and ensure compliance with standards established by the American College of Surgeons (ACS), National Trauma Data Bank (NTDB), Trauma Quality Improvement Program (TQIP), and the Massachusetts Department of Public Health (DPH).
• Partner closely with the Trauma Medical Director, Trauma Program Manager, and Performance Improvement team to support trauma quality initiatives, mortality and morbidity reviews, and performance improvement meetings.
• Identify, document, and track clinical complications while ensuring timely performance improvement loop closure.
• Prepare and submit required state and national trauma registry data and maintain ongoing compliance with accreditation and benchmarking requirements.
• Produce routine, ad hoc, and complex reports that support clinical research, operational decision-making, accreditation activities, and quality improvement initiatives.
• Serve as the liaison between the Trauma Program, State Medical Examiner's Office, Health Information Management, Information Technology, and the trauma registry vendor to ensure database integrity and timely issue resolution.
• Participate in trauma rounds, multidisciplinary meetings, educational activities, and ongoing performance improvement initiatives.

Trauma Registrar, Data Analyst

• Conduct analytics using large healthcare datasets, including healthcare price transparency data, commercial claims, Medicare claims data, and other licensed or public data assets.
• Use SQL and other analytic tools to query and summarize large healthcare data files to be used for evaluating reimbursement variation across procedures, devices, payers, providers, markets, and sites of care.
• Develop analytic datasets and reproducible code to support analyses of payer and provider reimbursement, payer mix, procedure-level economics, and market dynamics.
• Work with HEPR, pricing, marketing, strategy, and operating unit partners to clarify business questions and translate them into feasible analytic approaches.
• Assist in developing dashboards, summary reports, tables, figures, and other analytic outputs that communicate findings clearly to technical and non-technical audiences.
• Support development of market access tools and repeatable analytic workflows that can be scaled across operating units and priority business needs.
• Maintain documentation of data sources, analytic methods, code logic, assumptions, definitions, and limitations to support transparency, reproducibility, and appropriate data governance.
• Assist with data quality checks, analysis validation, and peer review to ensure analytic outputs are accurate and consistent.

Senior Market Access Analytics Specialist

• Leads in the analysis of data activities and engagement across the assigned organization
• Responsible for developing reporting, analytics, metrics and key performance indicators
• Provide in-depth analysis and recommendations for improving/enhancing line of business performance
• Assist in leading the education and development of less experienced staff
• Collaborates with cross-functional teams and provides valuable data-driven insights
• Responsible for manipulating large data files and transforming the data into business information that helps fulfill strategic objectives
• Provides feedback and coaching to other data analysts

Lead Analyst, Insights & Analytics – Collections

• Responsible for building, maintaining, and analyzing reporting tools for Revenue Cycle customers.
• Build relationships with customers to best understand operational needs.
• Work collaboratively or independently to complete projects.
• Coordinate with clients and peers to enhance system functionality.
• Ensure client requests are properly evaluated and responded to in a timely manner.
• Manage teams of members in accordance with project demands.
• Plan work effort of oneself and other project team members.
• Manage training including course development and delivery.
• Break down complex problems into manageable tasks.
• Lead projects in one or more aspects of the information systems lifecycle.

Senior Application Specialist – Revenue Cycle Analytics

• Build and maintain strong partnerships across technology, analytics, and business teams
• Prepare and deliver presentations, status updates, and recommendations to leadership and stakeholders
• Provide onboarding, training, and user support for enterprise analytics and data platforms
• Communicate platform performance, governance updates, and process changes to diverse audiences
• Promote compliance with data governance, risk management, and operational control requirements
• Monitor platform health, performance, and usage metrics to identify risks and improvement opportunities

Business Analytics Specialist

• execute the strategy of the Bank’s Enterprise and Operational Risk Management Framework
• driving technology risk reporting and analytics
• establishing Operational Risk Management programs with a focus on Risk and Control Self-Assessment (RCSA)
• establishing strong partnerships and collaborate with Business Units across the First Line of Defense (FLOD)
• identifying risks and controls, reviewing control design and descriptions
• providing guidance to FLOD on development of effective controls to mitigate key risks
• identifying potential risks across the organization
• analyzing technology risk datasets to identify trends and emerging risks
• offering validated, data-driven insights to senior management
• designing, building, and maintaining Power BI dashboards and reports that deliver actionable technology risk insights
• supporting the integration of key IT, IS, TP, and DM data sources to risk monitoring reporting platforms
• identifying and implementing automation opportunities in reporting to enhance workflow efficiency
• conducting assessments of 1LOD functions using industry-standard frameworks
• serving as a technology and data management risk expert on committees and working groups
• developing and implementing risk mitigation strategies and controls

Senior Data Analyst, Enterprise Risk Management

• Conduct quantitative and qualitative data analysis to identify trends, risks, and opportunities.
• Develop and maintain performance metrics to track progress, compliance, and outcomes for FAA programs and offices.
• Provide data-driven recommendations to support strategic decision-making and performance improvement.
• Ensure accuracy, integrity, and reliability of data used for analysis and reporting.
• Design and develop visually appealing and intuitive dashboards, reports, and interactive visualizations.
• Use data visualization tools such as Power BI, Tableau, or QlikView to create interactive and user-friendly reports.
• Collaborate with cross-functional teams to identify requirements and design solutions that communicate key insights effectively.
• Research industry best practices and provide recommendations for improving program management, data analysis, and reporting practices.
• Support program and project planning, execution, monitoring, and reporting.
• Prepare executive-level project briefings, decision memos, and reports that clearly communicate program status, risks, and recommendations.
• Develop, review, and edit technical documentation, project reports, and executive correspondence.

Data Visualization Analyst

• Develops, maintains, and enhances enterprise portfolio dashboards, reports, and analytics using Power BI, Smartsheet, Excel, and other reporting tools.
• Serves as the primary administrator and subject matter expert for EPMO reporting and analytics solutions.
• Designs and maintains executive dashboards that provide visibility into project health, portfolio performance, strategic initiatives, resource utilization, risks, and key performance indicators.
• Develops reporting standards, data definitions, KPI frameworks, and portfolio metrics to ensure consistency across the organization.
• Collects, validates, analyzes, and reconciles project, financial, resource, and portfolio data from multiple systems and sources.
• Identifies portfolio trends, risks, issues, dependencies, and opportunities and provides actionable recommendations to EPMO leadership.
• Produces and distributes weekly, monthly, quarterly, and annual portfolio reports for leadership and governance committees.
• Supports executive governance meetings by preparing presentation materials, scorecards, dashboards, and supporting analytics.
• Creates and maintains portfolio health metrics, project performance indicators, and organizational performance reporting.
• Supports demand management, capacity planning, resource planning, and portfolio prioritization activities through data analysis and reporting.
• Develops and maintains Power BI datasets, dashboards, data models, calculated measures, and visualizations.
• Partners with project managers, program managers, and business leaders to ensure reporting requirements are understood and delivered.
• Monitors portfolio reporting accuracy and performs ongoing data quality assessments and corrective actions.
• Develops executive-level presentations and report-outs using data visualization and storytelling techniques.
• Supports EPMO governance processes by tracking and reporting project status, milestones, risks, issues, budgets, benefits realization, and strategic alignment.
• Recommends and implements reporting process improvements, automation opportunities, and dashboard enhancements.
• Maintains documentation for reporting processes, KPI definitions, dashboard specifications, and reporting procedures.
• Provides reporting and analytics support for annual planning, strategic initiatives, and organizational performance reviews.
• Supports audits and compliance activities related to project and portfolio reporting.
• Participates in EPMO continuous improvement initiatives.
• Other duties as assigned.

Portfolio Reporting & Analytics Analyst – EPMO

• Measure the impact of website initiatives, marketing programs, design changes, and cross-functional projects
• Analyze customer journeys, engagement patterns, conversion funnels, and page-level performance
• Design, monitor, and evaluate A/B tests and other web experiments
• Use web analytics and behavioral analytics platforms to investigate usability, engagement, and conversion behavior
• Produce recurring reports covering website engagement, session patterns, funnel performance, and emerging trends
• Translate loosely defined stakeholder questions into structured analytical plans
• Conduct ad hoc investigations to identify performance issues, behavioral gaps, and optimization opportunities
• Partner with marketing, web, product, and operations stakeholders to establish measurement requirements and success metrics
• Analyze the relationship between web traffic, lead sources, and downstream sales-funnel performance
• Develop dashboards, data summaries, and written recommendations that make complex findings accessible to leadership
• Monitor analytics data for outages, anomalies, tracking issues, or unexpected performance changes
• Document measurement approaches, findings, and repeatable reporting processes

Web Analytics Manager

• Participate as an active member of the scrum team
• Design and code high quality deliverables adhering to standards and design principles
• Produce quality and timely deliverables
• Derive insight from large data sets through data visualization
• Build informative reports / dashboards
• Support root cause analysis and resolution for complex issues regarding performance, scaling, and custom configuration
• Work with Data Engineers, Data Architects, and Data Scientists, to define back-end requirements for data products
• Perform data investigation to discover correlations / trends and the ability to explain them.

Data Analyst/Programmer II

• Owns dashboards: pipeline generation, coverage, forecast, win rates, sales cycle, quota attainment, ARR, net-new vs. expansion.
• Builds Pigment models and opportunity-level datasets for pipeline, capacity, revenue.
• Analytics backbone for annual and in-year sales planning cycles.
• Designs data pipelines from Salesforce, Pigment, Gong, Netsuite, etc.
• Partners with Data Engineering on dbt/warehouse transformations.

Senior AI Data Analyst – Sales

• Analyze large and complex datasets to identify trends, risks, opportunities, and root causes impacting business performance
• Develop and maintain Power BI dashboards, reports, and visualizations that enable data-driven decision-making across the organization
• Partner with stakeholders to gather requirements, define business needs, and translate those needs into scalable analytics solutions
• Serve as a bridge between business and technical teams, ensuring alignment on requirements, capabilities, and project objectives
• Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness
• Write and optimize SQL queries and leverage Python or other analytical tools to automate reporting and perform advanced analyses
• Support inventory optimization, fill-rate performance, supply-demand balancing, and forecasting initiatives
• Present findings and recommendations to audiences ranging from operational teams to senior leadership
• Lead and contribute to cross-functional projects focused on process improvement, business intelligence, and operational excellence

Aftermarket Business Data Analyst

• Own Foley's enterprise data model
• Drive the medallion architecture from a product definition perspective
• Own Silver and Gold layer data definitions
• Prioritize the engineering backlog in partnership with the VP of Engineering
• Be the primary data platform partner for business stakeholders
• Own stakeholder communication
• Maintain a weekly touchpoint with the AI Value Creation Office
• Own delivery against quarterly KRs
• Own the product roadmap for Foley's intelligence self-service platform
• Own the API layer as a product
• Define and maintain the metric layer
• Partner with the data analyst and engineering to enable self-service intelligence
• Drive platform adoption and capability enablement across the organization
• Own the capabilities and paved paths backlog

Staff Product Manager, Data & Analytics

• Auditing and monitoring the accuracy, integrity, and flow of marketing data generated by the firm's digital marketing campaigns.
• Working internally with marketing, intake, and client services teams, in addition to external communications with ad platform vendors and co-counsel.
• Audit, analyze, and reconcile lead and client records against digital marketing campaign data.
• Set up, maintain, and troubleshoot digital marketing campaigns (paid search, paid social, display).
• Maintain and monitor integrations between marketing platforms and the firm's data warehouse.
• Identify and resolve duplicate leads/matters or clients who do not meet requirements.
• Coordinate and manage meetings and correspondence with ad platform vendors and third parties.
• Identify the origin of deficiencies in marketing or intake data and flag process or integration issues.
• Maintain a keen understanding of lead sources as they relate to marketing spend, campaign performance, finance, and platform integrations.
• Manipulate large datasets to identify problematic, deficient, or mismatched data.

Marketing Data Analyst

• Own the end-to-end analytics stack for the Revenue team, defining what data we need, how it connects, and how it surfaces as a single source of truth across demand signals, inventory health, sell-through, and seller GMV opportunity.
• Translate search acceleration, save behavior, sell-through rates, and category liquidity into a live picture of platform health. Identify where supply is failing to meet demand and build the framework that matches buyer intent to seller opportunity.
• Build continuous systems that surface which trends are accelerating, where supply gaps are forming, and where early sourcing is needed, packaging these into actionable briefs that let Supply Partnerships and Merchandising move before a GMV window closes.
• Build operational dashboards for the CRO and Revenue leadership that answer specific business questions daily, and own their ongoing quality, accuracy, and evolution.
• Integrate GenAI tools into daily workflows to accelerate output, and architect toward a Revenue Intelligence Platform where demand sensing, campaign performance, and seller opportunity are surfaced automatically and continuously.
• Serve as the analytical backbone for Merchandising, Growth, Supply Partnerships, and Product. Partner with Data Engineering to productionize frameworks. Hire, mentor, and grow a team of analysts and promote a data-driven culture across the Revenue org.

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