Data Analyst

• Partner with technology teams to design and deliver scalable data solutions that provide high-quality, reliable data for business use
• Drive adoption and business value from data, analytics, and BI solutions across functions
• Translate business needs into clear data and technology requirements
• Collaborate across business units to standardize and optimize enterprise data assets
• Support data governance and data quality initiatives in close partnership with Technology
• Act as a subject matter expert (SME) for business data inquiries
• Perform ad hoc analysis by extracting, transforming, and modeling data from multiple sources
• Validate and sign off on data deliverables to ensure accuracy, consistency, and adherence to standards
• Contribute to Agile delivery of data initiatives in partnership with Technology teams

Data Analyst – Data & Analytics

• Lead and develop a team of managers and/or senior analytics professionals, ensuring strong capability development and succession planning.
• Define and execute the Quality Data Analytics strategy and roadmap aligned with enterprise priorities.
• Establish standards for analytics, reporting, and data governance across Quality functions.
• Oversee analytics supporting CAPA, complaints, audits, nonconformances, supplier quality, and post‑market surveillance.
• Ensure analytics outputs meet regulatory requirements (FDA QSR, ISO 13485, EU MDR, MDSAP).
• Serve as a key leader during regulatory inspections, owning analytics narratives and data defensibility.
• Partner cross‑functionally with Quality, Regulatory, Manufacturing, and IT leaders.
• Drive continuous improvement, automation, and adoption of advanced analytics techniques.
• Manage prioritization across multiple stakeholders and enterprise demands; and, Other duties as assigned.

Senior Manager, Quality Data Analytics

• Responsible for ensuring that what Wiley builds, how it is positioned, and how it is sold is grounded in rigorous market understanding and genuine customer insight
• Develop and own compelling value propositions, messaging frameworks, and positioning for Wiley's AI&DA product portfolio
• Lead go-to-market strategy and execution for new product launches, feature releases, and entry into new verticals
• Provide strategic input into pricing, packaging, and bundling decisions alongside Product and Commercial leadership
• Oversee the build and maintenance of a suite of sales enablement materials
• Partner with Demand Generation and Content teams to ensure that campaigns are grounded in strong product and market insight.
• Define and track key product marketing metrics including pipeline contribution, win/loss trends, sales enablement adoption, and pilot-to-contract conversion rates
• Oversee the Voice of Customer (VoC) programme across the customer lifecycle
• Own win/loss analysis as a formal research function and commission primary and secondary market research

Senior Director, Product Marketing – Customer Insights, AI & Data Analytics

• Independently assess the design, performance, and implementation of forecasting and stress testing models
• Evaluate model methodology, assumptions, and design for conceptual soundness
• Assess the quality and appropriateness of model development data and construction
• Conduct testing to evaluate model performance under various scenarios
• Verify model implementation accuracy and assess performance monitoring frameworks
• Provide independent challenge to model developers and track issues through resolution
• Prepare validation reports and communicate findings to stakeholders
• Perform periodic validations to ensure model suitability and identify emerging risks

Senior Quantitative Analyst – PPNR Model Validation

• Work location - Hybrid 1 This role requires associates to be in-office 1 - 2 days per week
• Researches and synthesizes detailed clinical data related to pharmaceuticals
• Proactively identify utilization management (UM) strategies that enhance the member experience while delivering positive financial outcomes
• Analyze prior authorization (PA) data and trends to develop recommendations, considering rebates, member impact, and operational efficiency
• Monitor and evaluate UM performance to ensure effectiveness and alignment with organizational goals
• Report on PA performance metrics to support data-driven decision-making across teams
• Forecast the potential financial and administrative impact associated with UM initiatives
• Track the financial impact of recently implemented UM
• Build and maintain strong cross-functional relationships with Trade, Formulary, Clinical, and Actuarial teams to collaboratively develop and implement UM solutions
• Supports therapeutic class reviews and drug monograph information to the Pharmacy and Therapeutics Committee
• May review and approve or deny coverage for pharmaceuticals (as permitted by state/federal law or state/federal program contracts) based on medical necessity criteria, and coordinates with internal stakeholders or health plan medical directors as needed
• Serves as a clinical resource to other pharmacists on areas such as prospective, inpatient and retrospective DURs and provides dosage conversion and clinical support for therapeutic interventions
• Prepares information for network physicians

Clinical Pharmacist – Data Analytics

• Provide support to the local management team for financial reporting and control
• Analyze records of present and past operations, trends and costs
• Assist operations regarding cost budgets, quarterly forecasts and financial planning activities
• Perform analytical reviews of financial information to identify trends/opportunities
• Produce cost quotes, strategic business cases, risk assessments and other ad-hoc analysis
• Support various internal and external financial and system audits
• Collect and confirm accuracy of all charges and expenses for billing
• Create and disseminate various communications & reports

Financial and Data Analyst – Contract Logistics

• Supports the design, development, and implementation of new reporting requirements.
• Gathers and translates business needs and requirements from non-technical end users and stakeholders into query development and design.
• Fulfills ad-hoc reporting/data requests.
• Performs data validation to ensure completeness and accuracy of queries and reports and reconciles discrepancies.
• Assists in the evaluation and prioritization of reported issues and communicates status and resolution to relevant users.
• Participates in the maintenance of existing queries and reports, re-writing and enhancing these queries as needed.
• Assists in the building of data visualizations and dashboards in PowerBI to display defined KPI.
• Participates in the presentation of complex concepts and results to end users and stakeholders
• Participates in the migration from Tableau to PowerBI

Business Data Analyst

• Coordinate, support and operationalize data collection to enhance AI performance
• Build and maintain dashboards (e.g., Pendo, Qualtrics) to track user behavior, experience metrics, and KPIs
• Aggregate and synthesize quantitative and qualitative data into clear, actionable insights
• Analyze user behavior and feedback to identify trends, issues, and opportunities for experience improvement
• Support VOC initiatives by organizing, maintaining, and evolving insights repositories
• Leverage analytics to inform product decisions and optimize user experience
• Assist with survey design, data preparation, and analysis for research initiatives
• Support in communicating insights and recommendations to stakeholders, including product, design, and business leaders
• Recommend and implement best practices for data instrumentation and tool usage
• Document insights, dashboards, and methodologies for ongoing team use
• Manage and prioritize multiple requests and projects
• Explore and evolve advanced analytics capabilities (ex:, AI-driven insights, cross-platform data integration, API connections) to continuously enhance experience intelligence.
• Travel approximately 3-4 times per year for key meetings

Data Analyst, Voice of Customer

• Conduct exploratory analyses to uncover player trends, engagement patterns, and friction points
• Translate findings into clear insights to support product development and UX initiatives
• Apply core statistical techniques such as: Hypothesis testing, Regression analysis (linear/logistic), Clustering or segmentation logic
• Assist in the setup, monitoring, and analysis of A/B tests and product experiments
• Contribute to test design and metric definition in collaboration with product managers
• Summarize results and support interpretation of causal impacts
• Build and maintain dashboards using tools like Dash, Streamlite or Power BI
• Present insights in recurring team syncs or product planning sessions
• Document analyses and findings in a clear, stakeholder-friendly format

Product Data Analyst

• Provides financial, analytical, modeling expertise to build quantitative models for business projects
• Conducts complex quantitative analysis as it applies to areas of responsibility, generally aligned to specific transactions and products
• Performs statistical model assumptions' tests for soundness of model theory
• Hands-on coding and building of quantitative models
• Reviews model results and identifies unexpected results
• Develops and analyzes key metric and plan variances and related information
• Develops analyses of performance and predictive data
• Compiles and generates ad-hoc analytical reports
• Acts as a technical expert / lead integrating cross-function understanding within their own field of specialty
• Independently manages end-to-end functional programs

Senior Quantitative Analyst – Retail Model Validation

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• Supports finance team by ensuring the accuracy, integrity, and optimization of data across financial systems.
• Maintaining, validating, and analyzing financial data to support key business decisions.
• Assisting the Manager Financial Systems in streamlining and enhancing the financial reporting processes.
• Assist in maintaining and updating financial systems, ensuring data accuracy and consistency.
• Creation and maintenance of financial reports, dashboards, and performance metrics.
• Works closely with IT to coordinate and support system upgrades, testing, and implementations.
• Assists Manager Financial Systems as a point of escalation when system issues occur.
• Provides training and support to financial systems users.
• Ad hoc reporting to assist in identifying opportunities for system improvement.

Financial Data Analyst, Ambulatory Surgical Center

• Design and deliver enterprise-scale, cloud-native data pipelines and curated datasets that support complex business, legal, and regulatory requirements.
• Engineer secure, auditable, and defensible data extracts to support high-risk legal, litigation, and compliance use cases.
• Build and maintain scalable ELT and ETL workflows across enterprise and cloud analytics platforms to support batch and large-scale processing.
• Partner closely with Legal, Market Analytics, Enterprise Technology, and Data Engineering teams to translate complex data requests into reliable technical solutions.
• Establish and champion best practices in data engineering, including automation, testing, monitoring, documentation, and governance.
• Ensure appropriate data security, lineage, retention, and chain-of-custody controls for sensitive legal and regulatory datasets.
• Act as a senior escalation point for complex data engineering, platform, and risk-related challenges.
• Contribute to enterprise data modernization initiatives, including migration from legacy platforms to cloud-based analytics environments.
• Lead through influence by setting standards, improving processes, and enabling repeatable, production-ready data frameworks.
• Provide informal mentorship and technical guidance to analysts and partner teams as needed.

Senior Business Data Analyst – Pharmacy Benefit Management

• Become the subject matter expert for assigned product category online
• Responsible for category product data projects and status reporting SKU collection and maintenance
• Measure ongoing effectiveness of programs against metric targets
• Responsible for prioritizing projects, tasks to ensure deliverables and goals are met or exceeded
• Coordinate integrated teams from one or more external agencies or functional organizations supporting managed initiatives
• Troubleshoot and problem solve for ongoing operational needs as they arise
• Ability to author clear, concise end user/training materials for processes

Digital Content Data Analyst

• Partner closely with Commercial Lines leaders to understand their goals, challenges, and priorities, and translate those needs into clear, outcome‑driven data and analytics capabilities
• Shape and maintain business documentation through data and analytics roadmaps that align business priorities with global Data Office strategy, enterprise standards, and architectural direction
• Serve as product owner within the Global Data Warehouse program, setting direction, prioritizing work, authoring business requirements, overseeing user acceptance testing, and ensuring delivery remains focused on the highest‑value business outcomes
• Enable strong execution by working with agile delivery teams to manage dependencies, clarify priorities, and ensure initiatives stay aligned to agreed scope and timelines
• Continuously challenge the portfolio by identifying opportunities to simplify, consolidate, or sunset data and analytics solutions that no longer deliver sufficient value
• Act as a trusted advisor to business partners, helping define meaningful metrics, insights, and use cases that support better decision‑making
• Lead through influence, coordinating across data engineering, BI, analytics, and business teams to drive alignment and progress

Data Analytics Manager, P&C Insurance

• Lead team to manage life cycle of digital data product, including use case identification, discovery all the way to development and maintenance.
• Translate use cases into implementation roadmaps to deliver high quality data products
• Establish common performance expectations and processes for data product owners, data analysts and scrum masters.
• Leverage data domain knowledge to shape the vision, strategy, and roadmap of domain level analytics ready datasets.
• Ensure implementation of Agile principles and best practices to continuously adapt to evolving business needs and user feedback
• Develop and maintain relationships with key vendor partners to shape the overall staffing strategy and continuously ensure high quality deliverables and optimized return on investment for the respective domain programs
• Demonstrate and role model key leadership behaviors, including: cross-functional and inclusive leadership, assertiveness and swift decision-making, active listening and strategic thinking
• Native AI/Gen AI mindset that continuously look at the way a data product is being built and optimize the process utilizing the full extent of the technology stack and advancements that are available and ensure the data products being built are Gen AI ready from the outset.

Associate Director, Data Analysis

• Support the design, operationalization, and interpretation of measurement and insights capabilities of the DTC/P ecosystem
• Impact assessment of key digital direct consumer/patient experience products
• Collaborate with cross-functional teams to gather requirements, driving measurement and insight strategy for platform use cases
• Support and interpret measurement dashboards for key stakeholders to monitor real-time performance indicators and digital media engagement trends
• Help standardize and deliver digital products focusing on consumer/patient experience analytics and AI

DTC/P AA & AI, Data Analyst

• Lead environmental data management for Brownfield and remediation projects
• Advanced use of EarthSoft EQuIS including Enterprise and reporting
• Manage and review NYSDEC EDDs and regulatory submissions
• Act as the primary technical resource for NYSDEC data requirements, including EDDs, laboratory deliverables, and regulatory reporting
• Collaborate and coordinate with environmental teams, present at meetings and educate office about data management
• Oversee QA/QC and mentor junior analysts
• Support proposals and client-facing technical discussions

Senior Environmental Data Analyst

• Provide quantitative analysis and build advanced quantitative models to meet business requirements
• Provide highly specialized quantitative analytical and modeling support at the assigned line(s) of business
• Develop advanced quantitative models to enable pricing of products
• Conduct complex quantitative analysis as it applies to areas of responsibility
• Perform statistical model assumptions' tests for soundness of model theory
• Review model results and identify unexpected results

Senior Quantitative Analyst

• Drive Operational Intelligence, Efficiency, and Business Analysis by providing high-quality, reliable data that powers insights across Walmart Connect, with a focus on operational KPIs and scalable data frameworks.
• Build, own, and maintain robust, end-to-end data pipeline infrastructure with a focus on reliability, observability, and scalability that serves as the source of truth for operational intelligence data.
• Merge and join various data sources and develop/optimize complex queries and scripts to create aggregated tables and views for statistical analysis and reporting.
• Automate business review decks and reporting processes, leveraging GenAI and other automation tools to provide the data and insights behind business reviews.
• Collaborate with cross-functional teams (operations, product, sales) to improve operational KPIs for Walmart Connect through best practices in data capture, storage, retrieval, and quality.
• Implement intelligent alerting and anomaly detection mechanisms for proactive response to data issues.
• Champion engineering discipline by establishing clean code practices, version control (Git/GitHub), and collaborative code reviews (PRs), setting up infrastructure and standards for the team.
• Demonstrate high productivity and expertise with modern data and development tools, including Python, SQL, GCP, Git/GitHub, Airflow, and VS Code.
• Evaluate and implement new tools, technologies, and techniques to set technical standards, drive automation, and enhance team productivity, fostering a research-driven approach to continuous improvement in a fast-paced environment.

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