Data Analyst

• 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

• Lead the validation of predictive and machine learning models for specific business needs
• Provide solutions to predictive and prescriptive questions
• Independently assess and validate models, methodologies, and analytical frameworks
• Identify and articulate observations based on structured assessments
• Review deliverables and proactively coach others
• Engage with data stewards to review data quality and traceability

Quantitative Analytics Manager – Model Risk

• Proactively solve business problems leveraging complex data
• Leverage knowledge of KeyCorp and LOB strategy, business, and competition to anticipate needs and make recommendations
• Drive projects end to end; prioritizing multiple projects; manage to tight deadlines
• Review deliverables (where applicable); coach others on approach and work product
• Proactively coach and guide the work of others
• Serve as mentor within and beyond own team
• Lead business partner interactions; drive for results and provide consultative recommendations
• Effectively communicate with team and business partners; articulate broad implications / impact of messages

Business Analytics Manager, Commercial Bank

• 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

• Lead end‑to‑end analytics across Consumer Banking to improve customer acquisition, relationship deepening, retention, profitability, and operational efficiency.
• Define and implement KPIs, dashboards, and performance metrics aligned to business outcomes.
• Develop and deploy predictive AI/ML models, segmentation frameworks, and product and pricing analytics.
• Apply advanced statistical methods to analyze, synthesize, and interpret complex data.
• Ensure insights strategies align with Consumer Banking goals and expected outcomes.
• Present insights in clear, visually compelling formats for executive and business audiences.
• Identify, acquire, and manage data sources while ensuring data quality, governance, and security.
• Build a deep understanding of customer needs, sentiments, and pain points to enable empathetic, customer‑centric decision‑making.
• Map and analyze end‑to‑end customer journeys to identify opportunities to improve experiences across touchpoints.
• Design and lead qualitative and quantitative research to inform CX strategy, product innovation, and service improvements.
• Leverage VoC, CSAT, behavioral analytics, and journey insights to drive continuous CX improvement.
• Champion and partner on inner‑ and outer‑loop CX processes to ensure insights lead to action.
• Collaborate with Product, Marketing, Business Line, and Technology partners to optimize experiences and expand self‑service capabilities.
• Build, lead, and develop high‑performing teams of data scientists, analysts, CX strategists, and researchers.
• Serve as a trusted advisor and thought leader to senior and executive leadership.
• Align analytics and CX initiatives with enterprise and Consumer Banking strategies.
• Drive transformation initiatives focused on efficiency, scalability, and impact.
• Anticipate and respond quickly to changing market conditions, technologies, and customer expectations.
• Provide overall operational leadership, including financial management, vendor and agency oversight, and talent planning.

Head of Consumer Bank Data Analytics, CX and Research

• Support the design, development, and maintenance of complex financial models
• Develop quantitative tools for pricing, profitability, and product strategy
• Use Python or R for data analysis and model development
• Utilize Power BI for portfolio analytics and communication with partners
• Collaborate with line-of-business and operations partners to identify needs and develop requirements

Quantitative Analyst

• Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards.
• Helps advise business, applications and operations counterparts to ensure data integrity and availability.
• Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
• Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses.
• Resolves data integration and security issues for adherence to the organization's quality standards.
• Researches customers needs, conducts awareness and promotional sessions for potential customers.

Senior Enterprise Data Operations Analyst – Data Analyst Senior, SQL, AI Tools, Agile, Jira

• Own and operate a centralized reporting intake and delivery process, partnering with cross‑functional teams to define reporting needs
• Design, develop, and maintain automated reporting solutions that improve efficiency, accuracy, and scalability
• Build high‑quality dashboards, reports, and visualizations that clearly communicate insights and trends
• Deliver insights related to GenAI programs, translating complex data into meaningful narratives for operational and executive audiences
• Support digitalization initiatives by modernizing reporting workflows and reducing manual processes
• Collaborate with business partners to ensure reports align to decision‑making needs and business priorities
• Present findings, insights, and recommendations clearly and confidently to leadership at multiple levels
• Continuously improve reporting standards, visualization quality, and presentation effectiveness

• 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.

• Utilize data query, visualization, dashboard and/or scorecard tools
• Work with cross-functional teams, gather requirements, and adapt to shifting priorities while still meeting project expectations and deadlines
• Must be organized to create sustainable processes for other team members to build off of and work collaboratively
• Use analytics tools (such as Tableau, Alteryx, SQL) to manage, maintain and improve existing processes; transform complex data sets into information that can be consumed and actioned by the CPG team; Automate manual processes

• Lead execution of data, analytics, and AI engineering strategy
• Direct long-range planning, architecture, and resource allocation
• Ensure data and AI solutions are implemented and continuously improved
• Partner with stakeholders to define desired outcomes and operationalize capabilities

Senior Director, Data Analytics – AI Engineering

• Supports and promotes research, business, marketing, communications and administrative functions within the Clinical and Translational Science Institute (CTSI).
• Uses advanced qualitative and quantitative data analysis to demonstrate impact and support leadership decision-making.
• Plans, conducts qualitative data analysis in various instances; designs, builds advanced electronic data capture systems.
• Monitors, evaluates and ensures quality control of data entry across multiple areas and contexts.
• Analyzes workflow and operational issues for improvement.
• Provides recommendations to leadership based on internal and market data.
• Supports CTSI marketing and communications strategy through digital engagement analysis.

Reporting and Analytics Analyst

• Sit with internal stakeholders (Medicare sales, finance, operations, HR) to walk them through Omni dashboards, capture feedback, document defects and change requests, and track them to resolution.
• Make report-side changes in Omni: tile edits, formatting, labels, filters, and layout. Escalate anything that touches dbt models or schema to the Interim Head of Analytics.
• Write SQL to spot-check numbers, audit data quality, and answer one-off questions from the business.
• Maintain and update the entity-relationship documentation for the Mart layer as the schema evolves.
• Reconcile reported numbers against source systems (Sabal, Atlantis, Paylocity, Sonar, Retreaver) when discrepancies are flagged.
• Own a clean, organized backlog of business requests and known issues so nothing falls through the cracks.

Junior Data Analyst

• Supports the System-wide Enterprise Master Patient Index (EMPI)
• Assists with various functions in Data Integrity/EMPI
• Troubleshoots data integrity issues
• Monitors overlay reports and potential duplicate patient work queues
• Reviews and processes inbound messages or tasks into the Ohio Health electronic medical record

EMPI Data Analyst

• Develop & Manage Analytics – Define, document, and implement analytics requirements, translating business objective and KPIs into actionable schema-level specifications, ensuring accurate tracking and reporting through Adobe Analytics and Adobe Launch.
• Create Dashboards & Reporting – Build real-time dashboards and scorecards to monitor web performance, mobile app performance, marketing campaigns, and key business KPIs.
• Analyze User Behavior & Performance – Develop digital journey maps, analyze funnel effectiveness, and identify optimization opportunities to enhance user experience and conversions.
• Provide Data-Driven Insights – Deliver actionable recommendations to leadership, digital product teams, business lines, and marketing stakeholders to drive informed decision-making.
• Optimize Digital Experiences – Identify growth opportunities through data modeling, A/B testing insights, and user experience analysis.
• Support KPI Strategy & Business Goals – Advise stakeholders on measurement strategies and ensure alignment with business objectives.
• Maintain and evolve the organization’s data dictionary, manage variable lifecycle and expiration, and configure processing rules to ensure accuracy and governance across report suites.
• Ensure Data Governance & Best Practices – Maintain documentation, uphold governance standards, and support training on analytics tools and methodologies.
• Monitor Industry Trends & Innovation – Stay abreast of emerging analytics technologies, best practices, and opportunities for digital measurement improvements.
• Lead Special Projects – Drive initiatives that leverage data to support business growth, improve customer experience, and enhance strategic decision-making.

Digital Platforms Analytics Specialist

• Provide ongoing coaching and support to teachers, administrators, and staff on data analysis and interpretation.
• Facilitate the use of student performance data to inform instructional strategies and interventions.
• Develop and deliver professional development sessions on data literacy, assessment analysis, and data-driven decision-making.
• Collaborate with school leadership teams to establish data protocols, systems, and cycles of inquiry.
• Assist in the collection, organization, and analysis of academic and operational data.
• Support the development and monitoring of school improvement plans using data metrics.
• Create and maintain dashboards, reports, and visualizations to communicate data insights clearly.
• Model best practices in data use during team meetings, PLCs (Professional Learning Communities), and instructional planning sessions.
• Ensure data accuracy, integrity, and compliance with applicable privacy regulations.
• Perform other duties as assigned to support data-informed practices across the organization.

Data Analysis Coach

• Manage a staff of data analysts
• Develop complex reports and analyze company data
• Serve as a technical resource for company staff
• Meet with clients on data analysis and benchmarking issues
• Provide training and data analysis education for program staff
• Provide technical oversight and guidance to client dedicated analysts

Manager, Data Analyst

• Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders.
• Work together with internal partners, determine needs, gather requirements, and develop solutions for data assets and reporting.
• Performs requirements planning, monitoring and requirements management.
• Independently performs rigorous data analysis, data discovery and data profiling using industry standard querying tools (SQL) to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience.
• Maintains data mapping documents, bus matrix and/or other data design artifacts that define business data requirements and transformation rules.
• Act as liaison and advisor/consultant between the business and IT stakeholders providing thought leadership.
• Lead responsibility in mentoring, instructing, assigning, directing, and checking the work of Business Data Analysts within their group.
• Acts as a change leader to help and drive implementation of industry best practices.
• Provides support and consulting by answering questions, researching possible solutions to complex problems, and fostering open communication between the customer and development team.
• Identifies logical, relevant business, data relationships between complex topics in the broader context of own project or functional area.
• Identifies choices and improvement opportunities to better align own work with the direction and strategic priorities of the broader organization.
• Conduct root cause analysis on identified issues, providing assistance to resolve data quality problems.
• Supports the upkeep of data mapping documents and other design artifacts that outline business requirements and transformation rules.
• Foster a positive work environment by exemplifying cultural values and encouraging others to promote collaboration, accountability, diversity, and continuous improvement.

Senior Business Data Analyst

• CREATES, MAINTAINS, and AUTOMATES highly complex data structures and operational reporting that includes business results, operations performance metrics and associate performance dashboards.
• OBTAINS, ANALYZES, and REVIEWS information needed to execute the design and development of reports.
• WORKS independently CREATING and MAINTAINING tools that support performance management and execution.
• RESEARCH and QUERY new systems and data to develop operational reporting.
• CONDUCTS testing and data validation of reporting and tools developed.
• PROVIDES analysis of business results with data-driven recommendations to support management, IDENTIFY insights that help DRIVE business decisions.
• IDENTIFIES new technology and innovative solutions to continually improve and automate reporting.
• ASSISTS with mentoring and training other analysts.
• SHARES best practices.
• ADHERES to the Code of Conduct, company policies, and operating principles.

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