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

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Proactively create reports and graphs that may be useful and provide insights resulting from various experiments
• Work closely with management and IT team to prioritize business and information needs
• Import, clean, transform, validate or model data with the purpose of understanding or making conclusions from the data for decision making purposes
• Use statistical tools to improve data quality and for designing or presenting conclusions gained from analyzing data
• Work with IT team colleagues to extract data relevant for analysis; Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis
• Collaborate with IT colleagues, Administration associates, and upper management to integrate data mining results with existing and new reports
• Work on multiple projects simultaneously

Data Analysis Associate

• Supports the extraction of data using a variety of programming languages, such as SQL, SAS, Python, or Spark/Scala
• Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights
• Performs quantitative techniques and analysis on customer, transaction, and performance data
• Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources
• Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau
• Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership

Client Quantitative Analyst I – Analytics Transformation

• 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

• Provides technological and data support, including software support, report development, ETL (extract, transform, load) program design and in-depth data analysis.
• Support design and implementation of routine and non-routine processes to extract, transform and load processes established to aggregate various data sources across the Bank used in analysis and modeling.
• Create technical and design specifications based on business requirements and in clear and concise formats.
• Lead documentation efforts as needed.
• Apply critical thinking to independently navigate issues.
• Support design of quality assurance on data feeds and remediation of inconsistent or erroneous data to ensure accuracy of data used in these analyses; investigate and respond to ad-hoc data questions.
• Support design and implementation of data structures through proper change management for use by multiple risk practice groups.
• Execute, maintain and design reports and data visualization using appropriate analytical software.
• Provide analysis and data support to groups and departments across the Bank as needed.
• Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.

Treasury Data Analyst II

• Drive current and future strategy by leveraging analytical skills
• Assist with building and using models to test and validate data
• Work with vast amounts of data in new and evolving environments
• Be a part of growing and developing the brand in new and emerging markets
• Leverage analytics to create a customer experience above peers
• Lead a team of talented junior analysts
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Extracting and analyzing data to gauge product offerings
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materials

Data Analytics Manager – Card

• Analyze large alternative datasets for insights
• Clean and add structure to data
• Combine datasets into predictive models
• Design and build scalable data products
• Develop intuitive ways to present data insights
• Investigate data anomalies and quality issues
• Maintain understanding of how data maps to real-world behavior

Data Analyst – Consumer Datasets

• Analyze client data and generate project results.
• Assist with tasks associated with project workstreams.
• Interact with clients to ensure engagement success.
• Support day-to-day operational meetings with client sponsors and senior consulting leaders.
• Assist senior team members with tasks related to divisional growth such as proposals and marketing material.
• Prepare and communicate well-organized, effective reports and presentations to client and internal management.
• Follow a clearly defined career path and continue to deepen specialized industry knowledge and consulting skills.
• Hone project management skills, leadership abilities, and aptitude for managing multiple workstreams.

Data Analytics Consultant

• Collect, clean, and analyze data from multiple sources using tools like SQL, Excel, Python, or Tableau
• Identify patterns, trends, and correlations to support descriptive, diagnostic, predictive, and prescriptive analytics
• Assist with creation of branding, communication, and training materials
• Translate complex data findings into clear, concise, communications for diverse audiences
• Develop and maintain digital asset libraries (e.g., multimedia content, documents) for easy retrieval and reuse

Technical Communications, Data Analyst

• 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.

• Ensures data is accurate, complete, and fit for performing data analyses
• Develops and executes on Enterprise Data Management policies and standards
• Manages data related incidents and communicates issues to resolve or escalate
• Partners with Business and Technology functions to drive development of requirements

Senior Data Analyst

• You'll own the metrics that run the business.
• You'll own the dashboards and definitions Product, Growth, Marketing, and Finance rely on every day.
• You'll build in Hex, document in our spec, and enforce consistent definitions across teams.
• When retention dips or a funnel leaks, you won't stop at the symptom.
• You'll follow the thread — through cohorts, segments, the quirks of specific games — until you can name the cause and recommend a fix.
• You'll design and analyze A/B tests on product changes, pricing, onboarding, and growth initiatives.
• You'll set sample sizes, call stat sig, and write the readouts.
• You'll work directly with our leaders on the questions that don't have obvious answers.
• You'll frame the question, run the analysis, and deliver the recommendation.

Product Data Analyst

• Develop and implement ETL (Extract, Transform, Load) processes in Azure Databricks to ingest and integrate new data sources into the data warehouse.
• Monitor and validate data flows to ensure accurate and timely data availability.
• Leverage Azure Databricks for data processing, transformation, and analysis tasks.
• Develop and optimize Spark jobs using SQL within Azure Databricks environment.

Healthcare Data Analyst

• Sourcing, transforming, validating, and analyzing data to support performance reporting, operational analytics, and regulatory needs
• Extracting data from core systems, including claims, enrollment, provider, utilization management, call center, and financial systems
• Developing and maintaining SQL queries, views, and data models to support reporting and analytics needs
• Performing data transformations, joins, and aggregations to create analysis-ready datasets
• Supporting data ingestion and integration across multiple source systems
• Performing data validation, reconciliation, and quality checks to ensure accuracy, completeness, and consistency
• Investigating and resolving data anomalies in collaboration with IT, vendors, and business stakeholders
• Documenting data sources, logic, and transformation rules
• Conducting exploratory and ad-hoc analysis to answer operational and business questions
• Supporting root cause analysis and investigative work requested by performance and operations teams
• Identifying data trends, anomalies, and patterns that may impact operational performance
• Delivering validated datasets and analytical outputs to Senior Performance Reporting Analysts and reporting teams
• Supporting the development of dashboards and reports by ensuring that underlying data is accurate and performant
• Assisting with performance metric calculations as defined by reporting governance
• Collaborating with data engineering and IT teams on data warehouse, data mart, and reporting layer enhancements
• Supporting automation of data pipelines and recurring analytical processes
• Participating in data governance, metadata management, and documentation initiatives

Data Analyst – Business Transformation

• 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

• own high-impact data products end-to-end
• work with massive amounts of data
• tackle complex data problems independently
• use AI and tooling to drive meaningful leverage
• collaborate cross-functionally
• drive product and strategic impact

• Build and maintain analyses and models that support underwriting, credit approvals and re-approvals, risk segmentation, and portfolio monitoring.
• Own the queries, datasets, and dashboards that power credit and finance reporting, ensuring data is accurate, timely, and trusted across the company.
• Monitor key credit, lending, and business KPIs and surface insights for Executives, Sales, and the Credit team.
• Support reporting and compliance for our credit facilities, prepare materials for investor data rooms, and respond to diligence requests with clean, well-structured analyses.
• Partner with operations and engineering on the data and logic behind loan modifications, collections, billing, and other servicing workflows.
• Identify gaps in tooling, data, and controls and help close them through better models, dashboards, automation, or policy.

Financial & Credit Analytics Analyst

• Independently — and with our team — investigate complex business problems using a combination of structured and unstructured datasets and analytical tools
• Identify, collect, scrape, store, pre-process, manipulate, merge, model, and analyze large datasets from multiple internal and external sources
• Develop scalable analytical workflows and automate processes that improve the efficiency, repeatability, and speed of insight delivery
• Use Python and modern AI-assisted workflows to rapidly prototype analyses
• Identify meaningful trends, anomalies, and strategic opportunities across healthcare and marketing datasets
• Translate complex analyses into clear, story-driven insights and data visualizations tailored to all partners
• Collaborate with strategists, creative, account, engagement managers, other analysts, and leadership teams
• Operate with ownership, curiosity, and accountability

• Utilize Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies
• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

Senior Data Analyst – Global Payment Network

• 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

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Data Analyst – Data & Analytics

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Data Analyst – Business Transformation

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Data Analyst

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