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

• 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.

• 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

• Design, maintain, and optimize data pipelines (ETL/ELT) supporting analytics, reporting, and operational workflows.
• Collaborate with business stakeholders to define data requirements and translate them into practical solutions.
• Write efficient SQL queries and work with tools such as SSMS, PowerBI, and Excel.
• Analyze, model, and validate data to ensure accuracy, consistency, and usability.
• Promote data stewardship and governance best practices.
• Identify opportunities for automation, scalability, and continuous improvement.
• Navigate and improve organically grown legacy systems while contributing to modernization initiatives.
• Participate in, adhere to, and support compliance, people and culture, and learning programs.
• Perform other duties as assigned.

Senior Data Analyst

• Develop and maintain interactive dashboards and data visualizations in Salesforce and/or Tableau to present program data.
• Design and customize reports that meet business requirements using best practices and innovative approaches.
• Pull, validate, and reconcile data from multiple systems and source files
• Analyze actuals vs. forecast/prior period and highlight key variances and trends
• Maintain reporting documentation, definitions, and process steps
• Identify and implement opportunities to improve or automate manual reporting processes
• Advocate for data visualization best practices, dashboard design and analytics storytelling.
• Coordinate with program delivery teams to provide data for ad-hoc requests and to review client-facing program information for data accuracy.
• Collaborate with software teams on dashboard development and integration of systems to provide maximum flexibility in data reporting and availability.
• Work with software teams on database development and process improvements to optimize efficiency and streamline data processes.
• Learn, operate, and integrate with company proprietary computer software and project management systems.
• Ensure data quality, accuracy and integrity in all deliverables.
• Manage project timelines, tracking billable hours as needed.
• Other duties as assigned.

• Promote dashboards, reports, and reporting tools
• Support the Finance team with recurring and ad hoc reporting requests
• Prepare and maintain Excel-based analysis files
• Help with the preparation and formatting of monthly, quarterly, budget, and board presentation materials
• Analyze and validate data to ensure accuracy and consistency across reporting outputs
• Partner with Finance and teams to support reporting needs
• Support ongoing process improvements and reporting automation initiatives
• Maintain reporting structures, templates, and documentation
• Assist with data visualization and presentation of key business metrics
• Report into Finance leadership

• Performing analysis of data from Customer Remediation Events in accordance with the Customer Remediation Policy
• Using SQL database queries to pull data from SQL Server, Oracle, and Netezza, the analyst utilizes tools such as SAS, Excel, Toad, pgAdmin, Visual Studio Code or similar data tools to transform and analyze the data
• Using data to compare to an initial population created by the business to challenge the accuracy and completeness of the initial population as well as the remediation calculations and totals
• Once population consensus is reached, partnering with the business to work through the remaining milestones and through the remainder of the remediation process until the event is completed
• Executing population and milestone testing during validation of customer remediation events
• Reviewing and testing remediation population data to validate complete and accurate remediation populations and calculations are provided to customers
• Providing critical challenge of business line data processes while ensuring comprehensive population and calculation data
• Credibly challenging data extraction, population verification, and financial calculations

• Monitor and support day-to-day EDI transaction processing to ensure timely and accurate data exchange.
• Support EDI mapping, testing, and maintenance for existing and new clients/partners.
• Analyze and resolve EDI errors, rejections, and acknowledgments.
• Perform root-cause analysis on recurring EDI and data transmission issues.
• Validate data accuracy across EDI systems, source applications, and downstream consumers.
• Identify data quality, mapping, and business rule issues and partner with PLAD/ Account management teams to resolve them.
• Recommend and implement improvements to automation, monitoring, and reporting processes.
• Document data definitions, EDI workflows, mappings, and analytical methodologies.
• Analyze EDI and operational data to identify trends, risks, and performance gaps.
• Perform ad-hoc analysis to support business, operational, compliance, and audit needs.
• Communicate technical findings clearly to non-technical audiences.
• Mentor junior analysts or EDI team members as needed.
• Contribute to standardization of EDI metrics, reporting, and best practices.

Data Analyst II

• Analyze and interpret data related to self-funded and captive employee benefit plans
• Identify trends, risks, cost drivers, and utilization patterns impacting healthcare spend
• Ensure data accuracy by identifying and resolving discrepancies or incomplete data
• Develop, maintain, and optimize databases and reporting systems
• Transform complex data into clear, actionable reports and dashboards
• Apply statistical methods to analyze trends and support forecasting and decision-making
• Conduct data quality assessments to ensure accuracy, completeness, and consistency
• Collaborate with internal teams to develop client recommendations and strategies
• Present findings in a clear and tailored manner to both technical and non-technical audiences
• Support client reporting, renewal processes, and strategic initiatives
• Identify opportunities for process improvement, automation, and enhanced data governance
• Assist with sales initiatives by supporting reporting and risk analysis efforts
• Participate in client meetings, conferences, and presentations (up to 5% travel)

• Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions
• Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes
• Focus on enterprise provider analytics to measure and report the actual impact of contract and network changes against projected outcomes
• Deliver standardized, structured reporting to track implementation accuracy and validate savings
• Interpret and analyze data from multiple sources including claims, provider, member, and encounters data
• Identify and assess the business impact of trends
• Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools
• Contribute to the planning and execution of large-scale projects with limited direction from leadership
• Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation
• Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers
• Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment
• Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks
• Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products
• Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
• Independently engage with customers and business partners to gather requirements and validate results
• Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required
• Provide technical guidance to junior analysts

Data Analyst III – Healthcare Analytics, Provider Analytics

• Conduct accurate and timely business analysis and reporting to support and drive business decisions.
• Collaborate with key stakeholders to define key financial and operational metrics.
• Build and maintain models used to project business results; enhance the model where there is business value.
• Ensure analysis and reporting accuracy and integrity; explain performance drivers and provide insights into performance trends.
• Analyze and address data quality issues; test and analyze the impact of system changes to data/reporting infrastructure.
• Develop, test, and deploy automated reporting solutions and automated decision analytics.

Senior Product Data Analyst

• Analyze integrated and extensive datasets to extract value impacting business decisions
• Work collaboratively with key business stakeholders to develop solutions and deliver insights
• Interpret and analyze data from multiple sources including claims, provider, member, and encounters data
• Identify and assess the business impact of trends
• Develop, maintain, and troubleshoot complex scripts and reports using SQL, Microsoft Excel, or other analytics tools
• Assist in the design, testing, and implementation of process enhancements
• Identify and perform root-cause analysis of data irregularities and present findings to leadership
• Manage multiple tasks and data review processes within timelines

Data Analyst III, SQL, Appeals Analytics

• Support analytic data needs for assigned business unit
• Handle complex data requests and acts as a “go to” person for other Data Analysts
• Identify and prioritize recurring and ad hoc data analysis needs
• Enable management to control medical costs
• Ensure delivery of quality healthcare to members
• Coordinate analysis and development initiatives with cross health plan initiatives and capabilities
• Perform analysis and reporting to support the Health Plan and Corporate
• Manage development efforts with technical team liaisons
• Including business requirements gathering and documentation
• testing
• delivery and user adoption
• Effectively communicate deliverable expectations to the Health Plan
• Analyze plan data including service and clinical and trend analysis
• Develop reports through various data reporting tools
• Manage
• mentor
• and train team of analysts
• Use ServiceNow to intake
• track
• and resolve requests/issues; maintain clear documentation and stakeholder updates
• Promote SQL querying standards and knowledge sharing across the team; support peer reviews and reusable query patterns

Manager, Data Analysis

• Facilitates workshops with business and IT stakeholders
• Supports testing and automation teams during testing phases
• Assists in Pre/Post load activities during data conversion and cutover
• Creates detailed configuration and functional design documents
• Understands data replication techniques and MDG consolidation
• Collaborates with data conversions team to define business rules
• Plays a key role in supporting and troubleshooting MDG MM issues
• Participates in project activities such as Redbook entries and validations
• Understands change request processes for governance and validation

SAP MDG Functional Data Analyst, Supplier Master

• Develop and maintain a package of financial reporting, spreadsheets, templates, and applications
• Provide assistance in the development, construction, or automation of financial applications or other tools
• Query information from a data warehouse and perform other ad-hoc data mining and financial analysis

Financial Data Analyst

• Develop and maintain software products for the next generation
• Participate in all aspects of agile software development, including design, implementation, and deployment
• Works across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
• Develop new features and infrastructure in support of rapidly emerging business and project requirements
• Assume leadership of new projects, from conceptualization to deployment
• Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design
• Engage with designers and front-end engineers and collaborate with leading back-end engineers to create reliable APIs
• Collaborate proactively with customers, stakeholders, peers and direct reports to understand operational and performance expectations
• Cultivate a positive team culture

Advanced Technologist, Data Analytics

• Help support coordinated, client-centered care by turning data into meaningful support for teams improving access to care in rural communities.
• Schedule: Monday-Friday, starting early around 6:30 am.
• Plays an important role in supporting high-quality, client-centered care within the Health Home program through accurate data management, strong communication, and reliable coordination across teams.
• Helps ensure care teams have timely, organized information needed to support individuals receiving services.
• Maintains healthcare tracking systems, validates data, and generates reports contributing to program effectiveness, operational efficiency, and compliance.
• Support special projects, operational improvements, and department initiatives.
• Participate in required meetings, trainings, and organizational events.
• Perform additional duties as assigned by department leadership.

Health Data Analyst

• Proactive, technically-grounded analysis of sales motion and revenue operations.
• Building strong cross-functional relationships to drive alignment on key business objectives.
• Translating business requests into rigorous, reproducible analysis using AI tools to enhance workflow.
• Delivering findings to both technical and non-technical audiences.

Data Analyst – Revenue Ops

• Analyze and interpret data from Oracle and Netezza systems to support business decisions.
• Perform basic audit requirements and ensure adherence to data governance and control standards.
• Consolidate complex datasets into clear, summarized insights and reports.
• Conduct tie-out and reconciliation processes to validate data consistency across systems.
• Identify, investigate, and resolve data integrity issues, including duplication detection.
• Develop and optimize SQL queries for data extraction, validation, and reporting.
• Collaborate with cross-functional teams to ensure data accuracy and alignment with business needs.
• Document data definitions, validation rules, and audit processes.

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