Data Analyst

• Create and maintain item, pricing, fee, customer, vendor, delivery, and other master data in D365
• Support ad-hoc reporting requests using SQL and available reporting tools
• Extract, analyze, and validate data from ERP systems for operational and financial reporting
• Ensure data accuracy, completeness, and integrity across system records
• Assist business users with data-related requests and troubleshooting
• Identify opportunities to improve data processes and system efficiency
• Collaborate with Finance, Operations, Sales, and IT teams on system configuration and reporting outputs
• Document ERP data maintenance and reporting procedures
• Support the Business Analysis Manager and team with additional tasks and projects
• Implement accurate and timely D365 data updates
• Complete ad-hoc reporting requests accurately and on time
• Maintain high data quality within ERP systems
• Support business users across Finance and Operations
• Identify and resolve data issues affecting business processes

• Create and maintain item, pricing, fee, customer, vendor, delivery, and other master data in D365
• Support ad-hoc reporting requests using SQL and available reporting tools
• Extract, analyze, and validate data from ERP systems for operational and financial reporting
• Ensure data accuracy, completeness, and integrity across system records
• Assist business users with data-related requests and troubleshooting
• Identify opportunities to improve data processes and system efficiency
• Collaborate with Finance, Operations, Sales, and IT teams on system configuration and reporting outputs
• Document ERP data maintenance and reporting procedures
• Support the Business Analysis Manager and team with additional tasks and projects
• Implement accurate and timely D365 data updates
• Complete ad-hoc reporting requests accurately and on time
• Support business users across Finance and Operations
• Identify and resolve data issues impacting business processes

• Partner with business and technology stakeholders to gather, document, and validate requirements for the End of Day Consistency initiative
• Translate functional needs into clear specifications and user stories for the delivery team
• Analyze data flows, reconcile discrepancies, and perform quality checks across source systems
• Identify gaps and recommend remediation steps
• Analyze structured and unstructured data from multiple internal and external systems for business, risk, and operational reporting
• Document data definitions, lineage, and methodologies for governance, auditability, and knowledge transfer
• Present analysis and insights to senior stakeholders, adapting technical detail to the audience
• Support UAT and post-implementation activities by designing test scenarios, tracking issues to resolution, and producing status reporting and documentation

Business/Data Analyst

• Carry out data analysis demonstrating Rightway’s impact to clients and strategic partners in care navigation
• Support the development and execution of analytics and provide data-driven strategic insights
• Create customized analytic approaches in a care navigation setting
• Develop and deliver complex analytical needs, including quarterly performance reviews and ad hoc client inquiries
• Guide standards and implement coding and technical best practices in the analytics ecosystem
• Develop operational analytics using eligibility, medical claims, and member interaction data to surface trends, inefficiencies, and opportunities
• Integrate and blend data from NIC, claims, Typeform, and Salesforce into unified reporting datasets
• Support data engineering initiatives, including DAG development, automated file ingestion, and report delivery controls
• Use business intelligence and data visualization tools for data storytelling and evaluation of clinical management programs
• Work cross-functionally to provide actionable insights and develop scalable data processes
• Provide ad hoc and strategic analysis for care management and population health program performance
• Participate in analytic frameworks and methodologies for strategic initiatives
• Identify and qualify AI opportunities, understand technical challenges, and recommend operationalization strategies

Data Analyst III, Care Navigation

• Own the recurring monthly data-quality reporting cycle for vulnerability, asset, product, and remediation records
• Design, test, and refine AI-assisted workflows to detect, classify, and correct data-quality defects at scale, with human review and documented validation
• Maintain and version prompt, script, and workflow libraries for reproducible, auditable AI-assisted remediation
• Reconcile business intelligence reporting data with authoritative vulnerability scan data and resolve record-level variances
• Research and confirm vulnerability and asset ownership, coordinate corrections, and certify reporting-period ownership accuracy
• Scope, build, and deliver new reporting and ad hoc analytical research for program and client leadership
• Design and build metrics, scoring algorithms, and dashboards from scratch and iterate with stakeholders
• Transition mature analytics products to operational teams through documentation, training, and post-transition support
• Partner with vulnerability lifecycle operations teams to trace data defects to process origins and recommend upstream corrections
• Produce audit-ready documentation of analytical methods, data lineage, and reporting definitions
• Support additional analytical, reporting, and program improvement projects as assigned
• Perform other duties as assigned

Cyber Data Analyst

• Design, build, and publish Power BI reports consuming Fabric semantic models in DirectLake and Import modes
• Translate business needs into logical data models and clearly labeled report layouts
• Write and optimize DAX measures supporting business KPIs
• Gather, document, and refine reporting requirements with business partners
• Apply row-level and object-level security in semantic models
• Validate reports against source data for accuracy
• Create certified datasets and reusable templates for self-service analytics
• Participate in peer reviews of reports, DAX logic, and model design
• Present findings and partner across teams to turn data into decisions
• Use AI tools to improve analysis and delivery speed

Fabric Data Analyst

• Design, build, test, and maintain production-grade analytical data models using dbt and Databricks
• Develop scalable Gold-layer models that translate operational data into business-ready analytical datasets
• Design dimensional, domain-oriented, and reusable data models for reporting, analytics, and downstream data products
• Establish separation between raw/curated data, Gold analytical models, and the enterprise semantic layer
• Implement testing, documentation, lineage, version control, and deployment practices for analytical data assets
• Design and evolve semantic models for consistent business metrics, dimensions, and KPIs
• Build analytical foundations optimized for Tableau and other BI or self-service tools
• Centralize reusable definitions and reduce duplicated business logic across dashboards, reports, and analyst workflows
• Partner with analysts and business teams to translate business concepts into governed analytical models
• Treat analytical datasets, semantic models, and reusable metrics as managed data products
• Build reusable data products for multiple downstream consumers
• Partner with product, analytics, engineering, and business teams to identify and prioritize data products
• Improve usability, discoverability, and self-service usage of analytical data
• Develop Python, SQL, shell scripting, and similar utilities to automate data preparation, validation, deployment, monitoring, and operational workflows
• Build repeatable engineering patterns that replace manual analytics processes
• Participate in code reviews, debugging, performance optimization, and production support
• Apply Git, CI/CD, automated testing, modular development, and infrastructure-aware deployment practices
• Establish standards and design patterns for analytics engineering, modeling, semantic layers, and data products
• Provide technical guidance and mentorship to analytics engineers, analysts, and adjacent data teams
• Review architectures and code while remaining an active platform contributor
• Partner with data platform and data engineering teams on architecture, performance, governance, and data quality
• Help define the roadmap for the organization's analytics engineering capability

Senior Staff Engineer – Data Analytics

• Query, extract, cleanse, transform, and analyze data from multiple source systems for audit engagements and continuous monitoring
• Develop and maintain dashboards, reports, and visualizations using approved data analytics tools
• Perform data validation and reconciliation procedures to assess data reliability and completeness
• Identify trends, exceptions, anomalies, and potential control gaps
• Assist in developing automated audit tests and continuous auditing routines
• Support implementation of emerging technologies, including automation and AI-enabled audit solutions
• Assist with General IT, data, and operational audit engagements
• Perform risk and control assessments under senior auditor and audit management supervision
• Execute audit testing procedures and document results according to Internal Audit methodology and professional standards
• Evaluate IT general controls, including logical access, change management, computer operations, data protection, and related technology processes
• Participate in walkthroughs, interviews, and control testing with business and technology stakeholders
• Prepare audit workpapers, observations, and supporting documentation
• Track remediation efforts and validate management corrective actions
• Support annual and dynamic risk assessments, continuous monitoring, and special projects
• Maintain professional skepticism, confidentiality, objectivity, and adherence to Internal Audit and regulatory expectations
• Develop knowledge of banking operations, regulations, cybersecurity risks, technology controls, and audit frameworks
• Communicate audit and analytics results concisely, accurately, and professionally
• Collaborate effectively to provide a Best-in-Class Client Experience

IT Audit, Data Analyst

• Query, extract, cleanse, transform, and analyze data from multiple source systems for audit engagements and continuous monitoring
• Develop and maintain dashboards, reports, and visualizations using approved data analytics tools
• Perform data validation and reconciliation to assess data reliability and completeness
• Identify trends, exceptions, anomalies, potential control gaps, and process improvement opportunities
• Develop automated audit tests and continuous auditing routines
• Support emerging technologies, including automation and AI-enabled audit solutions
• Assist with General IT, data, and operational audit engagements
• Perform risk and control assessments under senior auditor and audit management supervision
• Execute audit testing and document results according to Internal Audit methodology and professional standards
• Evaluate IT general controls, including logical access, change management, computer operations, data protection, and related technology processes
• Participate in walkthroughs, interviews, and control testing with business and technology stakeholders
• Prepare audit workpapers, observations, and supporting documentation
• Track remediation efforts and validate management corrective actions
• Support annual and dynamic risk assessments, continuous monitoring, and special projects
• Maintain professional skepticism, confidentiality, objectivity, and adherence to Internal Audit and regulatory expectations
• Develop knowledge of banking operations, regulations, cybersecurity risks, technology controls, and audit frameworks
• Communicate audit and analytics results concisely, accurately, and professionally

• Prepare, integrate, cleanse, and analyze complex datasets for reports, dashboards, analytics products, and AI-enabled solutions
• Design, build, enhance, and maintain business intelligence reports and dashboards using Microsoft Power BI and Excel
• Translate business questions into analytical approaches, measures, data requirements, and clear findings supporting operational and strategic decisions
• Support solution design and prototyping through exploratory analysis, data visualization, and solution-feasibility evaluation
• Lead or support requirements gathering, data validation, user acceptance testing, deployment readiness, and post-implementation adoption activities
• Monitor data quality, investigate errors and anomalies, perform root-cause analysis, and coordinate corrective actions with data owners and technical partners
• Support data governance by documenting key fields, calculations, terminology, lineage, controls, and business processes
• Collaborate with business and Technology partners to prioritize analytical needs, communicate findings, and deliver actionable insights
• Provide technical guidance, peer review, knowledge sharing, and mentoring to analysts; contribute to standards and continuous improvement