Data Analyst

• Partner closely across the organization to identify and manage inefficiencies proactively in the business
• Support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals
• Independently drive the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results
• Be called upon to speak to prepared analysis both internally and externally
• Own insights generation and follow-up for a major business unit, serving as the first point of contact for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, packaging and presenting findings in a clear, concise and compelling manner
• Enhance essential operational and analytical dashboards, defining requirements to enhance them as user needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, owning stakeholder relationships with managers & senior managers to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Operations Data Analyst

• partner closely across the organization to identify and manage inefficiencies proactively in the business
• support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals
• independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results
• speak to prepared analysis both internally and externally
• report into the Manager, Data Analytics

Associate, Operations Data Analytics

• Leads a team of analysts for strategic data projects
• Hires, evaluates, and supervises crew
• Oversees data analysts working with key stakeholders to understand business strategy
• Provides expert consulting for actionable solutions
• Collects, analyzes, and communicates statistics
• Develops processes and relationships for data project management

Manager, Data Analytics – Reporting

• Design and develop the analytical engine for a decision product
• Apply causal inference techniques
• Leverage predictive modeling and optimization approaches
• Translate complex business questions into structured analytical frameworks

Senior Data Analyst, Data Scientist – Decision Analytics, Modeling

• 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.

• 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

• Collect, clean, and organize data from various sources to ensure accuracy and reliability.
• Develop, maintain, and optimize Excel models, including complex formulas, pivot tables, and PowerPivot dashboards.
• Design and create dynamic dashboards and reports in Power BI to visualize data insights.
• Analyze trends, patterns, and correlations in data to identify opportunities for potential sales.
• Present findings in a clear and concise manner through reports and presentations.
• Provide forecasting data based on trends.
• Manage and maintain data repositories, ensuring security and accessibility.
• Automate repetitive tasks and improve existing data processes using Excel macros, VBA, and Power Query.
• Partner with cross-functional teams to understand their data needs and provide tailored solutions.
• Provide training to team members on how to use Power BI dashboards and advanced Excel functionalities.
• Stay updated on the latest tools and best practices in data analysis and visualization.

• Track customer contracts and any change orders
• Track subcontracts and any related change orders, ensuring that they are aligned with the project
• Ensure all contracts and change orders have been executed by the Project Manager or General Manager
• Review billings for accuracy and ensure all signatures are present. Submit billing to customer.
• Log billings in log to track outstanding invoices.
• Collect all vendor invoices from Project Managers on a weekly basis.
• Ensure all vendors invoices are received at project site and home office.
• Upload invoices on Egnyte and enter invoice log.
• Identify invoices overdue
• Enter invoices for payment
• Reconcile vendor statements.
• Gather and enter weekly timesheets into Jamis
• Maintain files with all project documentation.
• Upon project completion, archive all project documentation.
• Assist PM with quarter work orders
• Enter work orders in GOVT system
• Provide contract mandatory reports to client as required
• Prepare Daily Report/Enter all the information for each work plan in the database (Microsoft Access) to generate the daily report
• Gather/submit required information for new hires
• Prepare NDA forms for new hires and submit for signature.
• Request and prepare badges for new employees
• Prepare task order with information & photos after each task is complete and send them to client for signature.
• Prepare folders for estimates and photos for each work plan in Egnyte.
• Track/update employee roster
• Track and keep a list of fence breaches
• Track work orders, uploads photos, invoices, task receipts, daily reports, Govt inspection reports, and signed WARs in ILSS.
• Track/submit billing each month and QC with PM before submitting for COR approval.
• Prepare list of tasks and send to CBP Exec Asst to obtain environmental/real estate clearance
• Enter all information on approved task orders in ILSS to create work plans
• Review Tracker & Schedule to check numbers are correct and match with ILSS.

Project Data Analyst

• Analyze freight spend, transportation performance, and network flows to identify savings opportunities and operational improvements
• Develop automated dashboards and KPIs to track transportation cost, carrier performance, and shipment trends
• Support global freight negotiations with data insights, scenario modeling, and rate analysis
• Perform root‑cause analysis on cost variances, billing discrepancies, and service failures across all transportation modes
• Build and maintain scalable datasets, reports, and dashboards using tools such as Power BI, Excel, etc.
• Improve data quality across freight, transportation, and trade compliance systems
• Present insights clearly to leadership and cross‑functional teams, translating complex data into actionable business recommendations
• Collect, compile and analyze data from various databases and performs statistical analysis
• Develop reports and/or create dashboards providing financial related information needed to make informed business decisions
• Communicate complex data in comprehensible ways
• Evaluate information from multiple sources and clearly indicate quality of final analysis
• Identify, investigate and participate in opportunities to improve processes and procedures, including various key performance metrics

Transportation Data Analyst

• Create, maintain, and improve reporting, dashboards, and data structures that track business and operational performance
• Analyze data and identify trends to deliver meaningful insights that support decision-making
• Build and automate tools (including Power Platform solutions) that enhance performance management and reporting
• Work with new data sources and systems to develop scalable reporting solutions
• Ensure accuracy and quality by testing and validating all reports and tools
• Partner with stakeholders to understand reporting needs and recommend best practices

Business Analytics Analyst II

• Gather, aggregate, and manage data from various sources, including SQL databases, Oracle databases, SharePoint, flat files, and other structured or unstructured formats.
• Design, develop, and maintain interactive dashboards, reports, and visualizations using tools such as Tableau, Power BI, or similar.
• Develop and maintain SQL queries, stored procedures, and scripts to extract, transform, and manipulate data.
• Analyze and interpret complex data sets to identify trends, patterns, and actionable insights that inform business decisions.
• Collaborate with stakeholders and cross-functional teams to understand data needs and provide tailored, data-driven solutions.
• Ensure the accuracy, integrity, and security of data in all aggregation, analysis, and visualization activities.
• Continuously improve data aggregation and visualization processes to enhance efficiency and effectiveness.
• Participate in data governance and quality initiatives to uphold high standards of data management.

Data Science, Analytics Specialist

• Elicit, capture, and document business requirements, use cases, user stories, acceptance criteria, and detailed functional specifications
• Translate business/legal/operational terminology into technical requirements for system architects and programmer analysts
• Create test cases, test plans, and validation procedures
• Execute functional, integration, regression, and user acceptance testing
• Document results and manage defects through resolution
• Validate and reconcile data across systems; design test datasets
• Produce clear technical documentation, diagrams, sequence/flow charts, and API contracts
• Collaborate with product owners, security, DevOps, programmer analysts, QA, and infrastructure teams
• Participate in sprint planning, backlog grooming, and release activities
• Support troubleshooting and root cause analysis for incidents affecting applications and integrations
• Contribute to continuous improvement initiatives

Senior/Mid-Level Systems and Data Analyst

• Elicit, capture, and document business requirements, use cases, user stories, acceptance criteria, and detailed functional specifications
• Translate business/legal/operational terminology into technical requirements
• Create test cases, test plans, and validation procedures
• Validate and reconcile data across systems; design test datasets
• Produce clear technical documentation, diagrams, sequence/flow charts, and API contracts
• Collaborate with product owners and infrastructure teams
• Participate in sprint planning, backlog grooming, and release activities
• Support troubleshooting and root cause analysis for incidents

• Analyze complex people data and deliver clear, actionable insights to support strategic talent decisions across multiple business units.
• Work independently to determine the best analytical approach for each project, while collaborating closely with People Analytics Consultants.
• Present findings and recommendations to business leaders in a compelling, accessible way.
• Support projects related to organizational health, hiring and retention, workforce planning, employee experience, and more.
• Contribute to the development and enhancement of People Analytics solutions by sharing feedback and ideas.
• Manage multiple projects simultaneously, prioritizing work that drives the greatest impact for the business.

People Analytics Analyst

• Develop and deploy advanced analytical models to improve our understanding of Network supply and demand, identify operational inefficiencies, and deliver actionable recommendations to leadership
• Implement real-time dashboards and reporting to track and assess Network performance against established metrics
• Challenge the status quo and propose and test new strategies for increasing competition and engagement within our service provider network
• Analyze feedback, ratings, and reviews from multiple sources and stakeholders to gain insights into service quality and customer satisfaction
• Develop operational and performance data to generate actionable insights and recommendations for 3rd party service providers
• Analyze the capacity of our Network, identifying gaps and opportunities to improve operational efficiency and service quality
• Lead test and pilots for process changes as a result of analysis and communicate the results to management
• Serve as an internal data analytics expert by ensuring consistency in data analysis methodologies and sharing of best practices.

Lead Data Analyst – Network

• Lead, develop, and oversee a team of analytics professionals, providing direction, coaching, performance management, and workload prioritization
• Provide managerial oversight for the design, enhancement, and governance of proactive internal fraud monitoring strategies, ensuring alignment with enterprise risk objectives
• Establish and enforce consistent analytical standards, documentation, and governance practices across internal fraud analytics
• Review and guide the use of SAS- and SQL‑based analytics to ensure accurate analysis of large, complex enterprise data sets supporting fraud detection and monitoring
• Partner with executives and senior stakeholders to prioritize and deliver high‑risk, enterprise‑level initiatives with material operational and regulatory impact
• Translate complex business, risk, and control requirements into scalable analytical solutions, ensuring effective risk mitigation outcomes
• Serve as a trusted advisor and escalation point for senior leadership on internal fraud risk trends, monitoring effectiveness, and control gaps
• Ensure monitoring solutions withstand executive review, audit testing, and regulatory scrutiny
• Work independently with Internal Risk Management (IRM), Control, Audit, and other partners to provide oversight, challenge, and thought leadership on internal fraud risk and control enhancements
• Navigate ambiguity and shifting priorities while maintaining strong execution discipline, governance, and accountability

Senior Analytics Manager – Global Employee Fraud Monitoring Detection Analytics

• Own intake, prioritization, and execution of data and reporting requests from Development, Marketing, Finance, and Executive Leadership
• Build, maintain, and improve BI dashboards and reporting workflows using Sigma, Snowflake, and Virtuous CRM data
• Produce recurring weekly, monthly, quarterly, and annual reporting deliverables relied upon by leadership and the executive team
• Analyze cross-functional data to support fundraising strategy, operational decision-making, and organizational initiatives
• Partner with the Data Team on quality assurance and validation of high-visibility reporting deliverables
• Identify opportunities to improve reporting processes, automate repetitive work, and increase operational efficiency
• Build lightweight internal tools, scripts, and automations using modern AI-assisted development workflows
• Contribute to ongoing data quality, operational, and CRM-related initiatives across the Development department

• Lead end‑to‑end analysis of the radiology revenue cycle, including scheduling, authorization, charge capture, coding, billing, reimbursement, AR, and denials.
• Develop, maintain, and enhance dashboards, reports, and KPI frameworks to monitor performance at enterprise, payer, modality, location, and workflow levels.
• Identify trends, risks, and opportunities related to cash acceleration, denial reduction, underpayments, productivity, and operational efficiency.
• Translate complex data into clear, actionable insights for executive and operational leaders.
• Ensure data accuracy, integrity, and consistency across systems and reporting outputs.
• Partner with RCM operations leaders to diagnose issues in front‑end, coding, billing, and follow‑up workflows and support corrective action plans.
• Collaborate with finance on revenue forecasting, performance tracking, and variance analysis.
• Support payer strategy and contract performance analysis through data‑driven insights.
• Provide analytics support for strategic initiatives, audits, and performance improvement programs.
• Leverage EHR, practice management, RCM platforms, and analytics tools to automate reporting and improve data accessibility.
• Work with IT and vendors on data mapping, system enhancements, and integration of radiology‑specific workflows (modalities, CPTs, payer rules).
• Continuously improve data processes to reduce manual work and increase speed and reliability.
• Serve as a people manager and mentor for RCM analytics staff, setting clear expectations, reviewing work quality, and developing analytical capability across the team.
• Establish standards for analytical rigor, documentation, and repeatable reporting processes.
• Foster a high‑performance, high‑accountability culture with strong attention to detail and follow‑through.
• Prioritize and allocate analytical resources based on business impact and organizational needs.

Senior Revenue Cycle Management, Data Analyst

• 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.

See all jobs on JobTailor

Operations Data Analyst

Associate, Operations Data Analytics

Manager, Data Analytics – Reporting

Senior Data Analyst, Data Scientist – Decision Analytics, Modeling

Data Analyst

Data Analyst

Junior Data Analyst

Data Analyst

Project Data Analyst

Transportation Data Analyst

Business Analytics Analyst II

Data Science, Analytics Specialist

Senior/Mid-Level Systems and Data Analyst

Senior/Mid-Level Systems and Data Analyst

People Analytics Analyst

Lead Data Analyst – Network

Senior Analytics Manager – Global Employee Fraud Monitoring Detection Analytics

Data Analyst

Senior Revenue Cycle Management, Data Analyst

Senior Product Data Analyst