Data Analyst

• Analyze data to identify trends, patterns, and opportunities that improve productivity and profitability
• Design and maintain reports, dashboards, and data visualizations
• Translate complex data into clear, actionable insights
• Collaborate with our marketing, operations and accounting departments to improve operational performance internally and externally.
• Validate and review data to ensure accuracy, consistency, and reliability
• Identify and resolve data discrepancies, anomalies, and data quality issues within reporting and analysis
• Identify opportunities to improve reporting efficiency and effectiveness

• Conduct in-depth analyses of producers' books to identify potential cross-sell leads and help build a pipeline of cross-selling opportunities.
• Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps in services, excessive fees, benchmarks for improvements, elevated fiduciary exposure, financial health indicators, current broker/advisor capabilities, etc, to spot opportunities.
• Identify trends within the data and provide actionable insights and recommendations for producers.
• Generate reports in Power BI, Excel, and other tools based on collected data.
• Build and maintain relationships with producers, the regional cross-selling team, and other business stakeholders.
• Perform additional job-related duties as needed

Cross-Sell Data Analyst, Dynamics 365

• 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

• 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

• 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

• Lead our business intelligence efforts and drive data-informed decision-making across the organization.
• Act as the Single Point of Accountability for the organization’s reporting ecosystem.
• Manage and optimize pricing analytics reporting and develop competitive analysis, customer segmentation, and price elasticity.
• Design, build, and maintain automated Power BI or Tableau dashboards for Sales, Operations, and Finance teams.
• Collaborate with the Supply Chain team to report on Inventory Velocity and analyze Days Sales Outstanding (DSO).

Manager, Pricing & Data Analytics

• 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

• quantitative analysis and predictive modeling of healthcare data to provide management with statistical findings and conclusions
• develop, collect and analyze metrics and data to formulate fact-based decisions
• proactively implement process improvements through analysis of claim and operational data

• 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

• Analyzes, designs, develops, tests, and implements new application components.
• Maintains and optimizes already deployed Enterprise applications.
• Demonstrates high-level technical skills and shows technical leadership abilities.
• Keen eye towards ensuring high quality standards have been delivered on technology projects.
• Designs and develops software and data testing plans according to specifications, adhering to all phases of the Software Development Life Cycle and the standard enterprise architecture.
• Assists in defining, documenting, and developing software testing results in collaboration with the project team.
• Contributes to the review and analysis of business requirements.
• Contributes to the architecture and technical design discussions, code reviews and technical designs/specifications.
• Creates thoughtful project documentation and technical specifications.
• Documents test cases and executes tests to ensure quality software is delivered.
• Assesses the impact of software changes and new development on other systems; conducts integration tests to mitigate risks.
• Takes technical direction from senior team members and participates in a knowledge-sharing environment.
• Participates in agile team processes.
• Provides reasonable work estimates and communicates deviations from estimates or work product in advance of deadlines.
• Develops, monitors, and tracks the progress of action plans.
• Supports production applications.
• Adheres to all company policies and procedures, including Information Security Policies and ensure that AMSURG remains as secure as possible.

• Transform complex data into actionable insights that drive strategic business decisions
• Work collaboratively with cross-functional teams to analyze data, identify trends, and develop innovative solutions
• Collect, clean, and validate data from multiple sources to ensure accuracy and integrity for analysis
• Analyze complex data sets using SQL, statistical methods, and data modeling techniques to identify trends, patterns, and opportunities
• Design and develop data visualizations and reports using tools such as Tableau, Power BI, or equivalent platforms to communicate insights to stakeholders
• Translate business requirements into analytical solutions and develop metrics that align with organizational objectives
• Collaborate with finance, operations, and other departments to understand reporting needs and assess data requirements
• Create and maintain dashboards and automated reports that track key performance indicators and support decision-making
• Prepare written analyses, visualizations, and presentations for management reviews and stakeholder meetings
• Support the evaluation of data systems and tools, recommending improvements to enhance reporting capabilities and efficiency
• Work independently on assigned projects while maintaining open communication with team members and supervisors
• Contribute to the continuous improvement of data processes and analytical methodologies

• Lead strategy team to help set 2030 enterprise-level strategy to support long-term company growth and market leadership.
• Manage creation of actionable company-wide annual goals to drive organizational transformation in key areas.
• Support tracking of execution towards goals and reporting to senior leadership.
• Support management of the annual strategic planning cycle to drive facility-level growth initiatives.
• Create enterprise-wide tracking of execution of growth plays.
• Manage the portfolio evaluation process for assets.
• Deliver facility-level strategy sessions with facility leadership and physician partners.
• Build analytical tools and foster a culture of data-driven decision-making across the organization.
• Oversee data governance, development and management of enterprise data definitions, standards and data quality.
• Implement advanced analytics frameworks including AI and predictive modeling to support strategic, financial and operational goals.

Vice President of Strategy and Data Analytics

• Analyze marketing performance data to identify trends, opportunities, and areas for improvement in driving MQLs
• Support development and implementation of data-driven marketing strategies to achieve business objectives
• Support A/B tests and other experiments to optimize marketing campaigns and website performance
• Develop Learning plans that allow for systemic improvement in website performance
• Create and maintain dashboards to monitor key metrics and provide real-time insights to stakeholders
• Develop comprehensive reports on marketing performance and ROI
• Ability to tell a story through the analysis of data
• Collaborate with marketing teams to align on data requirements and insights
• Partner with technology and product teams to ensure data accuracy and accessibility
• Communicate complex data insights to both technical and non-technical audiences
• Conduct weekly/monthly meetings focused on reviewing weekly/monthly performance of marketing campaigns

Senior Data Analyst, Marketing

• Set up, configure, and maintain tracking on healthcare websites and mobile apps
• Serve as a contributor on Adobe CJA implementations and ongoing support engagements
• Work with engineering teams to implement and test tags and scripts using tools like Freshpaint or Tealium
• Produce high-quality client deliverables, including initial performance reports and solution documentation
• Analyze web and product analytics data to identify user behavior patterns, conversion trends, and opportunities for optimization
• Own individual work streams within larger enterprise projects
• Present findings and recommendations clearly and conversationally during project milestone meetings
• Operate with a 'builder' mindset, staying updated on industry trends in healthcare analytics

Data Analyst II

• Own our data strategy.
• Lead the planning, prioritization and deployment of all data initiatives for the company, including dashboard development, ad hoc analysis and predictive analytics projects.
• Drive analytics and insights by being a thought leader and authority for the company on trends of key business metrics (ie. LTV, CAC, ARR, ARPA, Churn, and AOV).
• Maintain and establish analytical frameworks to support product, business and operational decision making.
• Manage dashboards, reports, and visualizations using our data warehouse (Snowflake), transformation layer (DBT) and visualization solution (Looker).
• Collaborate and provide thought leadership across departments (Marketing, Product, Engineering, Sales and Finance) to understand and support ongoing and new data requirements, driving data development projects and improvements.
• Conduct in-depth analysis of conversion rates in purchase funnels and subscriber churn, providing strategic recommendations for optimization.
• Develop predictive models to identify trends or make connections between disparate data sources that yield insights to drive more informed decision making.
• Ensure data quality and governance: Build and maintain systems to ensure data accuracy, consistency, and reliability across the organization.

Director of Data Analytics

• 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

• Lead, coach, and develop a high-performing analytics team
• Drive end-to-end analytical strategy and delivery
• Own standardized regional and global reporting frameworks
• Partner with global and regional stakeholders for analytics solutions
• Manage the regional Power BI environment
• Oversee integration of enterprise source systems into reporting architecture
• Collaborate cross-functionally to consolidate data and deliver insights
• Ensure consistency of reporting by aligning regions to global frameworks

Manager, Operations Performance and Data Analytics

• Own Upstream’s enterprise data, analytics, and AI strategy
• Define and execute a 3-year analytics roadmap aligned to revenue, cost, and quality KPIs
• Lead, mentor, and grow a team of 4–6 analysts and engineers
• Design and deploy enterprise dashboards, predictive models, and automated insights using Microsoft Power BI + Fabric
• Integrate data from EHR (RainTree), RCM, etc.
• Implement real-time analytics using Azure Data Lake + Synapse
• Champion AI/ML adoption (e.g., demand forecasting, therapist scheduling, outcome prediction)
• Foster cross-functional partnerships (Clinical, Revenue Cycle, Operations, Finance)

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