Sr. Analyst - Financial Operations

CVS Health•Woonsocket, RI

1d•$98,571 - $112,200•Hybrid

About The Position

Caremark LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr. Analyst - Financial Operations to develop and implement analytics and business intelligence reporting to measure and improve the effectiveness of various CVS Health programs and initiatives. Duties include: Leverage various analytical tools and skills, duties include routine extraction, consolidation, summarization, visualization, quality review, and delivery of data from various and potentially disparate source systems. Perform ongoing management of intake requests, task/project assignment to staff, quality review, periodic status updates, and deliverable timeline management. Participate in the design, development, implementation, and ongoing maintenance of operations leadership facing dashboards that summarize and benchmark various revenue cycle performance benchmarks and deviations from expected/targeted trend. Synthesize current business intelligence or trend data to support recommendations for action to create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. Develop large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. Write ETL (Extract / Transform / Load) processes, design database systems, and develop tools for real-time and offline analytic processing. Transform data and integrate algorithms and models into automated processes. Analyze and synthesize data to meet the insights, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements. Experiment with available software tools and advise on new tools to determine optimal solution given the requirements dictated by the model/use case. Support modeling/diagramming and build design specifications for data objects and surrounding data processing logic. Collaborate with business solution strategists and support new data source onboarding process through data discovery, profiling, and mapping. Participate in the development of comprehensive workflow solutions that support the expansion our analytics strategy, including the development of process improvement and self-service data solutions, report automation, and exception monitoring innovations. Execute components of special projects as assigned. Build high-performance data processing frameworks leveraging cloud and/or on-premise data platform. Participate in proof of concepts to build the data layers and concepts to derive analytical insights. Leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field.
Completion of a graduate-level course, research project, internship, or thesis in Data analytics on large data sets in healthcare, business, or retail sector.
Completion of a graduate-level course, research project, internship, or thesis in Marketing analytics, clinical trials, or health research.
Completion of a graduate-level course, research project, internship, or thesis in Machine learning, statistical analysis, and predictive modeling.
Completion of a graduate-level course, research project, internship, or thesis in Programming in R, Hadoop, or Python.
Completion of a graduate-level course, research project, internship, or thesis in SAS or SQL programming languages.
Completion of a graduate-level course, research project, internship, or thesis in Visualization tools, including PowerBI or Tableau.
Completion of a graduate-level course, research project, internship, or thesis in Tools to automate CI/CD pipelines: Jenkins, GIT, or Control-M.
Completion of a graduate-level course, research project, internship, or thesis in Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP).
Completion of a graduate-level course, research project, internship, or thesis in Designing data models and solutions for analytical and reporting use cases.
Completion of a graduate-level course, research project, internship, or thesis in Quantitative analysis techniques, including clustering, regression, and pattern recognition.
Completion of a graduate-level course, research project, internship, or thesis in Cloud components including cluster management, Kubernetes, or containerized services, storage, and workspace management.
Completion of a graduate-level course, research project, internship, or thesis in Relational database concepts.

Responsibilities

Develop and implement analytics and business intelligence reporting to measure and improve the effectiveness of various CVS Health programs and initiatives.
Leverage various analytical tools and skills, including routine extraction, consolidation, summarization, visualization, quality review, and delivery of data from various and potentially disparate source systems.
Perform ongoing management of intake requests, task/project assignment to staff, quality review, periodic status updates, and deliverable timeline management.
Participate in the design, development, implementation, and ongoing maintenance of operations leadership facing dashboards that summarize and benchmark various revenue cycle performance benchmarks and deviations from expected/targeted trend.
Synthesize current business intelligence or trend data to support recommendations for action to create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.
Develop large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
Write ETL (Extract / Transform / Load) processes, design database systems, and develop tools for real-time and offline analytic processing.
Transform data and integrate algorithms and models into automated processes.
Analyze and synthesize data to meet the insights, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements.
Experiment with available software tools and advise on new tools to determine optimal solution given the requirements dictated by the model/use case.
Support modeling/diagramming and build design specifications for data objects and surrounding data processing logic.
Collaborate with business solution strategists and support new data source onboarding process through data discovery, profiling, and mapping.
Participate in the development of comprehensive workflow solutions that support the expansion our analytics strategy, including the development of process improvement and self-service data solutions, report automation, and exception monitoring innovations.
Execute components of special projects as assigned.
Build high-performance data processing frameworks leveraging cloud and/or on-premise data platform.
Participate in proof of concepts to build the data layers and concepts to derive analytical insights.
Leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.