Community Health Systems is one of the nation’s leading healthcare providers. Developing and operating healthcare delivery systems in 44 distinct markets across 15 states, CHS is committed to helping people get well and live healthier. CHS operates 78 acute-care hospitals and more than 1,000 other sites of care, including physician practices, urgent care centers, freestanding emergency departments, occupational medicine clinics, imaging centers, cancer centers and ambulatory surgery centers.

Summary:

Are you looking to solve the most interesting problems at the cross-roads of Data Engineering and Cyber Security?

As a Senior Cyber Security Engineer, Data Analyst L3 for the Cyber Security Risk Management organization you’ll be responsible for acquiring, curating, publishing, and visualizing data in a way that is easily interpreted and understood. Successful data analysts have a strong understanding of ETL and data pipelines, but with a focus on how that data will be manipulated and presented once it has been gathered. You will have the opportunity to work with various programming languages, technologies, and both structured and unstructured data.

A qualified candidate is:

• Lifelong Learner and Passionate about Technology
• Experienced with Business Intelligence (BI) and data visualization and can show examples of past work
• Derives joy from tackling complex problems and working through solution tradeoffs
• Able to learn on the fly and fill knowledge gaps on demand
• Able to work with a variety of people at various levels
• Excellent data management and QA skills – Process Oriented
• Recognizes business requirements in the context of data visualization and reporting and creates data models to transform raw data into relevant insights
• Aptitude for data presentation and ability to transform raw data into meaningful, actionable reports
• Has experience with Looker / Google Data Studio or platforms
• Excellent communication ability

Essential Duties and Responsibilities:

• Provides basic to moderate technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to lead in the design, development and implementation of data products.
• Collaborates with stakeholders to understand data needs and requirements for visualizations taking a “Design Thinking” approach to problem solving and interactive solutioning.
• Collaborates with stakeholders to define metrics and cultivate data sources to support reporting insights aligned to business goals.
• Creates dashboards and interactive visualizations that allow users to explore data in meaningful ways.
• Provides training and support to end-users on how to interpret and interact with data visualizations.

• Produces data views, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration.

• Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
• Collaborates with enterprise teams and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.
• Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Practices code management and integration with engineering Git principle and practice repositories
• Participates as an expert and learner in team tasks for data analysis, architecture, application design, coding, and testing practices.

Qualifications:

• Undergraduate studies in computer science, management information systems, business, statistics, math, a related field required.
• Graduate studies in business, statistics, math, computer science or a related field are preferred.

Required Experience:

• Minimum three years’ experience with developing compelling stories and distinctive visualizations.
• Minimum three years of relevant experience with data quality rules, data management organization/standards, practices and software development.
• Experience in statistical analysis, data models and queries.
• Data application and practice
• Good problem solving, oral and written communication skills.
• Strong working knowledge of graphic design or UI design.

Preferred Experience:

• Healthcare/Insurance/financial services industry knowledge
• Cyber Security experience

Computer Skills Required:

• Moderate to advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby).
• Desired experience in: Looker / Google Data Studio, BigQuery

Physical Demands:
In order to successfully perform this job, with or without a reasonable accommodation, the following are outlined below:

• The Employee is required to read, review, prepare and analyze written data and figures, using a PC or similar, and should possess visual acuity.
• The Employee may be required to occasionally climb, push, stand, walk, reach, grasp, kneel, stoop, and/or perform repetitive motions.
• The Employee is not substantially exposed to adverse environmental conditions and; therefore, job functions are typically performed under conditions such as those found within general office or administrative work.