Community Health Systems

Compensation

Full Description

Job Summary As a Senior Data Analyst for the Information Technology organization, you'll be responsible for identifying, curating, publishing, and visualizing data in a way that is easily interpreted and understood. Successful data analysts have strong SQL skills, a deep understanding of data warehousing and data products, and the ability to quickly understand the structure and relationship of data from a broad range of sources. You will have the opportunity to work with various programming languages, technologies, and both structured and unstructured data. A Qualified Candidate: • Is a Lifelong Learner and Passionate about Technology • Is Experienced with Business Intelligence (BI) and data visualization and can show examples of past work • Is very proficient with SQL, with the ability to demonstrate understanding of various concepts, capabilities, and functions including, but not limited to, the following: Joins, grouping, ordering, common table expressions, case functions, regex • Derives joy from tackling complex problems and working through solution tradeoffs • Can learn on the fly and fill knowledge gaps on demand • Has experience working with a variety of people at various levels • Has a strong ability to interpret datasets and identify information, trends, and patterns. • Has 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 • Has aptitude for data presentation and ability to transform raw data into meaningful, actionable reports • Has experience with Looker / Google Data Studio or similar platforms • Has strong exploratory data analysis skills and can translate stakeholder requirements into data products • Has excellent communication skills Essential Functions • Provides 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. • Develops complex SQL queries to combine and transform raw data into datasets needed for metrics and other analytical functions. • 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: • Required Education: Bachelor's degree in computer science, information systems, cyber security, business, statistics, mathematics, or a related field • Preferred Education: Master's degree in computer science, information systems, cyber security, business, statistics, mathematics, or a related field • Computer Skills Required: • Advanced skills with SQL • Experience with python, javascript, CSS, or other languages a plus. • Desired experience in: Looker Studio / Google Data Studio, BigQuery Required Experience: • 3+ years of experience with developing compelling stories and distinctive visualizations. • 3+ years of relevant experience with data quality rules, data management organization/standards, practices and software development. • 4+ years of SQL experience. • 3+ years of dashboarding / BI tool experience (Looker Studio, PowerBI, Tableau, etc). • Experience in statistical analysis, data models, data warehousing, and queries. • Data application and practice knowledge. • 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 • Python • Javascript • CSS • Looker Studio / Google Data Studio