Lincare
Overview
Sr Data Analyst role at Lincare. This position will involve completing assigned projects, learning required skills, managing time to meet deadlines, taking initiative, and architecting solutions while collaborating with coworkers. The role may include more complex projects with advanced skills such as coding in advanced languages, building machine learning algorithms, maintaining department tools, applying advanced mathematics to produce valid statistical analyses, and mentoring junior analysts to develop their skills for the departments advancement. Responsibilities
Perform analysis on large volumes of complex call center data, medication, diagnosis, and patient information from diverse sources to generate actionable insights aimed at increasing revenue and margin. Create end-to-end analytics solutions with experience designing scalable data models and ETLs, partnering with developers to design, build, and operationalize dashboards, reports, and data sources. Design data lakes and architect robust pipelines in Azure cloud, including Azure Virtual Machines, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS); generate insightful reports using Tableau, Power BI, and Excel, alongside programming languages such as SQL, Python, and R to align with business objectives. Utilize statistical techniques and predictive modeling to forecast patient compliance and call recommendations based on device usage by patients and call patterns. Facilitate knowledge sharing and maintain a library of reusable assets (scripts and queries) in Azure DevOps enabling version control to enhance efficiency. Lead the synthesis of current business intelligence, perform data collection from various sources, data mining, and determine storage methods and analysis related to call center operations involving AVAYA Proactive Outreach Manager (POM) to support actionable recommendations for executives, managers, and stakeholders, focusing on operations and omnichannel outreach strategies. Drive BI engineering best practices, including code reviews, adherence to syntax and naming conventions, metric definitions, and BI operational excellence. Spearhead process enhancements and identify manual data/business processes for automation, leveraging Lean principles and tools such as Celonis and Power Automate. Drive project initiatives to enhance revenue, profitability, and customer experience by proactively identifying opportunities and presenting findings to senior executives. Directly supervise one Operations Analyst. Remote work may be permitted within a commutable distance from the worksite. 10% of domestic travel required. Working arrangements
Full-time - Mon-Fri (40 hours per week) Remote work flexibility within a commutable distance from the worksite 10% domestic travel required Details
Seniority level : Mid-Senior level Employment type : Full-time Job function : Information Technology Industries : Hospitals and Health Care
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Sr Data Analyst role at Lincare. This position will involve completing assigned projects, learning required skills, managing time to meet deadlines, taking initiative, and architecting solutions while collaborating with coworkers. The role may include more complex projects with advanced skills such as coding in advanced languages, building machine learning algorithms, maintaining department tools, applying advanced mathematics to produce valid statistical analyses, and mentoring junior analysts to develop their skills for the departments advancement. Responsibilities
Perform analysis on large volumes of complex call center data, medication, diagnosis, and patient information from diverse sources to generate actionable insights aimed at increasing revenue and margin. Create end-to-end analytics solutions with experience designing scalable data models and ETLs, partnering with developers to design, build, and operationalize dashboards, reports, and data sources. Design data lakes and architect robust pipelines in Azure cloud, including Azure Virtual Machines, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS); generate insightful reports using Tableau, Power BI, and Excel, alongside programming languages such as SQL, Python, and R to align with business objectives. Utilize statistical techniques and predictive modeling to forecast patient compliance and call recommendations based on device usage by patients and call patterns. Facilitate knowledge sharing and maintain a library of reusable assets (scripts and queries) in Azure DevOps enabling version control to enhance efficiency. Lead the synthesis of current business intelligence, perform data collection from various sources, data mining, and determine storage methods and analysis related to call center operations involving AVAYA Proactive Outreach Manager (POM) to support actionable recommendations for executives, managers, and stakeholders, focusing on operations and omnichannel outreach strategies. Drive BI engineering best practices, including code reviews, adherence to syntax and naming conventions, metric definitions, and BI operational excellence. Spearhead process enhancements and identify manual data/business processes for automation, leveraging Lean principles and tools such as Celonis and Power Automate. Drive project initiatives to enhance revenue, profitability, and customer experience by proactively identifying opportunities and presenting findings to senior executives. Directly supervise one Operations Analyst. Remote work may be permitted within a commutable distance from the worksite. 10% of domestic travel required. Working arrangements
Full-time - Mon-Fri (40 hours per week) Remote work flexibility within a commutable distance from the worksite 10% domestic travel required Details
Seniority level : Mid-Senior level Employment type : Full-time Job function : Information Technology Industries : Hospitals and Health Care
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