This employee will be responsible for completing any and all assigned projects including but not limited to; learning the necessary skills required, managing work time to meet deadlines, take initiative and architect a solution for any obstacles, and work respectfully with their fellow co-workers. They will be expected to take on more complex projects which may include more advanced skills such as coding in advanced languages, building machine learning algorithms, maintaining advanced department tools, using advanced mathematics to produce valid statistical
models, or use any other advanced techniques. Finally, they will be required to openly share/teach and lead junior analysts in the development of their skills and knowledge for the overall advancement of the department.

JOB FUNCTIONS

Perform analysis on large volume 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 the experience of 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 but not limited to, Azure virtual machines, Azure data factory (ADF), and Azure data lake storage (ADLS), and generate insightful reports using visualization tools such as Tableau, Power BI, and Excel alongside programming languages, including SQL, Python, and R to align business objectives.
Utilize statistical techniques and predictive modelling to forecast patient compliance and call recommendation based on device usage by patients and call patterns.
Facilitate knowledge sharing and maintain a library of reusable assets, such as 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, syntax and naming conventions, metric definitions, and BI operational excellence.
Spearhead process enhancement and identify manual data/business process for automation, leveraging Lean principles, appropriate technologies, and tools such as Celonis and Power-automate.
Drive project initiatives to enhance revenue, profitability, and customer experience by proactively identifying opportunities and scope, and presenting findings to the senior executives.
Directly supervise one (1) Operations Analyst.
Remote work may be permitted within a commutable distance from the worksite.
10% of domestic travel required.

JOB FUNCTIONS

Full Time - Mon-Fri (40/hrs a week)

We are looking forward to receiving your complete application by selecting the 'Apply' button.

Requirements:

Education

Bachelor's Degree Required, or foreign equivalent, in Information Technology, Computer Science, Electronic Engineering, Statistics, Business Administration, or a related field
Two (2) years of experience in the job offered or in a related position.
Two (2) years of experience with:
- Developing scalable ETL processes by acquiring, integrating and transforming data using Oracle, SQL server or DB2
- Generating production ready dashboards and reports with Tableau, Power BI, and Excel to meet business intelligence objectives
- Creating analytical solutions and functions using Linux, SQL, Python, and R for data analysis, statistics and predictive analytics
- Analyzing business intelligence, perform data mining, design and manage servers/databases supporting applications and reporting
- Manage knowledge sharing and documentation enabling code version control and continuous integration using github/cloud solutions
- Leveraging strong data analytics and problem-solving skills to identify key insights, troubleshoot, and optimize data pipelines from varied sources
- Orchestrate and manage virtual machines, data storage and pipelines in cloud.

Lincare Inc.

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