Senior Data Analyst
About The Position
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.
Requirements
- 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.
- 3+ years of experience in data analysis or related roles
- Experience in leading projects and teams
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Ability to work remotely within a commutable distance
- Willingness to travel domestically up to 10%
Nice To Haves
- Certifications in data analytics or cloud technologies preferred
Responsibilities
- Complete assigned projects and manage work time effectively
- Perform analysis on complex call center data for actionable insights
- Design scalable data models and ETLs for analytics solutions
- Generate insightful reports using visualization tools
- Utilize statistical techniques for forecasting patient compliance
- Facilitate knowledge sharing and maintain reusable asset library
- Lead synthesis of business intelligence and data collection
- Drive BI engineering best practices and operational excellence
- Identify opportunities for process automation and enhancements
- Supervise one Operations Analyst and lead junior analysts
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
