WSAudiology is a global leader in the hearing aid industry. Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

Our portfolio of technologies spans the full spectrum of hearing care, from distinct hearing brands and digital platforms to managed care, hearing centers and diagnostics locations.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collaborate with the business to identify reporting needs and lead consultations with Stakeholders to understand what data they want to see and why.
  
• Clean and prepare data for analysis by removing errors, identifying outliers, and transforming data into a format that can be analyzed.
  
• Access existing databases and create processes for storage of new data.
  
• Working with IT and other departments, develop strategies and initiatives that improve internal reporting.
  
• Ensure the integrity of data, which includes data extraction, processing, storage, manipulation and analysis
  
• Distribute generated reports according to distribution lists as well as ad-hoc reporting
  
• Regularly examine data reports to locate and resolve mistakes throughout
  
• Work with stakeholders to analyze and develop standards for preparing and delivering business reports.
  
• Build new standard reports combining a wide array of data sources available in WSA
  
• Develop automation for recurring analytics in Excel with VBA and Automation Anywhere driven automations
  
• Utilize automated tools to extract data from primary and secondary sources
  
• As the need develops, build machine learning models for predictive analytics
  
• Work with stakeholders to analyze and develop standards for preparing and delivering business reports

REQUIREMENTS:

• Bachelor’s degree
  
• At least 3-years of experience in the data analytics space
• Superior analytical skills incl. the ability to create complex data models
  
• Experience in PowerBI or similar tools to create visualizations in the company
  
• Advanced Excel
• Knowledge in building machine learning models
  
• Excellent verbal and written communication skills, and interpersonal skills.
  
• Highly organized and attentive to detail
  
• Must be able to meet or exceed on launch deadlines
  
• Self-starting with exceptional follow-through and multi-tasking capabilities
  
• Ability to quickly adapt in a fast-paced and challenging industry
  
• Highly motivated with a strong desire to succeed.

The Company provides equal opportunity to all employees and prospective employees without regard to race, color, creed, religion, national origin, ancestry, sex, age, physical or mental disability, marital status, pregnancy, genetic information, sexual orientation, gender identity, protected veteran or military status, or any other consideration not related to the person’s ability to do the job or otherwise made unlawful by federal, state, or local law.