Head of Business Analytics and Data Science

Found in: Jooble CA O C2 - 2 weeks ago

Toronto ON, Canada Carl Zeiss, Inc. Full time

Head of Data Analytics and Business Intelligence North America page is loaded Head of Data Analytics and Business Intelligence North America
Apply locations Toronto time type Full time posted on Posted 11 Days Ago job requisition id JR_1030987 About Us:
How many companies can say they’ve been in business for over 177 years?
As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world, meeting it with cutting edge technologies and continuous advancements. ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change. We have a diverse range of portfolios throughout the ZEISS family in segments like Industrial Quality & Research, Medical Technology, Consumer Markets, and Semiconductor Manufacturing Technology. Are you a forward-thinking data strategist eager to lead the charge in shaping the future of analytics within a dynamic, multipurpose Business Services environment? We are in search of a results-driven individual for the role of Head of Data Analytics and Business Intelligence North America to propel ZEISS Business Services North America to new horizons. Accelerate the development of analytics capabilities across ZEISS Businesses.
Build positive relationships across Business Services and the Business.
Establish KPIs and data usage policies, ensuring privacy legislation adherence.
Practical Business Knowledge:
Leverage cross-functional data in Business Services and the Business for thorough analysis.
Utilize integrated data to deliver insights across HR, Finance, IT, Procurement, Facilities, Communications, and more.
Data Analysis and Reporting, Transparency in Operations:
Strategic Analytics for Business Services North America:
Integrate data from various departments to provide intelligent analytics for strategic decision-making.
Develop reporting dashboards for Advancement with metrics and business outcome monitoring.
Data Warehousing & Infrastructure Development:
Lead the design and implementation of data infrastructure.
Develop data models and definitions.
Ensure the team acquires and maintains knowledge of best practices and tools for data analysis.
Bachelor's or master's degree in computer science, business, data science, or a related discipline.
Five years of progressively responsible experience in data/statistical methods, applications, research, and analysis.
Proficiency in programming languages (R, Python, SQL) and data analytics tools.
Familiarity with data visualization software (Tableau, Power BI).
Strong proficiency in multivariant and cross-functional data analysis.
Comfortable with predictive and descriptive analyses.
Demonstrated project management skills.
Hybrid work schedule – 3 days in the office/2 days remote.
Domestic and international travel required (approximately 25% or more).
Debra Ann Rybolt, Jo Anne Mittelman, Maria Khalil COVID-19 Considerations
Therefore, any offer of employment is conditional upon you submitting proof that you have been fully vaccinated with a Health Canada or World Health Organization (WHO) approved COVID-19 vaccination as soon as possible and no later than fourteen (14) calendar days prior to the effective start date, in addition to satisfying any other condition(s) that may be set out in an offer. If a candidate fails to satisfy this condition (or any other condition(s) set out in an offer), any offer of employment shall be immediately rescinded.
Should you require Code-protected accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs.
Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

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