Head of Data Analytics and Business Intelligence North America
Toronto
ZEISS Group
ZEISS is an international leading technology enterprise operating in the optics and optoelectronics industries.About Us:
How many companies can say they’ve been in business for over 177 years?!
Here at ZEISS, we certainly can! 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. We are a global company with over 42,000 employees and have over 4,000 in the US and Canada alone! Make a difference, come join the team!
What’s the role?
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. In this position, you will spearhead the integration of predictive analytics, accelerate the development of analytics capabilities, and provide invaluable insights.
Sound Interesting?
Here’s what you’ll do:
Leadership in Predictive Analytics:
Take the lead in integrating predictive analytics for proactive decision-making.
Accelerate the development of analytics capabilities across ZEISS Businesses.
Consultancy:
Build positive relationships across Business Services and the Business.
Establish KPIs and data usage policies, ensuring privacy legislation adherence.
Act as a consultant to critically examine strategic issues and priorities.
Practical Business Knowledge:
Adapt practical insights to impact operational and strategic choices.
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:
Provide robust reporting systems for operational transparency in service delivery.
Use strategic analytics to enhance decision-making.
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.
Do you qualify?
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.
Demonstrated experience in predictive analytics and advancing analytics skills.
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.
Knowledge/Skills/Abilities:
Critical thinking skills and a natural curiosity.
Strong communication and presentation skills.
Comfortable with predictive and descriptive analyses.
Knowledge of statistics, visual analytics, and modeling.
Demonstrated project management skills.
Working Conditions and Special Demands:
Hybrid work schedule – 3 days in the office/2 days remote.
Your ZEISS Recruiting Team:
Debra Ann Rybolt, Maria KhalilCOVID-19 Considerations
At ZEISS our highest priority is the safety of our employees and Customers. As a result, we are adopting additional prevention measures to ensure the safety of our employees and Customers. 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.
Accommodation
ZEISS is committed to creating an accessible and inclusive organization. We are committed to providing barrier-free and accessible employment practices. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: ANN Business Intelligence Computer Science Data analysis Data Analytics Data visualization Data Warehousing Finance Industrial KPIs Power BI Privacy Python R Research SQL Statistics Tableau
Perks/benefits: Startup environment
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