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Senior Business Intelligence Analytics Professional

2 months ago

Ottawa, Ontario, Canada Ciena Corporation Full time

Ciena Corporation is committed to prioritizing a personalized and flexible work environment that empowers an individual's passions, growth, wellbeing and belonging.

As the Senior Business Intelligence Analytics Professional, your role will be pivotal in helping Ciena's business transition from descriptive and diagnostic analytics to predictive and prescriptive analytics using data science, AI and ML. This will help in enhancing our analytics capabilities and building products and solutions that extract business insights from data. You should possess a deep understanding of Data Science, AI/ML technology, particularly in applying AI, Machine Learning, and Data Science capabilities to solve data challenges. A solid comprehension of data science use cases is essential. In this role, you will collaborate closely with business leaders, business analysts, data engineers, and others to transition Ciena data analytics and insights from Business Intelligence (BI) to Artificial Intelligence (AI).

Key Responsibilities:
  • Partner with Business Teams: Collaborate with business stakeholders to understand their challenges, identify opportunities for data-driven solutions, and translate business requirements into analytical problems.
  • Data Acquisition and Preparation: Source, collect, and cleanse data from various internal and external sources. Transform data into usable formats for analysis.
  • Advanced Analytics: Develop and implement statistical and machine learning models to analyze large and complex datasets, uncovering patterns, trends, and insights.
  • Story Telling: Create compelling narratives to communicate findings effectively to both technical and non-technical audiences.
  • Model Deployment: Deploy data models into production environments to enable real-time decision-making and automation.
  • AI Governance: Ensure data quality, integrity, and security by adhering to AI governance standards and best practices.
  • AI Evangelist: Keep abreast of the latest data science trends, technologies, and methodologies.

Ciena values its employees as individuals and does not tolerate any form of discrimination. The company is an Equal Opportunity Employer, including disability and protected veteran status.

Requirements:
  • Proven Experience: Minimum of 10 years of experience as a Data Scientist, with a demonstrated track record of successfully collaborating with business teams to drive data-driven decision-making.
  • Technical Proficiency: Strong proficiency in programming languages (Python, R, or similar), statistical modeling, machine learning algorithms, and data visualization tools (e.g., Looker, Power BI).
  • Business Acumen: Ability to understand business challenges, translate them into data-driven questions, and communicate findings in a clear and actionable manner.
  • Communication Skills: Excellent verbal and written communication skills to effectively convey complex technical concepts to both technical and non-technical audiences.
  • Collaboration: Proven ability to build strong relationships and collaborate effectively with cross-functional teams.
  • Problem-Solving: Strong analytical and problem-solving skills with a data-driven approach.
  • Education: Advanced degree in Statistics, Mathematics, Computer Science, or a related field preferred.

The annual pay range for this position in California is $180,200 - $287,800 USD, while in Canada it is $129,700 - $207,300 USD. Please note that these figures are subject to variations based on knowledge, skills, experience, market conditions, and locations. Additionally, eligible employees may receive discretionary incentive bonuses or sales commissions. The company offers a comprehensive benefits package, including medical, dental, and vision plans, participation in retirement plans, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), paid holidays, sick leave, and vacation time.