Services Business Intelligence & Analytics Intern

Job summary

Develop advanced analytics capabilities, including sentiment analysis and quality scoring for call analytics, project cost profiling, KPI outlier detection, and order plan forecasting. Collaborate with stakeholders and teams to design tools that support technical support, project management, executive decision-making, and product line planning.

Job details

As the global leader in high-speed connectivity, Ciena builds the critical infrastructure powering the AI era. We’re a technology company shaping the future of networking, guided by innovation, integrity, and collaboration. Through development opportunities, meaningful work, and flexibility, Ciena supports growth and well-being—on and off the job. Connect with a career that matters. The Opportunity: Work term of 4 months starting in January 2027. The Ciena Services Business Intelligence & Analytics team provides data reporting and analysis capabilities across the transactional spectrum from Sales Opportunities to Post Sales Services. The team supports more than 400 reports used by over 1500 internal users more than 10 000 times per month. This student / Intern role contributes to the development of new Machine Learning and Artificial Intelligence based Advanced Analytics capabilities as the team moves from operational reporting to more advanced analytics. How you will make an impact: Enhance the Call Analytics tool, providing advanced sentiment analysis and quality scoring to the Technical Support Organization. Participate in the design and development of the Cost Profiling tool to help Project Managers forecast project cost schedules. Participate in the design and development of a KPI Outlier Detection program to provide executives with advanced warning signals. Participate in the design and development of Order Plan forecasting to help the Product Line Management team evaluate long term business evolution. The must haves: Education: Actively enrolled in a degree program in Engineering, Computer Science, or similar program with some level of formal learning in Data Science, Interpersonal communication, problem-solving, and analytical skills to facilitate relationships with stakeholders and other team members. Commitment to on-time delivery. Comfort working mostly remotely in a global organization, considering global time-zones. Ability to work independently to prioritize activities and set functional goals/objectives. Attention to detail to ensure data completeness and accuracy. Computer proficiency in MS Office - Excel, Word, PowerPoint Outlook. Nice to haves: Practical experience with Data Science concepts and tools. Experience with Power BI or other Analytics, Modeling and Visualization tools. Pay Range: The hourly pay range for this position is $21.00 - $28.00 Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. In addition to competitive compensation, Ciena offers students access to the Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation pay as required by applicable laws. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

What you’ll do

Develop advanced analytics capabilities, including sentiment analysis and quality scoring for call analytics, project cost profiling, KPI outlier detection, and order plan forecasting. Collaborate with stakeholders and teams to design tools that support technical support, project management, executive decision-making, and product line planning.

Requirements

Applicants must be actively enrolled in an engineering, computer science, or similar degree program and have some formal learning in data science. They should demonstrate communication, problem-solving, analytical, organizational, and detail-oriented skills, work independently, meet deadlines, and be proficient in Microsoft Office; practical data science and analytics tool experience is preferred.

Benefits

• Employee Assistance Program
• Company-Paid Holidays
• Paid Sick Leave
• Vacation Pay

Listed skills

• Machine learning · Preferred
• Data analysis · Preferred
• Forecasting · Preferred
• Power BI · Preferred
• Data visualization · Preferred
• Problem solving · Preferred
• interpersonal communication · Preferred
• Attention to detail · Preferred
• Microsoft Excel · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Science
• Machine Learning
• Artificial Intelligence
• Advanced Analytics
• Sentiment Analysis
• Data Reporting
• Data Analysis
• Forecasting
• Outlier Detection
• Power BI
• Data Visualization
• Problem-Solving
• Analytical Skills
• Interpersonal Communication
• Attention to Detail
• Microsoft Excel
• Business Intelligence
• Management
• Computer Science
• Employee Assistance Programs
• Sales
• Leadership
• Innovation
• Interpersonal Communications
• Problem Solving
• Key Performance Indicators (KPIs)
• Project Management
• Microsoft Outlook
• Microsoft Office
• Operational Reporting
• Outliers
• Microsoft PowerPoint
• Product Lining
• Quality Scoring
• Detail Oriented

Job areas

• Data & Analytics
• Technology
• Software
• Engineering
• Business Intelligence and Analytics Intern
• Business Intelligence Analyst
• Management and Organization Analysts
• Business Intelligence Analysts
• Data Scientists

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