Job Description

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

Reporting to the People Analytics Manager, we are seeking a highly skilled Senior Data Analyst to join our dynamic People & Culture team. In this role, you will play a pivotal part in migrating data from multiple source systems into our Snowflake data lake, establishing it as the single source of truth for advanced analytics. You will design and develop robust data models that will serve as the foundation for enterprise dashboards, KPIs, machine learning, and more.

Partnering closely with stakeholders, you will translate business requirements into tailored analytics solutions and deliver clear, actionable insights that empower better decision-making. Beyond core reporting, you will contribute to the development of machine learning pipelines to build predictive, diagnostic, and scenario-based ("what-if") models — expanding our ability to anticipate trends, uncover drivers, and optimize workforce strategies.

Key Responsibilities:

• Develop a deep understanding of the business context, challenges, and objectives to ensure analytics align with organizational priorities.
• Become a strategic voice that leverages data insights to influence decision-making and drive impactful outcomes.
• Work with the data integration team moving data from source systems to our data lake (Snowflake), ensuring data privacy, integrity, and consistency.
• Understand fundamental database concepts such as dimensional modelling, relational database architecture, and more.
• Design data models that transform raw data into insightful information by understanding business requirements in the context of BI and AI.
• Develop Power BI dashboards, KPI scorecards, visual reports, and Gen-AI insights.
• Establish row-level security on data and our data application’s security layer models.
• Collaborate with various teams across the organization to understand their data needs and deliver actionable insights.
• Advocate for data best practices, fostering a data-driven culture within the organization.
• Ability to distill complex data sets into compelling narratives and strategic recommendations.

The Must Haves:

• Bachelor's degree in Computer Science, Business, Human Resources, or a related field.
• Strong technical skills with experience in data modelling, and visualization/dashboard development.
• Proficiency in SQL, Python, DAX, or similar.
• Proficiency in Power BI, Dataiku, or similar.
• Excellent data analysis skills, with the ability to transform complex data into actionable insights.
• Strong communication skills, with the ability to effectively collaborate with various teams, stakeholders.
• Demonstrated ability to understand business processes and the role of data in supporting strategic objectives.

Assets:

• Proven experience in business analytics, particularly within the HR domain.
• Experience with data warehousing/data lakes, preferably Snowflake/SQL server.
• Strong data architecture knowledge, with familiarity in handling structured, semi-structured, and unstructured data.
• Excellent problem-solving skills, with the ability to address business challenges creatively and efficiently.
• Expert in data storytelling with the ability to provide insightful advice and recommended data-driven decisions.

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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.