Sobre esta vaga de FP&A Analyst – Financial Planning & Analysis (AI & Automation Focus) na Ciena
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.
This role supports the evolution of the finance function into a data-driven, insight-led, and increasingly automated organization. The position integrates financial planning and analysis with advanced analytics, automation, and AI-enabled forecasting to improve decision-making, speed, and accuracy at Ciena. The role contributes to modernization of forecasting processes and delivery of scalable financial insights.
How you will make an impact:
Deliver forecasting, budgeting, and rolling forecast processes using data-driven and automated approaches
Analyze financial performance, variance, and drivers to generate actionable insights for business decision-making
Develop driver-based financial models and predictive forecasting models
Build dashboards and business intelligence reporting using Power BI, Tableau, or similar tools
Automate financial reporting, data workflows, and recurring processes to improve speed and accuracy
Apply advanced analytics and machine learning techniques to improve forecast accuracy and trend analysis
Leverage AI tools (e.g., M365 Copilot) to generate financial insights, reporting narratives, and summaries
The must haves:
Education: Bachelor OR Master degree in Finance, Accounting, Business, Data Analytics, OR related field
Experience: 2+ years of FP&A, financial analysis, OR financial data analytics experience
Experience with forecasting, financial modeling, variance analysis, and performance reporting
Advanced Excel skills and experience with data analysis and financial modeling
Experience with business intelligence tools (Power BI, Tableau, or similar)
Experience working with financial systems or data platforms (ERP, Anaplan, Snowflake)
Ability to analyze data, identify trends, and translate outputs into business insights
Nice to haves:
Certifications: CPA or CMA in progress or completed
Experience with planning tools (Anaplan, Hyperion, or similar)
Experience with data platforms, SQL, or Snowflake
Experience with Python, R, or other data analysis and automation tools
Exposure to machine learning, predictive modeling, or time-series forecasting
Experience building automated data pipelines or ETL workflows
Pay Range: USD 68,300.00 - 109,100.00
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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.
Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence.
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.
