Okta for Developers · 2 months ago
Strategic Analytics Lead, Corporate FP&A
Okta is The World’s Identity Company, focused on providing secure access and automation through its flexible products. The Strategic Analytics Lead will partner with finance and business leaders to transform complex challenges into data-driven insights, utilizing advanced analytics to support financial forecasting and decision-making.
Computer Software
Responsibilities
Design, build, and deploy statistical and machine learning models for key financial forecasts and analysis, including revenue, annual contract value (ACV), customer retention, operating expenses, and cash flow, to improve accuracy and provide proactive insights
As a core member of the Corporate FP&A team, prepare, review, and enhance key financial forecasts as part of quarterly, annual, and long-range planning
Conduct in-depth analyses to uncover the underlying drivers of business performance, profitability, and variance against plans
Act as the team's subject matter expert on generative AI and other emerging technologies. Research, prototype, and implement innovative solutions (e.g., using LLMs for variance commentary, creating AI-powered analytical assistants) to enhance the efficiency and impact of the FP&A function
Partner directly with senior leaders to understand their strategic questions and take ambiguous problems, frame them into analytical projects, execute the analysis, and deliver clear, concise recommendations
Present complex analytical findings in a simple and compelling way to diverse audiences, from C-suite executives to operational managers
Collaborate with data engineering and IT teams to improve data accessibility, quality
Qualification
Required
Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Finance, Economics, or a related discipline
6+ years of hands-on experience in a data science or analytics role with a proven track record of delivering impactful business results
Fluency in SQL and one or more analytical tools/languages like Python or R
Experience with Machine Learning applications and enterprise data warehouses such as Databricks, Snowflake, etc
Exceptional business acumen and a natural ability to connect data insights to financial outcomes and strategic objectives
A high degree of comfort with ambiguity and creating structure and analytical frameworks for open-ended problems
Preferred
Experience working directly within or closely partnering with an FP&A, corporate finance, or strategy team
Financial modeling and analysis skills
Demonstrated AI related work or project experience that illustrate both identifying a core problem to be solved and documenting how modern tools were applied to solve it
Experience answering business questions through both data engineering (e.g., Pandas, Python, SQL) and applying data analytic techniques (e.g., regression, clustering)
Experience creating compelling data visualizations and dashboards using tools like Tableau
Excellent communication and presentation skills, with prior experience communicating and building relationships with stakeholders
MBA or CPA a plus
Benefits
Health, dental and vision insurance
401(k)
Flexible spending account
Paid leave (including PTO and parental leave)
Company
Okta for Developers
Resources for developers using Okta’s Identity services: Okta's Customer Identity Cloud (aka Auth0 by Okta or CIC) and Workforce Identity Cloud (WIC).
Funding
Current Stage
Late StageCompany data provided by crunchbase