Senior Data Analyst

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We''re all in on this mission. If you are too, let''s talk.

As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable insights that will shape our product strategy and drive business growth. This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis.

Responsibility :

• Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators.
• Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs.
• Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth.
• Write complex SQL queries and use Python to perform advanced data analysis
• Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions.
• Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data.
• Communicate your findings and recommendations effectively to both technical and non-technical audiences.

Qualifications:

• Proven experience as a Data Analyst or in a similar role, with a focus on product analytics.
• 3-5 years of experience.
• Expert-level proficiency in SQL.
• Strong experience with data visualization tools, particularly Tableau.
• Hands-on experience with cloud data warehouses like Snowflake and data transformation tools like dbt.
• Proficiency in Python for data analysis and scripting.
• A strong analytical mindset with the ability to think critically and solve complex problems.
• A proactive and curious mindset with a strong desire to learn and experiment with new technologies, especially in the realm of AI.
• Excellent communication and collaboration skills.

Added Advantage:

• Experience with other BI tools like Looker or Power BI.
• Experience with statistical analysis and machine learning.
• Familiarity with product analytics platforms like Amplitude or Mixpanel.