Description
Senior Data Analyst Opportunity
The Senior Data Analyst will be responsible for unlocking analytics across the company through data lifecycle ownership, data tooling enablement, and outreach programs. The goal is to foster the safe usage of scalable data models for reporting and analytic consumption.
What you'll be doing
- Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering, and Program Management to develop scalable measurement strategies for data assets, products, and services
- Drive scalable, semantic data models that support stakeholders both inside and outside Auth0
- Educate data stakeholders about newly available objects and models that unlock product, revenue, sales, and business insights
- Build reusable data models that support key business concepts
- Deliver executive dashboards and product insights based on foundational productionalized data models
- Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
- Ensure data privacy and governance is a top priority throughout the data lifecycle
What you'll bring to the role
- 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
- 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
- 5+ years of SQL experience
- Strong understanding of data lifecycle management, including instrumentation, governance, modeling, and self-service interfaces
- Experience working within a Jira/Agile environment to manage and prioritize technical work
- Ability to build relationships with partners and stakeholders to understand product data needs and prioritize work accordingly
- Excellent business acumen and emotional intelligence in ambiguous environments
- BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable
Benefits
- Amazing Benefits
- Making Social Impact
- Fostering Diversity, Equity, Inclusion, and Belonging at Okta
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/okta/jobs/7780488