Чётко очерченная роль в аналитике в известной продуктовой компании в сфере кибербезопасности даёт самостоятельность, современные инструменты и влияние на решения; при этом небольшой состав команды может означать широкий поток задач.
Кликните для подробной информации
Небольшая командаСовременный стекВлияние на решенияКибербезопасность
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Analyst (Auth0) (SQL/DBT/Snowflake/Tableau): Building trusted analytics dashboards, data models, and measurement frameworks for Auth0's Developer Led Growth organization with an accent on cross-functional insights, experimentation, and AI-assisted analytics. Focus on analyzing A/B initiatives, translating developer and business data into actionable recommendations, and scaling reliable analytics through SQL, DBT, and AI tools.
Location: Hybrid role based in Chicago, Illinois; New York, New York; Seattle, Washington; or Washington, DC.
Salary: $114,000–$156,200 annual base salary for candidates located in California excluding the San Francisco Bay Area, Colorado, Illinois, New York, and Washington.
Company
Okta provides trusted identity infrastructure that secures access for organizations, including AI and human identities, with Auth0 supporting developer-focused authentication.
What you will do
Build and maintain Tableau dashboards, Snowflake Streamlit applications, and DBT models as the source of truth for the Developer Led Growth organization.
Translate cross-functional data into clear narratives and recommendations for product, marketing, sales, finance, and operations stakeholders.
Identify data gaps, discrepancies, and opportunities, and communicate findings that drive action.
Own analytics roadmap prioritization, scope requests, challenge unclear requirements, and make transparent tradeoffs.
Analyze A/B experiments and Developer Led Growth initiatives, and design robust measurement frameworks.
Automate and scale analytics processes using AI tools, custom SQL, creative approaches, and well-documented DBT models.
Requirements
5+ years of experience in data analytics.
Strong SQL and data modeling skills.
Experience with DBT, Snowflake, Tableau, and Git.
Ability to explain complex data findings to both non-technical executives and data engineers, write clearly, listen effectively, and push back when requirements are not properly scoped.
Experience prioritizing work in a high-demand environment, making reasoning transparent, and aligning stakeholders.
Creative analytical thinking focused on questioning the problem definition and finding unexpected insights.
Active daily use of AI tools, including LLM assistants, code tools, or automation, with the ability to explain their practical impact.
Nice to have
Experience with Python.
Developer-facing product experience.
Experience translating developer behavior into product insights.
Experience with A/B testing and experimentation design.
Experience with revenue modeling and forecasting.
Culture & Benefits
Work within a two-person data team with an experienced technical lead, autonomy, and input into prioritization.
Collaborate across Developer Relations, Developer Marketing, the Startup Program, Product Activation, and Conversion.
Hybrid work environment with an immersive in-person onboarding experience.
Benefits include equity where applicable, bonus, health, dental and vision insurance, 401(k), flexible spending account, PTO, and parental leave.
Access to well-being support, social impact programs, and talent development and community initiatives.
Hiring process
The role may involve automated employment decision tools using artificial intelligence, machine learning, or other automated processes in recruitment and hiring.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →