Data Analyst (Auth0)

Okta; Ourense; Presencial; EUR 35.000 - 50.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Data Analyst to enhance analytics across various departments. This role involves developing data strategies, collaborating with teams, and leveraging data tools for insights, focusing on product usage and success metrics while ensuring data privacy and governance.

Servicios

Dynamic work environment

Tools and technology support

Social Impact initiatives

Formación

• 3+ years in data management or analytics.
• Hands-on with data visualization tools.
• 2+ years of SQL experience.

Responsabilidades

• Partner with teams to develop measurement strategies.
• Drive scalable, semantic data models.
• Educate stakeholders on new data models.

Conocimientos

Data Management

Data Engineering

Data Analytics

Data Visualization

SQL

Emotional Intelligence

Educación

BA or higher preferred

Herramientas

Tableau

Looker

PowerBI

Descripción del empleo

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

The Data Enablement Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.

The Data Analyst Opportunity

Reporting to the Senior Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.

In this dynamic role, you will partner with product, engineering and program management to ensure that our product is emitting signals that enable us to measure product entitlement, adoption and utilization. You will triangulate product and customer needs with a variety of measurement options to create a set of semantic models that represent product usage for any audience. You will then internally promote the ongoing model development through creative and engaging communications to our stakeholders.

An average week will find you planning measurement strategies with product leaders, reviewing engineering plans to capture critical data signals, developing data products that drive success metrics and creating documentation to ensure clarity, consistency and long-term usability. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights across the product unit.

What You’ll Be Doing

• Partner with peers in product, engineering and program management to develop scalable measurement strategies for our products and services
• Drive scalable, semantic data models that can reach stakeholders both inside of Auth0 and across the enterprise
• Educate and enlighten data stakeholders with newly available objects and models that will unlock product and business insights
• Form deep knowledge of a single product domain while exerting influence over other product domains
• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Incidents, Developers, Quality, etc.)
• Deliver executive dashboards and product insights based on foundational productionalized data models
• Partner with other analysts to create composite measures and insights that span the product unit
• Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

What You’ll Bring To The Role

• 3+ years of experience in data management, data engineering, data analytics, product management or a similar background
• 3+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI, etc)
• 2+ years of SQL experience
• Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
• Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation 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

And extra credit if you have experience in any of the following!

• Third party web analytics tools (Heap, Google Analytics, Adobe Analytics, etc.)
• Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
• Paywall, subscription or authentication based products

What you can look forward to as a Full-Time Okta employee!

• Making Social Impact
• Developing Talent and Fostering Connection + Community at Okta

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Computer and Network Security, Software Development, and IT Services and IT Consulting

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