Data Analyst

Title: Senior Data Analyst(SQL)

Location: Remote

Duration: 7 Months contract+

Skills:

SQL *** need strong experience

DBT

Python nice to have

Auth0/authentication nice to have

Tableau ++

Interview: Code signal + 2 rounds (30-45mins each)

Code screen SQL

Building and generating dashboards

Required both soft and tech skill required

More lean towards soft skills than tech skills.

Interacting with Stakeholder

Good communication skills

Duties:

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 Senior 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

Skills:

What you ll bring to the role

• 5+ years of experience in data management, data engineering, data analytics, product management or a similar background
• 5+ 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
• 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.)
• Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.)
• Paywall, subscription, or authentication-based products

Education: BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable