Senior Data Analyst

Tek Ninjas; Texas; Remote; USD 80,000 - 110,000; Full time

Job summary

Join a forward-thinking company as a Data Analyst, where you will unlock analytics and insights across the organization. In this fully remote role, you will partner with product and engineering teams to develop scalable measurement strategies and create semantic data models that empower stakeholders. Your expertise in data management and visualization tools will be key in delivering executive dashboards and insights. If you are passionate about data and thrive in a collaborative environment, this position offers the opportunity to make a significant impact on product and business insights.

Qualifications

• 5+ years of experience in data management or analytics.
• Hands-on experience with data visualization tools like Tableau or PowerBI.
• Strong understanding of data lifecycle management.

Responsibilities

• Develop scalable measurement strategies for products and services.
• Drive semantic data models for stakeholder insights.
• Ensure data privacy and governance throughout the data lifecycle.

Skills

Data Management

Data Engineering

Data Analytics

Product Management

SQL

Data Visualization (Tableau, Looker, PowerBI)

Data Lifecycle Management

Stakeholder Management

Education

Bachelor's Degree or Higher

Tools

Tableau

Looker

PowerBI

Google Analytics

Snowflake

Big Query

Databricks

Job description

100% remote (ideally someone in Toronto area)

Duties :

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. Within the Data organization, the Data Enablement team is chartered by 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.

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 are a first priority at all stages of the data lifecycle

Soft skills and EQ are critical to this role. Key words to highlight on the resume: in meetings, presenting, or frequent interfacing with stakeholders. Candidates need to be confident working with stakeholders, challenging or pushing back on recommendations, managing or prioritizing conflicting priorities.

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

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, Big Query, Databricks, etc.)
• Wall, subscription, or authentication-based products

Education :

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