Description
CUJO AI® is a leader in artificial intelligence solutions for network service providers. We use machine learning and real-world data to develop cybersecurity, device intelligence, network intelligence, and parental control solutions that make internet connections safer for millions of homes.
About the Role
We are looking for a Senior Data Analyst (Analytics Engineering) to join our Data Platform team.
This is a hands-on, full-stack data role spanning data modeling, metric definition, analysis and visualization. You will build reliable, reusable datasets and metrics that teams across CUJO AI can use on their own, and you will answer business and product questions directly through analysis and reporting.
Working from the Data Platform team, you will help scale analytics practices across the company. For each problem, you will judge whether it needs a quick analysis, a dashboard, or a production-grade data model, and invest accordingly.
In This Role, You Will:
Partner with Product, Engineering and business teams to turn their questions into analyses, metrics and data models.
Deliver analysis and reporting: ad hoc deep dives, recurring KPI reports and dashboards.
Define, validate and document KPIs with stakeholders, and help teams use them consistently in planning and decisions.
Build and maintain tested, documented data models and ELT transformations together with the Data Platform team.
Create curated datasets, dashboards and templates that let teams answer their own questions.
Take metrics and models from first prototype through production and ongoing maintenance.
Streamline analytics practices across analysts in other teams: shared modeling conventions, metric definitions, code review, and onboarding and coaching.
Prioritize requests from multiple teams, balancing urgent needs with investments in reusable data assets.
Identify gaps in data, instrumentation or tooling, and work with engineering to close them.
Present findings clearly to technical