Lead Data Analyst — Hybrid, Big-Data & Network Insights

CUJO; Finland; Hybrid; EUR 50,000 - 56,000; Full time

Benefits offered by this job

Flexible hybrid work

Modern development tools

Career growth

Performance bonuses

Referral rewards

Meaningful work

Job summary

CUJO AI in Finland is seeking a Lead Data Analyst to drive data-driven decisions across Digital Life services. You will design big-data reports, analyze network data, and deploy changes to customers while collaborating with engineering and QA teams.

You’ll mentor teammates, advance analytics processes, and influence product design with insights. A hybrid role offering flexible hours and modern tools to help protect users worldwide.

Qualifications

• Proven experience in data analysis with Python/SQL.
• Excellent communication and stakeholder collaboration.
• Automation-minded with focus on reducing manual work.
• Familiarity with big-data analysis and large datasets.
• Hands-on in deploying changes to systems.
• Strong reporting and presentation skills.
• Familiarity with modern AI tools to support work.
• Ability to multitask, prioritize, and manage time.

Responsibilities

• Design and create big data-driven reports, queries, and dashboards.
• Collect and analyze network data to provide insights on trends and threats.
• Execute change deployments to customers with high quality rollouts.
• Collaborate with Quality and Software Engineers to improve tooling and services.
• Perform research to solve problems and drive continuous improvement.
• Collaborate with CUJO AI leadership to improve analytics processes.
• Impact product design decisions with data insights.

Skills

Python

SQL

Big-data analysis

Mentoring

Automation

Communication

Tools

AWS

CI/CD

Job description

CUJO AI in Finland is seeking a Lead Data Analyst to drive data-driven decisions across Digital Life services. You will design big-data reports, analyze network data, and deploy changes to customers while collaborating with engineering and QA teams.

You’ll mentor teammates, advance analytics processes, and influence product design with insights. A hybrid role offering flexible hours and modern tools to help protect users worldwide.