Senior Analytics Engineer, Data Platform (Hybrid)

CUJO AI®; Espoo; Hybrid; EUR 45,000 - 56,000; Full time

Benefits offered by this job

Flexible Work

Modern Equipment

Career Growth

Performance Bonuses

Referral Rewards

Meaningful Work

Job summary

CUJO AI® is seeking a Senior Data Analyst (Analytics Engineering) to join our Data Platform team. This hands-on role spans data modeling, metric definition, analysis and visualization, building reliable datasets and metrics for use across CUJO AI.

You will answer business questions through analysis and reporting and help scale analytics practices across the company. You will determine whether problems need quick analyses, dashboards, or production-grade data models, and invest accordingly,

Qualifications

• 5+ years in a data role (analytics engineer, data analyst, BI engineer or similar).
• Strong SQL and data modeling skills, and experience with large datasets.
• Hands-on experience implementing ETL/ELT pipelines and data transformations using SQL/dbt and Spark (PySpark), kept in version control (Git) with tests and code review.
• End-to-end understanding of how data flows from source events and ingestion, through warehouse models, to dashboards, and the ability to trace and fix issues upstream.
• Experience with a cloud data warehouse (Redshift or similar).
• Python for data processing, analysis and automation.
• Experience with BI tools and enabling self-service analytics.
• Ability to turn loosely defined business questions into clear analysis and actionable recommendations.
• Good judgment on when a quick answer is enough and when to build something durable.
• Experience working with multiple teams and stakeholders.
• Strong verbal and written communication skills in English.

Responsibilities

• 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 and non‑technical audiences.

Skills

SQL

Python

BI tools

Data modeling

ETL/ELT pipelines

Tools

dbt

Spark (PySpark)

Git

Redshift

Looker

Job description

CUJO AI® is seeking a Senior Data Analyst (Analytics Engineering) to join our Data Platform team. This hands-on role spans data modeling, metric definition, analysis and visualization, building reliable datasets and metrics for use across CUJO AI.

You will answer business questions through analysis and reporting and help scale analytics practices across the company. You will determine whether problems need quick analyses, dashboards, or production-grade data models, and invest accordingly,