Senior Data Analyst, Analytics Engineering

CUJO AI®

. Partner with Product, Engineering and business teams to turn questions into analyses, metrics and data models .

Posted 10/7/2026full-timeFinlandSenior💰 €4,000 - €5,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL, data modeling, and ETL/ELT pipeline implementation, with a strong focus on delivering actionable insights through data analysis and visualization. Proficient in collaborating with cross-functional teams to establish and maintain data quality standards and self-service analytics practices.

Highest-signal resume keywords

SQL Data ModelingETL/ELT Pipeline ImplementationCloud Data Warehouse ExperiencePython for Data ProcessingBI Tools for Self-Service Analytics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLData ModelingETLELTDbtSparkPythonData Quality TestingData TransformationMetrics Definition

Soft Skills

Strong Communication SkillsGood JudgmentCollaborationMentoringCoaching

Tools & Technologies

GitRedshiftAWS AthenaAWS GlueAWS S3LookerCubeDbt Semantic Layer

Industry Keywords

Data AnalyticsBusiness IntelligenceData QualitySelf-Service AnalyticsData Observability

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Partner with Product, Engineering and business teams to turn questions into analyses, metrics and data models
Deliver ad hoc deep dives, recurring KPI reports and dashboards
Define, validate and document KPIs with stakeholders and help teams use them consistently
Build and maintain tested, documented data models and ELT transformations with the Data Platform team
Create curated datasets, dashboards and templates for self-service analytics
Take metrics and models from prototype through production and ongoing maintenance
Streamline analytics practices across analysts through shared modeling conventions, metric definitions, code review, onboarding and coaching
Prioritize requests from multiple teams while balancing urgent needs with 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

Requirements

What you’ll need

5+ years in a data role (analytics engineer, data analyst, BI engineer or similar)
Strong SQL and data modeling skills, with experience with large datasets
Hands-on experience implementing ETL/ELT pipelines and data transformations using SQL, dbt and Spark (PySpark), with Git version control, tests and code review
End-to-end understanding of data flows from source events and ingestion through warehouse models to dashboards, including tracing and fixing 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 sufficient and when to build a durable solution
Experience working with multiple teams and stakeholders
Strong verbal and written communication skills in English
Experience rolling out shared metrics or analytics practices across several teams
Experience setting standards for or mentoring other analysts
Experience with data quality testing or observability tooling
Familiarity with metrics-layer or semantic-layer tooling, such as dbt Semantic Layer, Cube or Looker
Experience with AWS data services, such as Athena, Glue or S3
Effective use of AI-assisted development tools while keeping code and models maintainable
Experience with product, telemetry or network data

Benefits

Comp & perks

Flexible Work – Hybrid work model with flexible hours
Modern Equipment – Top-of-the-line development tools
Career Growth – Conferences, training, books, and anything else you need to keep developing
Performance Bonuses – Company-wide annual bonus program
Referral Rewards – Earn up to €1,000 for referring new hires
Meaningful Work – Help make the internet safer for millions of people around the world