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-timeVilnius • LithuaniaSenior💰 €4,000 - €5,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL, data modeling, and ETL/ELT pipeline implementation, with a strong focus on delivering actionable insights through self-service analytics and effective communication with stakeholders. Proven ability to mentor analysts and establish shared metrics practices across teams while ensuring data quality and maintainability.

Highest-signal resume keywords

SQLData ModelingETL/ELT Pipeline ImplementationPython for Data ProcessingCloud Data Warehouse (Redshift)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingETL/ELTPythonData Quality TestingBI ToolsData TransformationsVersion Control (Git)Data AnalysisMetrics Definition

Soft Skills

Strong Communication SkillsGood JudgmentCollaborationMentoringCoaching

Tools & Technologies

DbtSpark (PySpark)AWS Data ServicesRedshiftLookerCubeAthenaGlueS3AI-Assisted Development Tools

Industry Keywords

Data AnalyticsBusiness IntelligenceData QualitySelf-Service AnalyticsMetrics LayerTelemetry DataNetwork DataProduct DataData ObservabilityStakeholder Engagement

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 in planning and decisions
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 in other teams through shared modeling conventions, metric definitions, code review, onboarding and coaching
Prioritize requests from multiple teams, 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, 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
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 (e.g. dbt Semantic Layer, Cube, Looker)
Experience with AWS data services (e.g. Athena, Glue, 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 to do your best work
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