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CUJO AI®

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-timeKaunas • LithuaniaSenior💰 €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. Proven ability to collaborate with cross-functional teams and mentor analysts while maintaining high standards for data quality and analytics practices.

Highest-signal resume keywords
SQLData ModelingETL/ELT PipelinesPython for Data ProcessingCloud Data Warehouse (Redshift)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData ModelingETL/ELT PipelinesPythonData Quality TestingAnalytics PracticesData TransformationsMetrics DefinitionData AnalysisDashboard Creation
Soft Skills
Strong Communication SkillsCollaborationGood JudgmentMentoringStakeholder Engagement
Tools & Technologies
DbtSpark (PySpark)GitBI ToolsAWS Data ServicesRedshiftLookerCubeAthenaGlue
Industry Keywords
Data AnalyticsData EngineeringSelf-Service AnalyticsMetrics-Layer ToolingTelemetry Data

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.