Okendo

Analytics Engineer

Okendo

full-time

Posted on:

Location Type: Remote

Location: Australia

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Tech Stack

Amazon RedshiftCloudPandasPythonSQLTableau

About the role

  • Build and maintain feature marts for machine learning pipelines, working closely with our Data Scientist to ensure production-ready data models
  • Design and implement data transformations using DBT, creating reliable, well-documented data pipelines from multiple source systems
  • Create and manage datasets that enable self-service analytics across Product, GTM, and Customer Success teams
  • Develop dashboards and reports in QuickSight for key stakeholders, translating business questions into actionable insights
  • Perform ad-hoc analyses to support product and business decisions, moving quickly to answer critical questions
  • Ensure data quality and reliability through testing, documentation, and monitoring
  • Collaborate across teams to understand data needs and deliver solutions that scale

Requirements

  • 3-5 years of experience in analytics engineering, data engineering, or similar roles
  • Ability to work autonomously in a fast-paced, evolving environment
  • Strong communication skills: you can translate technical concepts for non-technical stakeholders
  • Strong SQL skills - you're comfortable writing complex queries, optimising performance, and working with large datasets
  • Experience with DBT (or similar transformation tools) - you understand data modeling best practices and can build maintainable transformation pipelines
  • Data visualisation experience - QuickSight preferred, but experience with other BI tools (Tableau, Looker, Power BI) is valuable
  • Python for data manipulation - pandas, basic scripting, data wrangling
  • Hands-on experience with Redshift, Athena, S3, or similar cloud data platforms
Benefits
  • Work remotely in the AU
  • 12 weeks of Paid Family Leave at 100%
  • Exposure to the most influential eCommerce brands globally
  • Office stipend setup
  • Opportunities for training + development
  • Data backed and competitive compensation strategy
  • 4 weeks of annual leave
  • 11 paid public holidays
  • Sick & carer’s leave
  • Compassionate & bereavement leave
Applicant Tracking System Keywords

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

Hard Skills & Tools
SQLDBTdata visualizationPythonpandasdata manipulationdata engineeringanalytics engineeringdata qualitydata transformations
Soft Skills
strong communication skillsautonomous workcollaborationproblem-solvingadaptability