Easygenerator

Senior Data Analyst

Easygenerator

Posted 2 months ago

Employment Type

Full Time

Location

Dubai

Job Listing No Longer Available

This job posting is no longer accepting applications. It may be more than 30 days old or the position has been filled.

Requirements

5-7 years, Advanced SQL, Tableau/Power BI, Domo, Python (Pandas), Snowflake, A/B testing, Metrics ownership

Job Description

Responsibilities

  • Partner with Product, Growth and Leadership to answer key business questions using data
  • Build and maintain dashboards and metric definitions (Tableau, Power BI, Domo)
  • Write efficient SQL to extract and analyse large datasets (Snowflake)
  • Conduct deep-dive analyses to identify opportunities and inform prioritisation
  • Collaborate with Data Engineering to ensure data quality and pipeline reliability
  • Support experimentation: define success metrics, set guardrails and analyse test outcomes
  • Mentor junior analysts and promote best practices in analytics and storytelling

Requirements

  • 5-7 years
  • Advanced SQL
  • Tableau/Power BI
  • Domo
  • Python (Pandas)
  • Snowflake
  • A/B testing
  • Metrics ownership
  • Strong communicator
  • Degree (quantitative)

Preferred Qualifications

  • B2B SaaS or EdTech experience
  • Familiarity with Mixpanel
  • Experience with experimentation frameworks
  • Predictive analytics or ML exposure
  • Data modelling & pipeline understanding

Benefits

  • Competitive pay
  • Visa support
  • Relocation assistance
  • Medical insurance
  • Annual leave and paid leave
  • Collaborative, mission-driven culture
  • Training on AI-first ways of working and access to latest AI tools

About the Company

Easygenerator is a Dutch EdTech scale-up headquartered in Dubai, on a mission to revolutionise learning with its award-winning authoring tool. Trusted by global organisations such as Kellogg’s, T-Mobile and Siemens, Easygenerator is an AI-first company that applies modern AI technologies across product and operations. The Product & Data team drives product strategy, growth and customer success through data-informed decisions and experimentation.

How to Apply

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