Easygenerator

Senior Data Analyst

Easygenerator

Senior Data Analyst

Posted a day ago

Employment Type

Full Time

Location

Dubai

Experience

Senior

Benefits

VisaRelocation AllowanceMedical InsuranceAnnual Leave

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