Product Analyst

Easygenerator
Dubai, United Arab Emirates
Hybrid

Who this role is best for

Strong fit for candidates with B2B SaaS analytics experience who build AI-powered tools and translate ambiguous questions into structured analysis.

Best fit for

  • Candidates with B2B SaaS analytics experience and a track record of creating AI-driven workflows
    — “Scale analytics through AI-powered tools, including AI agents built on Snowflake and Claude-based workflows.”
  • Candidates who have experience in building dashboards and internal tools with Power BI and Streamlit
    — “Experience building dashboards and reports in Power BI, including data modeling and DAX.”
  • Candidates who have worked with Snowflake for querying, modeling, and analytics workflows
    — “Strong hands-on experience with Snowflake for querying, modeling, and analytics workflows.”

Things to consider

  • The role requires a high level of technical expertise with multiple data tools and platforms.
    — “Advanced SQL skills, including complex joins, window functions, and query optimization on large datasets.”
  • Candidates must be prepared to work closely with cross-functional teams on product decisions.
    — “Partner with Product, Engineering, and Business stakeholders to define metrics and success criteria.”

How to stand out

  • Demonstrate a history of translating vague business questions into clear analytical frameworks.
    — “Proven ability to turn ambiguous business questions into structured analysis and clear recommendations.”
  • Showcase your ability to communicate findings and influence product roadmaps.
    — “Validate or challenge product hypotheses with data to help shape the roadmap.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • runs deep dive analyses
  • tracks adoption and impact of product launches
Typical background
3+ years as a Product Analyst or similar

Skills & requirements

Required

SQLSnowflakePythonData AnalysisDashboard Building

Preferred

AI AgentsA/B TestingMarketing AnalyticsDimensional Modeling

Stack & domain

SQLSnowflakePythonPandasData WranglingScriptingPower BIDAXStreamlitSnowflake NotebooksClaudeProduct MetricsFunnelsCohort AnalysisUser Behavior DataData StorytellingData QualityOwnershipProblem-solvingAttention To DetailExperimentationA/B TestingMarketing AnalyticsRevenue AnalyticsAttribution ModelsDimensional ModelingModern Data Warehouse ConceptsStar/snowflake SchemasSemi-structured DataJSONData AnalysisSelf-service ReportingAi-powered ToolsAI AgentsClaude-based WorkflowsProduct HypothesesData-informed DecisionsRoot Cause AnalysesCommunicationStakeholder ManagementStructured AnalysisRecommendationsProduct AnalyticsBusiness AnalyticsE-learningB2B Saas

About the role

Original posting from Easygenerator via Ashby

ABOUT EASYGENERATOR

Join Easygenerator, a fast-growing e-learning scale-up, as a Product Analyst. You'll help Product, Engineering, and Business teams answer high-impact questions and make data-informed decisions.

WHAT YOU WILL BE DOING

  • Run deep dive analyses and root cause investigations into product and business metrics.
  • Build and maintain dashboards and self-service reporting.
  • Scale analytics through AI-powered tools, including AI agents built on Snowflake and Claude-based workflows.
  • Partner with Product, Engineering, and Business stakeholders to define metrics and success criteria.
  • Track adoption and impact of product launches.
  • Validate or challenge product hypotheses with data to help shape the roadmap.

WHAT YOU WILL BRING

  • 3+ years as a Product Analyst, Data Analyst, or similar, ideally in B2B SaaS.
  • Advanced SQL skills, including complex joins, window functions, and query optimization on large datasets.
  • Strong hands-on experience with Snowflake for querying, modeling, and analytics workflows.
  • Proficiency in Python for data analysis and automation (Pandas, data wrangling, scripting).
  • Experience building dashboards and reports in Power BI, including data modeling and DAX.
  • Experience building analytics apps or internal tools using Streamlit.
  • Proven ability to turn ambiguous business questions into structured analysis and clear recommendations.
  • Experience running root cause analyses and communicating findings to stakeholders.
  • Solid understanding of product metrics, funnels, cohort analysis, and user behavior data.
  • Strong data storytelling skills and a data quality mindset.
  • Ownership mindset, strong problem-solving abilities, and attention to detail.

NICE TO HAVE

  • Exposure to experimentation and A/B testing.
  • Experience building AI agents or automated analytics workflows on Snowflake (e.g. Cortex AI, Snowflake notebooks).
  • Experience using Claude or similar AI assistants for analytics work, including MD-based skills/prompts and agent workflows.
  • Experience with product analytics platforms such as Mixpanel or Segment.
  • Familiarity with marketing or revenue analytics and attribution models.
  • Experience with dimensional modeling and modern data warehouse concepts (star/snowflake schemas).
  • Experience working with semi-structured data (JSON).

Ready to Join Us?

If you're curious about the "why" behind the numbers and want to help teams make smarter decisions with data, we'd love to hear from you. Apply today!

Source: Easygenerator careers (Ashby)

Similar roles