Product Analyst

Easygenerator

Product Analyst at Easygenerator, an e-learning scale-up, responsible for driving data-informed decisions. Collaborating with stakeholders and utilizing advanced analytics techniques to enhance product performance.

Posted 7/15/2026full-timeDubai • 🇦🇪 United Arab EmiratesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced analytical capabilities with a strong focus on SQL, Snowflake, and Python for data analysis and automation. Proven experience in building dashboards, conducting root cause analyses, and effectively communicating insights to stakeholders in a B2B SaaS environment.

Highest-signal resume keywords

Advanced SQL SkillsSnowflake Analytics WorkflowsPython Data AnalysisPower BI Dashboard DevelopmentRoot Cause Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

SQLSnowflakePythonPower BIStreamlitData ModelingDAXCohort AnalysisDimensional ModelingJSON

Soft Skills

Problem-SolvingAttention to DetailData StorytellingOwnership Mindset

Tools & Technologies

AI AgentsAnalytics AppsMixpanelSegmentClaude

Industry Keywords

B2B SaaSProduct MetricsUser Behavior DataMarketing AnalyticsRevenue Analytics

Tech Stack

Tools & technologies

PandasPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

Work from home options
Professional development opportunities