Product Analyst

Easygenerator

Product Analyst assisting Product, Engineering, and Business teams with data analyses and decision making. Building dashboards and reporting while validating product hypotheses with data

Posted 7/15/2026full-timeAlexandria • Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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

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Applicant Tracking System Keywords

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Hard Skills

SQLSnowflakePythonPower BIStreamlitData ModelingDAXRoot Cause AnalysisCohort AnalysisData Storytelling

Soft Skills

Problem-SolvingAttention to DetailOwnership Mindset

Tools & Technologies

AI AgentsAnalytics AppsExperimentation ToolsProduct Analytics PlatformsDimensional Modeling

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

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities