Position Details

Type Not Specified

Experience mid

Exp. Years Not specified

Education Bachelor's degree

Category Data & Analytics

About this role

This role involves analyzing product data to generate insights that inform product and engineering decisions, working closely with cross-functional teams.

Key Responsibilities

Drive data insights for product teams
Collaborate with cross-functional teams
Develop dashboards and metrics
Experiment with AI techniques
Translate data into actionable stories

Technical Overview

Utilizes data analysis tools like Python, SQL, Alteryx, and Amazon QuickSight to interpret complex data, develop metrics, and visualize insights.

Ideal Candidate

The ideal candidate is a mid-level data analyst with strong experience in Python, SQL, and data visualization tools like Amazon QuickSight. They are passionate about deriving insights from complex data sets and collaborating with cross-functional teams to influence product decisions.

Must-Have Skills

Bachelor's degreeKnowledge of data-focused technology tools

Nice-to-Have Skills

Experience with product and technical requirementsData analysis of complex dataMachine learningNatural language processingDeveloping metrics and dashboards

Tools & Platforms

PythonSQLAlteryxAmazon QuickSight

Required Skills

PythonSQLAlteryxAmazon QuickSightData analysisMachine learningNatural language processingData insightsMetricsDashboards

Hard Skills

PythonSQLAlteryxAmazon QuickSightData-focused technology tools

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingstorytelling

Industry & Role

Industry Technology

Job Function Data analysis and insights for product development

Role Subtype Data Analyst

Tech Domains Python, SQL, Amazon QuickSight

Keywords for Your Resume

Product Data AnalystPythonSQLAlteryxAmazon QuickSightData analysisMachine learningNatural language processingData insightsData-drivenMetricsDashboardsStorytellingCross-functional collaborationProduct & Engineering

Deal Breakers

Lack of Bachelor's degree, No experience with data-focused tools like Python or SQL, Inability to communicate insights effectively

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