Senior Product Analytics and Insights Lead

Gongio; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

Gong is seeking a Senior Product Analyst to translate data into actionable product strategies and dashboards. You will influence product decisions by presenting data-driven insights to product management and senior leadership, and you will build business cases for new features with measurable impact.

You will own dashboards and data sets, partner with product managers and engineers, and foster a culture of data quality and governance across the team.

Qualifications

• 5+ years of experience as a data or product analyst at a growing tech company.
• Degree in Industrial Engineering, Statistics, Economics or another quantitative field.
• Proven ability to surface key insights that drive business changes with measurable lift.

Responsibilities

• Influence data-driven insights to product management and senior leadership; present analyses and recommendations.
• Build business cases for new product functionality and track effectiveness over time.
• Lead deep-dive analyses to inform product strategy and roadmap decisions.
• Foster a data-centric culture with high-quality reporting and data governance.
• Own design, development and maintenance of dashboards and underlying data sets.
• Collaborate with product managers and engineers to ensure correct data is generated and collected.

Skills

Data analysis

Statistical analysis

SQL

Excel

Product analytics

Data storytelling

Dashboards

Creativity

Strategic thinking

Proactive

Education

Industrial Engineering / Statistics / Economics or quantitative field

Tools

Tableau

Looker

Job description

Gong is seeking a Senior Product Analyst to translate data into actionable product strategies and dashboards. You will influence product decisions by presenting data-driven insights to product management and senior leadership, and you will build business cases for new features with measurable impact.

You will own dashboards and data sets, partner with product managers and engineers, and foster a culture of data quality and governance across the team.