Lead Data Analyst

Required Skills & Experience

• 5+ years of experience in product analytics, business intelligence, or a similar analytical role
• Advanced SQL skills with experience querying and analyzing large datasets
• Experience using Python or R for statistical analysis and data manipulation
• Experience working with BigQuery and dbt-based data models
• Ability to analyze user engagement, conversion, retention, churn risk, and lifetime value
• Experience applying statistical techniques such as logistic regression, survival analysis, clustering, and propensity modeling
• Strong knowledge of A/B testing, experimentation, and audience segmentation
• Experience developing curated datasets, standardized metrics, and semantic definitions
• Ability to translate business questions into structured data models and actionable insights
• Strong communication, presentation, and data-storytelling skills
• Ability to partner cross-functionally with product, engineering, marketing, advertising, and senior leadership team -Experience with digital behavioral data and event-based analytics platforms such as Google Analytics, Mixpanel, Amplitude, or Adobe Analytics.

Job Description

A client of Insight Global is seeking a Lead Data Analyst to help transform how its newsroom, product, marketing, and advertising teams use data to increase digital subscriptions and audience engagement. This individual will use SQL, statistical analysis, audience segmentation, and AI-enabled analytics to identify conversion, retention, churn, and lifetime-value opportunities.

The Lead Data Analyst will develop trusted datasets and audience segments for testing and personalization while enabling business stakeholders to explore data through conversational and self-service analytics tools. This role will work closely with product managers, engineering teams, senior leadership, and other business stakeholders to translate complex data into clear, actionable insights.