Data Scientist & Retention Analyst

Insight Global; Arlington (TX); On-site; USD 90,000 - 140,000; Full time

Job summary

Insight Global is seeking a Data Scientist for Visitation & Retention to analyze passholder and membership behavior, forecast churn, and measure lifecycle campaigns.

This role focuses on turning guest data into measurable retention strategies and will build dashboards, KPIs, and insights to guide CRM, pricing, and park execution.

Qualifications

• Experience as a Data Scientist or similar analytics role.
• Strong predictive modeling for churn, retention, segmentation, and CLV.
• Advanced proficiency in SQL for large datasets.
• Experience with Python or R for stats and ML.
• Experience analyzing customer behavior, loyalty programs, or passholder data.
• Proven ability to develop retention forecasting and churn-risk models.
• Experience measuring marketing campaigns and loyalty initiatives.
• Knowledge of customer lifecycle analytics across acquisition, engagement, renewal, retention, churn.
• Experience creating dashboards and KPI reporting with BI tools.
• Ability to translate findings into business actions and KPIs.
• Experience partnering with stakeholders to define metrics.

Responsibilities

• Develop churn-risk models and retention forecasting for passholders and members.
• Analyze visitation patterns by customer type, lifecycle stage, product, tenure, and engagement behavior.
• Measure the effectiveness of Pass Perks, membership benefits, renewal offers, and targeted lifecycle campaigns.
• Partner with Membership Manager and Visitation & Retention leadership to prioritize analytics needs and build KPIs.
• Quantify the revenue and visitation impact of retention, loyalty, collections, and engagement initiatives.
• Build dashboards and recurring reporting on active base, churn, renewal rates, collections, perk usage, and customer behavior.
• Translate insights into actions for CRM, pricing, benefit design, and park execution.

Skills

Data scientist

Retention analytics

Marketing analytics

Customer analytics

Predictive modeling

Churn

Segmentation

CLV

SQL

Python

R

Tableau

Power BI

Looker

Dashboards

Stakeholder collaboration

Lifecycle analytics

Regression

Forecasting

Tools

SQL

Python

R

Tableau

Power BI

Looker

Job description

Job Description

Insight Global is looking for a Data Scientist for Visitation & Retention will focus on passholder and membership behavior, retention forecasting, churn risk identification, perk effectiveness, lifecycle campaign measurement, and customer lifetime value. This role provides analytical support to the Visitation & Retention function and helps turn guest behavior data into measurable retention and visitation strategies.

Key responsibilities

• Develop churn-risk models and retention forecasting for passholders and members.
• Analyze visitation patterns by customer type, lifecycle stage, product, tenure, and engagement behavior.
• Measure the effectiveness of Pass Perks, membership benefits, renewal offers, and targeted lifecycle campaigns.
• Partner with Membership Manager and Visitation & Retention leadership to prioritize analytics needs and build KPIs.
• Quantify the revenue and visitation impact of retention, loyalty, collections, and engagement initiatives.
• Build dashboards and recurring reporting on active base, churn, renewal rates, collections, perk usage, and customer behavior.
• Translate insights into actions for CRM, pricing, benefit design, and park execution.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• -Experience as a Data Scientist, Customer Analytics Analyst, Retention Analyst, Marketing Analyst, or similar analytics role.
• -Strong experience building predictive models for churn, retention, customer segmentation, and customer lifetime value (CLV).
• -Advanced proficiency in SQL for querying and analyzing large customer datasets.
• -Strong experience with Python or R for statistical analysis, forecasting, and machine learning model development.
• -Experience analyzing customer behavior, loyalty programs, subscriptions, memberships, or passholder data.
• -Proven ability to develop and maintain retention forecasting and churn-risk models.
• -Experience measuring the effectiveness of marketing campaigns, promotions, offers, customer engagement initiatives, or loyalty programs.
• -Strong knowledge of customer lifecycle analytics, including acquisition, engagement, renewal, retention, and churn.
• -Experience creating dashboards and KPI reporting using Tableau, Power BI, Looker, or similar BI tools.
• Ability to translate complex analytical findings into business recommendations and actionable retention strategies.
• Experience partnering with business stakeholders to define metrics, KPIs, and success measurements.
• Strong understanding of statistical methods such as regression analysis, forecasting, hypothesis testing, and segmentation.