Customer Analytics Analyst

Insight Global; Arlington (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Insight Global in Arlington, TX is seeking a Visitation & Retention Analyst to turn guest behavior data into measurable retention and visitation strategies. You will focus on passholder and membership behavior, retention forecasting, churn risk identification, and lifecycle campaign measurement.

This role partners with the Membership Manager and Visitation & Retention leadership to define metrics, build KPIs, and deliver dashboards that drive CRM, pricing, and park execution.

Qualifications

• Experience building predictive models for churn, retention, and CLV.
• Advanced SQL for analyzing large customer datasets.
• Proficiency in Python or R for stats and ML.
• Experience with lifecycle analytics (acquisition to churn).
• Experience creating dashboards with Tableau, Power BI, or Looker.
• Ability to translate analytics into actionable retention strategies.
• Collaborates with stakeholders to define metrics and KPIs.

Responsibilities

• Develop churn-risk models and retention forecasting for passholders and members.
• Analyze visitation patterns by customer type and lifecycle stage.
• Measure the effectiveness of Pass Perks and membership benefits.
• Partner with Membership Manager and leadership to prioritize analytics needs.
• Quantify revenue and visitation impact of retention initiatives.
• Build dashboards and recurring reporting on active base, churn, renewal, perks usage.

Skills

Predictive modeling

Churn analysis

Customer segmentation

CLV modeling

SQL

Python or R

BI dashboards

KPI reporting

Lifecycle analytics

Stakeholder teamwork

Statistics methods

Tools

Tableau

Power BI

Looker

Job description

Duration: Direct Hire

Location: Arlington, TX (Onsite 4 days/week)

REQUIRED SKILLS AND EXPERIENCE

• 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.

Insight Global is looking for a Visitation & Retention Analyst that 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.