Data Analyst — Experimentation & Insights

TechDigital Group; San Antonio (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

TechDigital Group in San Antonio, TX is seeking a data analytics professional to design and analyze experiments that optimize member acquisition, engagement, and retention. You will apply advanced statistics, build predictive models, and translate insights into actionable business recommendations.

Responsibilities include collaborating with product and marketing, defining success metrics, and creating dashboards and presentations to clearly communicate findings.

Qualifications

• Strong expertise in statistical methodologies and experimental design.
• Experience leading end-to-end A/B testing programs.
• Proficiency in SQL, Python, or R.
• Experience supporting retention, loyalty, engagement, or lifecycle initiatives.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, implement, and evaluate A/B and multivariate experiments to optimize acquisition, engagement, and retention strategies.
• Apply advanced statistical methods including regression, hypothesis testing, predictive modeling, segmentation, and causal inference.
• Analyze large datasets to identify trends, opportunities, and key drivers of member behavior.
• Translate analytical insights into actionable business recommendations.
• Collaborate with product, marketing, and business stakeholders to define success metrics and measurement frameworks.
• Develop dashboards, reports, and presentations to communicate findings.

Skills

Statistical methods

Experimental design

Hypothesis testing

A/B testing

SQL

Python

R

Data analysis

Communication skills

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Job description

TechDigital Group in San Antonio, TX is seeking a data analytics professional to design and analyze experiments that optimize member acquisition, engagement, and retention. You will apply advanced statistics, build predictive models, and translate insights into actionable business recommendations.

Responsibilities include collaborating with product and marketing, defining success metrics, and creating dashboards and presentations to clearly communicate findings.