Data Analytics Engineer: A/B Testing & Insights

Danta Technologies

San Antonio (TX)

On-site

USD 90,000 - 140,000

Full time

5 days ago
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Benefits offered by this job

Healthcare insurance
Holidays
Paid sick leave

Job summary

Danta Technologies in San Antonio, TX is seeking a data‑driven analytics professional to design and evaluate A/B and multivariate experiments, optimize member acquisition, engagement, and retention, and translate insights into business actions.

You will use SQL, Python or R to analyze large datasets, build dashboards, and collaborate with product and marketing to define success metrics and measurement frameworks.

Qualifications

  • Strong expertise in statistical methodologies and experimental design.
  • Proven experience leading end-to-end A/B testing programs.
  • Proficiency in SQL, Python, R, or similar analytical tools.

Responsibilities

  • Design, implement, and evaluate A/B and multivariate experiments to optimize member acquisition, engagement, and retention strategies.
  • Apply advanced statistical methods including regression analysis, 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 and recommendations.

Skills

A/B testing
Statistical methods
Experiment design
SQL
Python
R
Data storytelling

Education

Bachelor's or Master's in a quantitative discipline

Tools

SQL
Python
R

Job description

Danta Technologies in San Antonio, TX is seeking a data‑driven analytics professional to design and evaluate A/B and multivariate experiments, optimize member acquisition, engagement, and retention, and translate insights into business actions.

You will use SQL, Python or R to analyze large datasets, build dashboards, and collaborate with product and marketing to define success metrics and measurement frameworks.

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