Digital Experimentation Analyst

PINNACLE GROUP (Pinnacle Technical Resources); Fort Worth (TX); Hybrid; USD 83,000 - 90,000; Full time

Job summary

PINNACLE GROUP (Pinnacle Technical Resources) is seeking a Digital Experimentation Analyst to manage the digital experimentation program, design and analyze A/B tests, and drive a test-and-learn culture within the Digital Customer Experience Team in Fort Worth, TX. The role requires Python/R, SQL, and experience with digital experimentation and Adobe tools.

This is a 9-month contract with a hybrid schedule (Tue–Thu in-office, Mon & Fri remote) and potential for collaboration with vendors and

Qualifications

• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or a related field.
• Proficiency in Python, R, or other relevant modern programming languages; SQL experience.
• Experience with digital experimentation and causal inference.
• Experience with Adobe products or similar testing tools.

Responsibilities

• Establish best practices for measurement of experiments using statistical methods.
• Assist others in designing, analyzing, and communicating the results of their experiments.
• Design, execute, and analyze A/B tests.
• Build a culture of experimentation by running successful tests, building partnerships with key stakeholders, and promoting a test-and-learn culture.
• Identify opportunities for analysis and testing on the site to increase conversion or drive revenue improvement.
• Use data to communicate recommendations to stakeholders and promote the adoption of a test-and-learn culture.
• Work with stakeholders to understand business needs and develop viable solutions.
• Ensure the experimentation program is scalable, repeatable, effective, and meets stakeholder expectations.
• Collaborate with vendors and internal analytics implementation teams to develop reporting strategies and ensure accurate data collection.
• Work with developers to set up testing campaigns.
• Define best practice approaches for a successful experimentation program.

Skills

Python

R

Digital experimentation

Causal inference

SQL

Education

Bachelor's degree

Master's degree

Tools

Adobe products

Adobe Analytics

Adobe Target

Databricks

Job description

Digital Experimentation Analyst
Professional(Other) | Professional(Other) Fort Worth , Texas Contract Sep 24, 2026

Position: Digital Experimentation Analyst/ Adobe Data Analytics
Location: Fort Worth, Texas
Duration: Contract
Job ID: 179950
Job Overview:
This position is part of the Digital Experimentation Team within the Digital Customer Experience Team. The Digital Experimentation Analyst will be responsible for managing and delivering the Digital Experimentation program. This role involves designing, executing, and analyzing A/B tests, establishing best practices for experiment measurement, and fostering a culture of experimentation within the organization. The position requires a hybrid work schedule (Tuesday-Thursday in-office, Monday and Friday virtual) and is a 9-month contract role with no opportunity for conversion at this time.

Responsibilities

• Establish best practices for measurement of experiments using statistical methods.
• Assist others in designing, analyzing, and communicating the results of their experiments.
• Design, execute, and analyze A/B tests.
• Build a culture of experimentation by running successful tests, building partnerships with key stakeholders, and promoting a test-and-learn culture.
• Identify opportunities for analysis and testing on the site to increase conversion or drive revenue improvement.
• Use data to communicate recommendations to stakeholders and promote the adoption of a test-and-learn culture.
• Work with stakeholders to understand business needs and develop viable solutions.
• Ensure the experimentation program is scalable, repeatable, effective, and meets stakeholder expectations.
• Collaborate with vendors and internal analytics implementation teams to develop reporting strategies and ensure accurate data collection.
• Work with developers to set up testing campaigns.
• Define best practice approaches for a successful experimentation program.

Qualifications

• Minimum Qualifications:
  • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or a related field.
  • Proficiency in Python, R, or other relevant modern programming languages.
  • Experience with digital experimentation and causal inference.
  • Experience with SQL.
  • Experience with Adobe products or similar testing tools.
• Preferred Qualifications:
  • Master's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or a related field.
  • Experience with marketing technology tools, including Adobe Analytics and Adobe Target.
  • Core technical skills, including experience with Databricks (preferred).
  • Ability to handle multiple responsibilities/projects on strict deadlines with minimal supervision.
  • Outstanding analytical thinking and problem-solving abilities.
  • Ability to translate business goals into experiments.
  • Excellent interpersonal and communication skills with the ability to tailor your approach to different audiences.
  • Ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way.

Pay Range: $60- $65/Hr

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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