Digital Experimentation Analyst
Swoon, Fort Worth, TX, United States
Title:
Digital Experimentation Analyst Pay:
$50-$55 Type:
Hybrid Tuesday-Thursday / Fort Worth, Texas 76155 Duration:
3 months to start with potential extensions
Position Overview: This job is a member of the Digital Experimentation Team within the Digital Customer Experience Team This role is responsible for managing and delivering on the Digital Experimentation program.
Key Responsibilities: Establish best practices for measurement of experiments using statistical methods Help others design, analyze and communicate 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 spreading interest in a test and learn culture Identify opportunities for analysis and testing on the site that increase conversion or drive revenue improvement; use data to communicate recommendations to stakeholders; 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 Work with vendors and internal analytics implementation team to develop reporting strategies and ensure data is being collected properly and accurately Collaborate with developers to set up testing campaigns Define best practice approaches for a successful experimentation program Continued optimization/testing roadmap Partner with Product + UX Run experiments (2–3 weeks per test cycle) Analyze results and make recommendations
Qualifications: Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or related field Minimum 3 years of experience fully owning end to end AB testing 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: MS in Statistics, Applied Math, Computer Science, Economics, Engineering or related field Experience with marketing technology tools including Adobe Analytics and Adobe Target
Skills, Licenses & Certifications 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 to experiments Excellent interpersonal and communication skills, with the ability to tailor your approach to different audiences The ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way
Digital Experimentation Analyst Pay:
$50-$55 Type:
Hybrid Tuesday-Thursday / Fort Worth, Texas 76155 Duration:
3 months to start with potential extensions
Position Overview: This job is a member of the Digital Experimentation Team within the Digital Customer Experience Team This role is responsible for managing and delivering on the Digital Experimentation program.
Key Responsibilities: Establish best practices for measurement of experiments using statistical methods Help others design, analyze and communicate 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 spreading interest in a test and learn culture Identify opportunities for analysis and testing on the site that increase conversion or drive revenue improvement; use data to communicate recommendations to stakeholders; 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 Work with vendors and internal analytics implementation team to develop reporting strategies and ensure data is being collected properly and accurately Collaborate with developers to set up testing campaigns Define best practice approaches for a successful experimentation program Continued optimization/testing roadmap Partner with Product + UX Run experiments (2–3 weeks per test cycle) Analyze results and make recommendations
Qualifications: Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or related field Minimum 3 years of experience fully owning end to end AB testing 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: MS in Statistics, Applied Math, Computer Science, Economics, Engineering or related field Experience with marketing technology tools including Adobe Analytics and Adobe Target
Skills, Licenses & Certifications 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 to experiments Excellent interpersonal and communication skills, with the ability to tailor your approach to different audiences The ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way