Lead Test Design & Planning Consultant

. Consult on, design, and implement statistically robust testing strategies for marketing customer growth, engagement, and campaign performance .

Posted 10/6/2026full-timeUnited StatesSenior💰 $139,000 - $217,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical design of experiments and advanced analytics to drive marketing strategies and optimize performance. Proven ability to lead cross-functional teams, mentor peers, and translate complex data insights into actionable recommendations for stakeholders.

Highest-signal resume keywords

Data Science ExperienceStatistical Design Of ExperimentsProgramming Languages (SQL, Python, R, SAS)Data Visualization Tools (Excel, Tableau, Power BI)Project Management Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical Design Of ExperimentsAdvanced AnalyticsData ManipulationForecastingData InterpretationHypothesis TestingMarketing AnalyticsData EngineeringReturn On Marketing InvestmentLarge Datasets

Soft Skills

Leadership SkillsCollaborationEffective CommunicationMentoringAdaptability

Tools & Technologies

ExcelTableauPower BI

Industry Keywords

Marketing StrategiesCustomer GrowthCampaign PerformanceCompliance StandardsData-Driven Recommendations

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Consult on, design, and implement statistically robust testing strategies for marketing customer growth, engagement, and campaign performance
Partner with stakeholders to optimize testing approaches and improve efficiency across marketing initiatives
Plan and size marketing strategies with cross-functional stakeholders, aligning test design with business objectives and growth opportunities
Design, consult on, and execute test-and-learn experiments
Support monthly forecasting by estimating future performance using historical data, including return on marketing investment
Evaluate marketing levers and identify optimization opportunities
Develop and maintain a forward-looking learning agenda for continuous refinement of marketing strategies
Apply advanced analytics and programming to interpret data, solve complex problems, and inform business decisions
Lead large-scale, cross-functional planning for marketing initiatives using advanced analytical and statistical techniques
Generate actionable insights, trends, and recommendations
Provide guidance on data science best practices, methodologies, and tools
Lead projects and mentor teammates
Collaborate with peers, partners, and mid- to senior-level leaders on data-driven recommendations
Translate complex analyses into actionable insights for technical and non-technical audiences
Serve as a trusted advisor to stakeholders, including senior leadership
Ensure compliance with applicable legal, regulatory, and compliance standards

Requirements

What you’ll need

5+ years of data science experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
2+ years of experience in statistical design of experiments, analytics, or forecasting for marketing initiatives
Experience consulting on, analyzing, and delivering insights that drive business impact
Project management skills, including prioritizing and managing multiple projects, meeting deadlines, communicating effectively, collaborating across teams, and adapting to changing priorities
Leadership skills, including leading and influencing initiatives, guiding decision-making, identifying and escalating risks, driving solutions, and coordinating work across teams and stakeholders
Experience with Excel
Experience with programming languages such as SQL, Python, R, or SAS
Experience with large datasets, including data manipulation and engineering
Experience with data visualization tools such as Excel, Tableau, or Power BI
Experience with Design of Experiments / Hypothesis Testing using marketing data
Ability to travel 10% of the time
Must be able to work from one of the approved job posting locations three days in office and two days remote
This position is not eligible for Visa sponsorship

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Incentive opportunities may be available
Relocation assistance is not available