Lead Marketing Campaign Analytics, Data Science Consultant

. Lead measurement and optimization efforts for customer marketing campaigns .

Posted 10/6/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in marketing analytics, campaign measurement, and customer behavior analysis, utilizing advanced analytics and statistical techniques. Proficient in SQL, Python/R, and data visualization tools to deliver actionable insights and optimize marketing strategies.

Highest-signal resume keywords

Data Science ExperienceMarketing AnalyticsCampaign MeasurementSQL ProficiencyA/B Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesCustomer AnalyticsIncrementality MeasurementAttributionMarketing ROIAudience TargetingPerformance MeasurementData VisualizationProject Management

Soft Skills

Communication SkillsInterpersonal SkillsRelationship BuildingMentoring

Tools & Technologies

Power BIPythonRSQL

Industry Keywords

Customer Marketing CampaignsCampaign ObjectivesSuccess MetricsTesting and ExperimentationMarketing Strategy

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead measurement and optimization efforts for customer marketing campaigns
Partner with marketing stakeholders to define campaign objectives, success metrics, and measurement strategies
Develop and deliver in-flight and post-campaign analyses
Evaluate marketing tactics, channels, audience strategies, offers, and customer experiences through testing, experimentation, and performance measurement
Apply advanced analytics, statistical techniques, and data science methodologies to understand customer behavior and campaign effectiveness
Design and execute A/B testing, champion/challenger testing, and incrementality measurement frameworks
Translate complex analytical findings into business recommendations for marketing leaders and non-technical stakeholders
Analyze large-scale customer, campaign, digital engagement, and transactional datasets
Build reporting, dashboards, and measurement frameworks for campaign performance and marketing KPIs
Collaborate with Marketing, Strategy, Product, Finance, Risk, and Technology partners
Identify trends, customer insights, and optimization opportunities to influence marketing strategy
Mentor analysts and advance marketing analytics best practices, measurement standards, and analytic capabilities

Requirements

What you’ll need

5+ years of data science experience, or equivalent demonstrated through 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
5+ years of marketing analytics, campaign measurement, customer analytics, marketing science, or related analytical experience supporting marketing organizations
Experience measuring and optimizing customer acquisition, engagement, retention, or cross-sell marketing programs
Experience with campaign testing, incrementality measurement, attribution, marketing ROI, or audience targeting strategies
Proficiency in SQL, Python / R, and other programming languages
Proficiency in data visualization, preferably with Power BI
Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines
Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams
Not eligible for visa sponsorship
Willingness to work on-site at one of the stated locations
Must reside within a commutable distance of the posting location

Benefits

Comp & perks

Hybrid work schedule: three (3) days in office and two (2) days remote
Equal opportunity employment
Medical accommodation support during the application or interview process
Drug-free workplace