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Performance Marketing Data Analyst
Boudreaux's New Drug Store. Own measurement and optimization of OurView's paid advertising performance, emphasizing creative analytics .
Posted 10/27/2026full-timeLake Charles • Louisiana • United StatesMid-LevelSenior💰 $70,000 - $90,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in performance analytics and growth analytics, with a strong focus on optimizing paid advertising through data-driven insights. Proficient in building dashboards, conducting A/B tests, and collaborating with creative teams to enhance campaign effectiveness.
Highest-signal resume keywords
Performance AnalyticsSQL ProficiencyPaid-Media AnalyticsA/B Testing DesignDashboard Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Performance AnalyticsGrowth AnalyticsPaid-Media AnalyticsSQLA/B TestingCohort AnalysisAttributionConversion Rate OptimizationData InterpretationCreative Analysis
Soft Skills
CollaborationJudgmentCommunicationAnalytical ThinkingCreativity
Tools & Technologies
Meta Ads ManagerGoogle AdsGA4Looker StudioPower BITableauPythonR
Industry Keywords
CACCPAROASCustomer Lifetime ValueMarketing Mix ModelingDirect-Response MarketingEcommerceLead GenerationSubscription ModelsMulti-Brand Experience
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Own measurement and optimization of OurView's paid advertising performance, emphasizing creative analytics
- Analyze paid-media performance across campaigns, audiences, placements, and individual creatives
- Translate results into budget recommendations: what to scale, hold, reduce, refresh, or stop
- Evaluate creative performance by format, hook, message, offer, visual style, spokesperson, length, and other attributes
- Build and maintain a consistent creative taxonomy
- Develop dashboards and decision-ready reporting for spend, CAC/CPA, ROAS, conversion rate, CTR, CPM, frequency, and downstream customer value
- Identify creative fatigue, audience saturation, diminishing returns, and emerging winners
- Design a structured testing roadmap with hypotheses, test design, sample-size considerations, success criteria, and post-test recommendations
- Distinguish meaningful performance changes from noise
- Reconcile platform-reported results with first-party analytics and business outcomes; identify tracking or attribution gaps
- Partner with creative and agency teams to turn findings into briefs for new concepts and variants
- Create weekly performance readouts and concise leadership recommendations
- Improve marketing data quality, consistency, and automation
- In the first 15 days: understand the funnel, campaigns, creative workflow, measurement setup; audit data and establish a baseline
- In the first 30 days: implement a creative taxonomy and recurring scorecard; deliver weekly budget and creative recommendations; establish an experimentation roadmap
- In the first 60 days: improve winner identification and reduction of weak spend; build a feedback loop from data to creative briefs to tests; recommend attribution, infrastructure, and forecasting improvements
Requirements
What you’ll need- 3+ years in performance analytics, growth analytics, marketing science, paid-media analytics, or a closely related quantitative role
- Proven record of using data to improve paid-advertising efficiency or growth—not only producing reports
- Strong SQL and advanced spreadsheet skills
- Experience analyzing paid-social or paid-search data, ideally including Meta Ads and at least one additional major platform
- Working knowledge of CAC/CPA, ROAS, conversion funnels, attribution, incrementality, cohort analysis, and marginal returns
- Experience designing and interpreting A/B tests or other structured experiments
- Ability to build clear dashboards and communicate recommendations
- Strong judgment when data is incomplete, delayed, or affected by platform attribution limitations
- Ability to collaborate with creative professionals, media buyers, agencies, and company leadership
- Preferred: experience analyzing creative at the asset or attribute level, familiarity with Meta Ads Manager, Google Ads, GA4, Looker Studio, Power BI, Tableau, or similar platforms; Python or R; CRM, revenue, or customer-lifetime-value data; high-growth, direct-response, ecommerce, lead-generation, subscription, or multi-brand experience; marketing mix modeling, lift testing, or causal inference
- Resume submission must include a short note describing a paid-media or growth decision changed through analysis, the data method used, and the measurable result
- Work sample, sanitized dashboard, or case study encouraged if available
- Do not share confidential information from a current or former employer