Senior Performance Marketing Analyst

Adore Me; New York (NY); Hybrid; USD 100,000 - 180,000; Full time

Job summary

Adore Me seeks a data-driven Digital Media Senior Performance Marketing Analyst to own measurement across paid media, linking spend to customer acquisition and long-term growth.

You will build dashboards, run incrementality tests, and partner with Marketing, Finance, and BI to improve investment decisions. On-site Tribeca 3 days a week in a hybrid setup.

Qualifications

• 3–5+ years in performance marketing analytics or similar field.
• Experience translating insights into media optimization recommendations.
• Cross-functional collaboration with Marketing, Finance, BI, or Data Eng.
• Advanced Google Analytics 4 and ads platform analytics.
• Strong SQL skills for large datasets.
• Experience with BigQuery or Snowflake.

Responsibilities

• Own end-to-end performance measurement across paid channels.
• Build daily, weekly, and monthly dashboards and executive reporting.
• Analyze channel, campaign, audience, and creative performance.
• Partner on budgeting, forecasting, scenario planning, and targets.
• Translate results into recommendations for media allocation and investment.
• Develop measurement frameworks with experimentation and MMM.

Skills

Performance analytics

SQL

BigQuery

GA4

Looker Studio

Power BI

A/B testing

Attribution modeling

Media optimization

Cross-functional collaboration

Education

Degree in Data Analytics

Tools

Adverity

BigQuery

Snowflake

Tableau

Job description

Adore Me, a subsidiary of Victoria’s Secret & Co. (NYSE: VSXY) since being acquired in December 2022, is seeking a data-driven, strategic Digital Media Senior Performance Marketing Analyst to own measurement and performance analytics across our paid marketing ecosystem. This role will establish the analytical foundation used to evaluate marketing effectiveness, optimize investment, and understand the incremental impact of paid media on customer acquisition and long‑term business growth.

You will connect platform performance, attribution, experimentation, customer lifetime value, and broader business performance to provide Marketing leadership with a clear and actionable view of where and how we should invest.

Responsibilities:

Performance Analytics & Executive Reporting:

• Own end‑to‑end performance measurement across paid channels, including Meta, Google, TikTok, Affiliate, and emerging platforms, maintaining clear visibility into spend, revenue, ROAS, CAC, new customer acquisition, and overall business impact.
• Build and maintain daily, weekly, and monthly dashboards, scorecards, and executive reporting for Marketing leadership and Finance.
• Deeply analyze channel, campaign, audience, and creative performance; identify drivers of growth and efficiency; and translate insights into clear recommendations for media allocation, optimization, and investment trade‑offs.
• Partner with Marketing and Finance on budgeting, forecasting, spend pacing, scenario planning, and monthly target setting, providing an analytical point of view on investment opportunities and risks.

Measurement Infrastructure & Data Quality:

• Define and maintain centralized paid media KPI definitions, measurement logic, and standardized reporting frameworks across Marketing, Analytics, and BI.
• Partner with Data Engineering and BI teams to ensure seamless data ingestion, including integrations such as Adverity into BigQuery, streamline onboarding of new channels and data sources, and continuously improve reporting infrastructure, data quality, and reliability.
• Identify gaps or inconsistencies in marketing data and reporting, and drive solutions that improve confidence, speed, and consistency in decision‑making.

Marketing Measurement, Attribution & Experimentation:

• Design, execute, document, and interpret incrementality tests, lift studies, A/B experiments, and custom experimentation frameworks across paid media channels.
• Synthesize incrementality testing, attribution models, GA4, platform‑reported performance, post‑purchase surveys, and internal customer and transaction data to develop a triangulated view of marketing effectiveness.
• Develop or support modern marketing measurement frameworks that combine experimentation, attribution, and Marketing Mix Modeling, clearly articulating the strengths, limitations, and appropriate use cases of each methodology.
• Translate measurement results into clear recommendations on channel effectiveness, marginal investment, scaling opportunities, and areas of diminishing return.

Customer & Cross‑Functional Insights:

• Analyze new customer acquisition quality, customer lifetime value, and channel contribution within our evolving business model.
• Develop analytical frameworks to evaluate customer acquisition beyond first‑order economics, including cohort quality, repeat behavior, retention, contribution margin, and LTV by acquisition source.
• Partner with CRM, Loyalty, and broader Marketing Analytics teams to connect customer acquisition, retention, and customer lifetime value.
• Translate complex analytical findings into clear, actionable recommendations for Marketing leadership and cross‑functional partners.
• Help establish a holistic view of customer growth by connecting media investment decisions to downstream customer value and long‑term business performance.

Qualifications:

• 3–5+ years of experience in performance marketing analytics, digital media analytics, marketing science, or a closely related field.
• Demonstrated experience translating analytical insights into media optimization and investment recommendations.
• Experience partnering cross‑functionally with Marketing, Finance, BI, Data Engineering, or related teams.
• Advanced experience with Google Analytics 4 and ad platform analytics, including Meta Ads Manager, Google Ads, and TikTok Ads.
• Advanced SQL skills, including the ability to independently query, join, transform, and analyze large‑scale customer, transaction, and marketing datasets.
• Proficiency working in cloud data warehouses such as BigQuery or Snowflake.
• Familiarity with data integration and marketing data pipelines, including platforms such as Adverity.
• Demonstrated hands‑on experience with BI and visualization tools such as Looker Studio, Tableau, or Power BI.
• Advanced Excel skills and strong quantitative problem‑solving capabilities.
• Strong expertise in designing and analyzing incrementality tests, lift studies, and A/B experiments.
• Proven experience interpreting Marketing Mix Models and understanding their role within a broader measurement framework.
• Strong understanding of attribution methodologies and the limitations of platform‑reported and multi‑touch attribution.
• Ability to integrate multiple measurement methodologies to develop a balanced, evidence‑based view of marketing effectiveness.
• Experience working within e‑commerce, retail, subscription, or digitally led consumer business models.
• Experience analyzing customer acquisition economics, cohort performance, retention, or lifetime value.
• Degree in Data Analytics, Statistics, Economics, Marketing, Business, or another quantitative field.
• Ability and willingness to work on‑site at our office in Tribeca 3 days per week.