Marketing Analyst - Network Optimization

Gen Digital Inc.; New York (NY); Vor Ort; USD 95.000 - 120.000; Vollzeit

Zusammenfassung

Gen Digital Inc. is seeking a Marketing Analyst – Network Optimization to drive marketplace performance through data-driven analysis and experimental design. The role sits at the intersection of marketing analytics, data science, product, and commercial strategy.

The ideal candidate will design tests, monitor live experiments, and deliver actionable readouts, translating business questions into hypotheses and guiding optimization decisions in a fast-paced environment.

Qualifikationen

• Bachelor’s degree in marketing analytics, statistics, economics, business, mathematics, computer science, or a related quantitative field.
• 1–3 years of experience in marketing analytics, product analytics, growth analytics, experimentation, revenue analytics, or a related discipline.
• Experience with A/B tests, holdout tests, campaign measurement, or other forms of controlled experimentation.
• Working knowledge of experimental design, including hypotheses, control and treatment groups, success metrics, guardrails, and power/sample-size concepts.
• Strong analytical skills and proficiency with SQL or Python, Excel, or a comparable data analysis tool.
• Ability to create clear reports, dashboards, presentations, and written test readouts.
• Strong attention to detail and ability to manage multiple concurrent workstreams.
• Clear written and verbal communication skills.

Aufgaben

• Conduct exploratory analysis to understand changes in customer behavior, traffic quality, offer engagement, and downstream outcomes.
• Monitor marketplace and funnel performance to identify optimization opportunities across customer experience, offer display, partner performance, and monetization.
• Support opportunity sizing and business-case development for proposed optimization initiatives.
• Partner with analytics and data science teams to improve measurement quality, data reliability, and experimentation velocity.
• Help develop repeatable processes for rapid testing, post-test analysis, and continuous optimization.
• Translate business opportunities and performance signals into clear hypotheses, test objectives, target populations, success metrics, and guardrail metrics.
• Help design A/B, holdout, multivariate, and other controlled experiments in partnership with Product, Engineering, Data Science, and business stakeholders.
• Coordinate test setup, launch readiness, audience splits, documentation, timelines, and stakeholder communication.
• Track execution from initial idea through implementation, launch, monitoring, analysis, and final recommendation.
• Work quickly and pragmatically while maintaining analytical rigor and attention to detail.

Kenntnisse

SQL

Python

Excel

Communication

Ausbildung

Bachelor’s degree in quantitative field

Tools

GrowthBook

Eppo

Optimizely

VWO

Looker

Tableau

Jobbeschreibung

About Gen

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

About Gen

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.
When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.
If this sounds like you, we’d love you to be part of Gen.

Role Overview

The Marketing Analyst – Network Optimization will use data and experimentation to uncover what drives marketplace performance, turning analysis into clear, actionable recommendations that shape the strategy, execution, and continuous improvement of tests. This role sits at the intersection of marketing analytics, data science, product, and commercial strategy.
The ideal candidate is comfortable working in a fast-paced environment, moving quickly from questions to analysis to action. At the core of the role: translating business questions into testable hypotheses, designing sound experiments, monitoring live tests, and delivering clear, data-driven readouts that inform optimization decisions — supported by day-to-day management of the test agenda.

Key Responsibilities

Marketplace and Marketing Analytics

• Conduct exploratory analysis to understand changes in customer behavior, traffic quality, offer engagement, and downstream outcomes.
• Monitor marketplace and funnel performance to identify optimization opportunities across customer experience, offer display, partner performance, and monetization.
• Support opportunity sizing and business-case development for proposed optimization initiatives.
• Partner with analytics and data science teams to improve measurement quality, data reliability, and experimentation velocity.
• Help develop repeatable processes for rapid testing, post-test analysis, and continuous optimization.

Test Design and Execution

• Support the development and maintenance of a prioritized test-and-learn agenda across network optimization, offer display, ranking, curation, pricing, eligibility, and related marketplace levers.
• Translate business opportunities and performance signals into clear hypotheses, test objectives, target populations, success metrics, and guardrail metrics.
• Help design A/B, holdout, multivariate, and other controlled experiments in partnership with Product, Engineering, Data Science, and business stakeholders.
• Coordinate test setup, launch readiness, audience splits, documentation, timelines, and stakeholder communication.
• Track execution from initial idea through implementation, launch, monitoring, analysis, and final recommendation.
• Work quickly and pragmatically while maintaining analytical rigor and attention to detail.

Test Readouts and Reporting

• Monitor live experiments and summarize performance across key funnel and marketplace metrics.
• Produce concise, decision-oriented test readouts covering methodology, results, limitations, learnings, and recommended next steps.
• Analyze metrics such as impressions, click-through rate, conversion, click-to-funded rate, revenue, revenue per lead, revenue per click, and partner or network efficiency.
• Identify meaningful changes, anomalies, and emerging opportunities that require investigation or follow-up testing.
• Build and maintain recurring reports, dashboards, and scorecards for the test pipeline, experiment status, and business impact.
• Communicate findings clearly to technical and non-technical audiences, including marketing, product, finance, operations, and leadership.

Test Agenda and Stakeholder Management

• Maintain a current view of the test pipeline, including proposed, approved, in-flight, completed, and follow-up experiments.
• Manage meeting materials, action items, owners, dependencies, decisions, and timelines for the test agenda.
• Help prioritize experiments based on expected impact, confidence, reach, effort, strategic importance, and learning value.
• Coordinate with partner teams to resolve blockers and keep experiments moving toward launch and readout.
• Maintain consistent standards for experiment documentation, naming, tracking, and knowledge sharing.
• Capture and distribute learnings so that successful approaches can be scaled and unsuccessful approaches can inform future tests.

Required Qualifications

• Bachelor’s degree in marketing analytics, statistics, economics, business, mathematics, computer science, or a related quantitative field.
• 1–3 years of experience in marketing analytics, product analytics, growth analytics, experimentation, revenue analytics, or a related discipline.
• Experience working with A/B tests, holdout tests, campaign measurement, or other forms of controlled experimentation.
• Working knowledge of experimental design, including hypotheses, control and treatment groups, success metrics, guardrails, and basic power or sample-size concepts.
• Strong analytical skills and proficiency with SQL or Python, Excel, or a comparable data analysis tool.
• Ability to create clear reports, dashboards, presentations, and written test readouts.
• Strong attention to detail and the ability to manage multiple concurrent workstreams.
• Ability to work effectively in a fast-paced, ambiguous, and cross-functional environment.
• Clear written and verbal communication skills.

Preferred Qualifications

• Experience with experimentation or reporting platforms such as GrowthBook, Eppo, Optimizely, VWO, Looker, Tableau, or similar tools.
• Familiarity with marketplace, lending, advertising, e-commerce, lead-generation, or other two-sided platform businesses.
• Exposure to funnel analysis, offer ranking, pricing, partner optimization, customer segmentation, or revenue optimization.
• Experience coordinating cross-functional projects or maintaining a structured test backlog.
• Experience presenting analytical findings and recommendations to business stakeholders.

What Success Looks Like

• Tests are well documented, launched on schedule, and aligned to clearly defined business questions.
• Stakeholders have an accurate, up-to-date view of the test agenda, status, owners, dependencies, and next steps.
• Test readouts are timely, accurate, and easy to understand.
• Reporting helps teams identify performance changes, prioritize opportunities, and make faster decisions.
• Experiment learnings are consistently shared and translated into follow-up actions or scalable optimization opportunities.
• The team increases test velocity while maintaining sound measurement and decision quality.

Working Style

• Moves quickly from insight to action without losing analytical discipline.
• Takes ownership, follows through, and proactively communicates risks or blockers.
• Enjoys learning in a dynamic environment with changing priorities.
• Balances speed, rigor, and practicality.
• Builds strong partnerships across marketing, product, data science, engineering, finance, and operations.

Compensation Range: $95K - $120K