Bachelor's degree in a quantitative field such as marketing analytics, statistics, or computer science.
1-3 years of experience in marketing or product analytics, focusing on experimentation and revenue analytics.
Familiarity with A/B testing and controlled experimentation methodologies.
Proficient in SQL or Python, Excel, or similar data analysis tools.
Strong analytical skills with attention to detail and ability to manage multiple projects.
Excellent written and verbal communication skills, capable of conveying complex data insights clearly.
Responsibilities
Conduct exploratory analysis to identify changes in customer behavior and performance metrics.
Monitor marketplace performance to pinpoint optimization opportunities.
Support business-case development for proposed initiatives.
Collaborate with analytics teams to enhance data measurement and experimentation processes.
Develop and maintain a prioritized test-and-learn agenda for various marketplace levers.
Design and coordinate controlled experiments in partnership with cross-functional teams.
Track the execution of tests from conception to analysis and recommendations.
Benefits
Opportunity to work at the intersection of marketing analytics and data science.
Dynamic, fast-paced work environment with evolving priorities.
Collaboration with cross-functional teams including product, engineering, and finance.
Focus on continuous improvement and optimization through data-driven insights.
Full Job Description
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.
About Avast
Avast is a cybersecurity company that develops and markets security software for personal computers and mobile devices. The company's products include antivirus software, VPN services, and password management tools. Avast has over 435 million active users worldwide and is headquartered in London, England. The company was founded in 1988 and has offices in the Czech Republic, the United States, and other countries.
