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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Growth Analytics and Marketing Analytics, utilizing advanced SQL and AI tools for data extraction, analysis, and visualization. Capable of translating complex data insights into actionable recommendations while effectively communicating with stakeholders.
Highest-signal resume keywords
Advanced SQL SkillsData Visualization ToolsAI Tools for Data AnalysisConversion Funnel AnalysisAttribution Models Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisGrowth AnalyticsMarketing AnalyticsAdvanced SQLGA4Data VisualizationPythonRMeasurement MethodologiesMobile Attribution Tools
Soft Skills
Strong Communication SkillsOrganizedProactiveCritical JudgmentAnalytical Partnering
Tools & Technologies
Looker StudioTableauPower BIBigQueryAdjustAppsFlyer
Industry Keywords
E-commerceMarketplacesCausal InferenceIncrementality TestingConversion Metrics
Tech Stack
Tools & technologiesBigQueryPythonSQLTableau
About the role
Key responsibilities & impact- Develop performance analyses for paid, CRM, and organic channels, connecting user behavior to business objectives.
- Investigate optimization opportunities across the architecture of brands, portals, and products.
- Use AI tools to accelerate data exploration, hypothesis generation, and query development, applying critical judgment to the final output.
- Analyze the impact and synergy among Paid Media, Organic, CRM, Direct/web, and app channels throughout the conversion and retention funnel.
- Support the team in designing and monitoring A/B tests, holdouts, and regional tests.
- Participate in discussions about attribution and measurement models.
- Act as an analytical partner to Marketing and Growth teams, challenging assumptions with data and recommending evidence-based approaches.
- Translate complex data and analyses into clear reports and recommendations for team and leadership decision-making.
- Track campaign KPIs, collaborate on metric alignment, and support the quality and consistency of reported data.
Requirements
What you’ll need- Solid experience as a data analyst in Growth Analytics, Marketing Analytics, or related fields.
- Ability to go beyond the obvious in analyses, seeking to understand cause-and-effect relationships in consumer behavior and revenue.
- Practical fluency in using AI tools to improve productivity in analyses and queries, with a critical eye for identifying errors or hallucinations.
- Advanced SQL skills for data extraction and manipulation in environments such as BigQuery or similar platforms.
- Advanced knowledge of GA4.
- Solid experience with data visualization tools such as Looker Studio, Tableau, Power BI, or similar.
- Strong understanding of conversion funnels, media metrics, cohorts, retention, and the fundamentals of attribution models.
- Strong communication skills to explain technical insights simply and directly to stakeholders.
- Organized and proactive, with the ability to prioritize tasks in a dynamic environment.
- Previous experience with marketplaces, e-commerce, classifieds, or ecosystems involving multiple brands and products.
- Practical or conceptual knowledge of advanced measurement methodologies, including MMM, incrementality testing, and causal inference.
- Basic knowledge of Python or R for data analysis or automation.
- Experience with mobile attribution tools, such as MMPs like Adjust or AppsFlyer.
Benefits
Comp & perks- Market-competitive compensation
- Health insurance
- Dental insurance
- Private pension plan
- Flexible benefits tailored to your needs
- Meal allowance
- Financial counseling
- Benefits club
- Home office allowance
- Mobility allowance
- Childcare allowance
- Life insurance
- Extended leave policies
- Support for sports, quality of life, and well-being
- Payroll-deducted loans at reduced interest rates
- Flexible and predominantly remote work model
