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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, including statistical methods, SQL, and programming in R/Python, while effectively communicating insights and collaborating with engineering teams to optimize data workflows and campaign performance.
Highest-signal resume keywords
Data Analytics ExperienceSQL Query WritingStatistical MethodsProduct AnalyticsProgramming in R/Python
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 AnalysisStatistical MethodsSQLRPythonCampaign Performance AnalysisData VisualizationEvent TrackingAttribution ModelsIncrementality Testing
Soft Skills
High-Level Communication SkillsCollaboration
Tools & Technologies
Google Tag ManagerGAMixpanelAmplitudeLookerTableauDbt
Industry Keywords
Digital Marketing TrendsCustomer Behavior AnalysisMarketing Mix ModelingData Transformation ToolsAnalytics Implementation
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Track online marketing trends
- Collect and analyze customer, marketing, and web behavioral data
- Test campaigns, analyze key metrics, and identify opportunities to improve campaign performance
- Develop and present analytical learnings, actionable insights, and recommendations
- Develop digital campaign and web measurement strategies
- Create dashboards, data visualizations, and campaign performance reports
- Monitor and analyze digital media and marketing trends
- Communicate and present findings to colleagues, senior managers, and internal clients
- Collaborate with data engineers to optimize data workflows and ensure data consistency and coverage across domains and IT solutions
- Report to the Marketing Analytics Lead
Requirements
What you’ll need- 3+ years of data analytics work experience
- Intermediate in statistical methods and experimental design
- Experience using quantitative analysis to impact key decisions
- Experience writing SQL queries and working with large data sets
- Experience in product analytics and BI tools such as GA, Mixpanel, Amplitude, Looker, Tableau, or similar
- Understanding of overall business value beyond numbers and charts
- Hands-on experience collaborating with engineering teams on event tracking and analytics implementation, including Google Tag Manager, custom events, and data validation
- High-level written and verbal communication skills
- English language skills at upper intermediate level or higher
- Programming skills in R/Python
- Experience applying LLMs via APIs for analytics use cases such as data exploration, anomaly detection, reporting automation, or internal AI assistants
- Familiarity with modern analytics stacks and data transformation tools such as dbt or similar
- Understanding of attribution models, incrementality testing, or marketing mix modeling fundamentals
Benefits
Comp & perks- Competitive base compensation
- Bonus program
- Paid Time Off
- Work From Home
- A fun, creative and energetic work environment
