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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data extraction, cleaning, and validation, with a strong ability to conduct exploratory and statistical analyses. Proficient in translating complex data insights into actionable recommendations while mentoring junior analysts.
Highest-signal resume keywords
Strong SQL SkillsProficiency In PythonExperience With TableauStatistical Inference UnderstandingData Analytics Experience
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 ExtractionData CleaningStatistical AnalysisA/B TestingData ValidationAnalytical MethodologiesMetric DefinitionPerformance AnalysisData ManipulationReporting Tools
Soft Skills
CommunicationMentoringCollaborationProblem-SolvingStakeholder Engagement
Tools & Technologies
TableauPower BIQuickSightAWSGCPAzure
Industry Keywords
B2B MarketingCRM DataSales DataBusiness IntelligenceQuantitative Analysis
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Own data extraction, cleaning, validation, and preparation for moderately complex analyses
- Independently scope and execute analyses addressing business questions, including ambiguous or multi-step requests
- Apply exploratory and statistical analysis to identify drivers, trends, and performance opportunities
- Develop and enhance dashboards and recurring reporting, including metric definitions and quality checks
- Document analytical assumptions, methodologies, and findings for reproducibility and data accuracy
- Analyze campaign performance across B2B marketing channels and recommend evidence-based optimizations
- Assess lead quality, funnel conversion, and campaign contribution across key funnel stages
- Evaluate marketing initiatives by identifying performance drivers, segment-level differences, and improvement opportunities
- Design and analyze A/B tests, including success metrics, interpretation, and limitations
- Translate analytical findings into concise recommendations and communicate trade-offs to stakeholders
- Partner with marketing, BI, data, and cross-functional teams to define analytical requirements and improve reporting processes
- Present findings in team and stakeholder reviews, flagging risks, caveats, and follow-up questions
- Mentor and coach junior analysts through guidance, code and output reviews, feedback, and best-practice sharing
- Review junior analysts’ deliverables for analytical rigor and clarity; no formal people-management responsibility
Requirements
What you’ll need- Bachelor’s or Master’s degree in Statistics, Analytics, Engineering, Computer Science, Economics, or a related quantitative field
- 4–8 years of experience in data analytics, business intelligence, or related analytical roles
- Hands-on experience analyzing marketing, CRM, or sales data preferred
- Experience independently delivering analytical projects using structured datasets and reporting tools
- Strong SQL skills, including complex joins, CTEs, window functions, and data validation
- Proficiency in Python or similar analytical tools for data manipulation, exploratory analysis, and repeatable workflows
- Experience developing and improving dashboards using Tableau, Power BI, QuickSight, or similar tools
- Applied understanding of statistical inference, hypothesis testing, experiment analysis, and common analytical limitations
- Exposure to AWS, GCP, or Azure and scalable data workflows is a plus
- Ability to partner with marketing and cross-functional stakeholders
- Ability to translate complex data into practical recommendations
- Commitment to developing and mentoring junior analysts
Benefits
Comp & perks- Flexible work environment
- Fluid career paths
- Internal mobility opportunities
- Purpose, well-being, and work-life balance initiatives
- Inclusive and welcoming work environment
- Volunteer opportunities
- Equal opportunity employment