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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, statistical practices, and data storytelling to deliver actionable insights and recommendations. Proficient in SQL, R or Python, and visualization tools to support data-driven decision-making in a fast-paced environment.
Highest-signal resume keywords
Data AnalysisSQL ProficiencyStatistical AlgorithmsData VisualizationCommunication Skills
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 PracticesSQLRPythonMachine LearningRegressionClassificationClusteringData Manipulation
Soft Skills
Problem-SolvingInterpersonal SkillsMentoringCollaborationCommunication
Tools & Technologies
BigQueryShinyGgplotMatplotlibTableau
Industry Keywords
AnalyticsMerchandising PerformanceData StorytellingStakeholder EngagementCenter of Excellence
Tech Stack
Tools & technologiesBigQueryPythonSQLTableau
About the role
Key responsibilities & impact- Partner with stakeholders to define success and develop measurement frameworks
- Analyze complex business problems and provide merchandising performance insights through hypothesis testing
- Deliver analytical products including analyses, dashboards, insights, and recommendations
- Present results to stakeholders, including executives, and guide effective use of analytics
- Define and implement new metrics
- Identify opportunities to use data to develop strategies and improve performance
- Deliver high-quality solutions and recommendations independently and collaboratively
- Communicate insights through clear, meaningful data storytelling to audiences with varied technical expertise
- Reconcile divergent stakeholder demands in a fast-paced environment
- Mentor junior team members on analytics, storytelling, and communication best practices
- Influence and support analytics Center of Excellence standards and best practices
- Apply advanced analytical and statistical practices to create actionable insights
Requirements
What you’ll need- Bachelor's Degree in a quantitative field (or equivalent experience)
- 5+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations
- 3+ years of experience extracting and manipulating large data sets from various relational databases using SQL; BigQuery preferred
- Strong problem-solving skills, including independently completing ambiguous projects and prioritizing tasks
- Strong coding skills in at least one statistical or programming language; R or Python preferred
- Experience with statistical and machine learning algorithms, including regression, classification, and/or clustering
- Proficiency with graphics/visualization software such as Shiny, ggplot, matplotlib, or Tableau
- Ability to work flexibly in a fast-paced and dynamic organization
- Clear and effective written and verbal communication and strong interpersonal skills
Benefits
Comp & perks- Medical/Vision, Dental, Retirement and Paid Time Away
- Life Insurance and Disability
- Merchandise Discount and EAP Resources
- Performance-based incentives/bonuses may be available
- 401k
- Medical/vision/dental/life/disability insurance options
- PTO accruals
- Holidays