Applyđź“Ť United States
🧠Full-Time
đź’¸ $80,000 - $105,000 per year
🔍 E-commerce, retail, and entertainment
- Excellent analytical and problem-solving skills with strong attention to detail.
- Critical thinking: the ability to look at numbers, trends, and data and come to new conclusions based on the findings.
- Excellent foundational math/statistical skills with the ability to juggle facts, figures, and number crunching.
- Strong communication skills, with experience in creating and delivering presentations and executive summaries.
- 2+ years of hands-on data analysis experience within an agency or in-house environment.
- Advanced programming skills (R or Python) for data cleaning, data modeling, building pipelines, API calls, etc.
- Advanced experience in SQL (i.e.: window functions, stored procedures, and views, Triggers, Unions, CTEs, subqueries, debugging).
- Intermediate to advanced competency in statistics, probability, and linear algebra.
- Advanced Excel and/or Google Sheets skills.
- Experience/familiarity with version control (i.e.: Git, Bitbucket, etc.).
- An interest or passion for marketing analytics.
- Bachelor’s degree in a quantitative field (Stats, Mathematics, CS, Information Technology, Economics, Engineering, etc.).
- Interpreting, presenting, and communicating results by creating presentations and/or dashboards that communicate a succinct and compelling business story, driving decisions through research results.
- Learning to transform, improve, and integrate data, depending on the business requirements.
- Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative testing and solutions.
- Using SQL and BigQuery to combine data sets across multiple sources.
- Delivering the data in a useful and appealing way to technical and non-technical audiences using Looker.
- Working across various departments to understand client needs.
PythonSQLData AnalysisData MiningGitData analysisData miningCommunication Skills
Posted 2024-09-25
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