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Tier-1 brand, generalist data analyst title, and metro location increase applicant competition.
Core data analytics skills (SQL, BI, Python/R) are highly transferable across industries.
Explicit years plus mandatory SQL, BI, Python/R, and statistical skills enforce strict screening.
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Lead data analysis efforts using advanced SQL, data visualization tools (Power BI, Tableau, Looker Studio), and programming (Python or R) to support business intelligence needs.
Perform statistical analysis including regression, descriptive statistics, and hypothesis testing to generate actionable insights.
Communicate findings effectively to influence non-technical stakeholders through strong verbal and visual storytelling.
Bachelor’s degree in Business, Finance, Statistics, Computer Science, or related field.
1–4+ years of experience in data analysis or business intelligence.
Mastery in SQL (joins, subqueries, window functions) and expertise in data visualization tools like Power BI, Tableau, or Looker Studio.
Proficiency in Python or R and advanced Excel skills (vlookups, pivot tables, macros).
Experienced at handling end-to-end data analysis projects with a focus on statistical rigor and storytelling to business teams.
Comfortable working in a technology consulting environment interfacing with diverse clients and internal stakeholders.
Capable of translating complex data into clear, visually compelling insights that drive business decisions.