Data roles span a spectrum: data analyst roles typically emphasize SQL, spreadsheets, and dashboards; data scientist roles add statistics, Python, and machine learning; and business intelligence (BI) roles focus on building reporting tools like Power BI or Tableau dashboards for ongoing decision-making. Because this work is fundamentally about data rather than physical presence, it is one of the more remote-friendly fields, with companies worldwide hiring analysts who can demonstrate skill through a portfolio and a take-home case study, regardless of location. This module covers how to identify which role matches your current strengths, where to realistically search (company career pages, LinkedIn, and remote job boards), and how a typical take-home case study is structured and graded, usually on the clarity of your approach and recommendation as much as on technical polish.