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Mid-level metro data analyst role with broad technical requirements drives high applicant competition.
Core data analytics, SQL, Python and BI skills are highly transferable across industries.
Explicit 2+ years plus mandatory SQL, Python/R, ML, and BI tools enforce strict shortlisting.
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Design and implement data analytics strategies driving data-driven business initiatives.
Utilize SQL, Python/R, and machine learning for data extraction, analysis, and predictive modelling.
Develop data visualizations and automate data blending and preprocessing with tools like Power BI or Tableau.
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field; Master's or Ph.D. strongly preferred.
Minimum 2+ years of experience as a Data Analyst with proven success in data analytics initiatives.
Expert proficiency in SQL and advanced programming skills in Python or R.
Strong experience with data visualization tools (Tableau, Power BI), data blending, preprocessing, and understanding of database structures and data governance.
Experienced data analyst capable of leading and delivering complex analytics projects independently.
Strong strategic thinker with leadership qualities and stakeholder management experience.
Skilled in advanced statistical techniques, predictive modelling, and machine learning algorithms within a fast-paced, data-driven environment.