Role and Responsibilities
Data Querying & Management: Advanced proficiency in SQL for extracting, cleansing, aggregating, and organizing complex datasets from relational databases and cloud data warehouses.
Business Intelligence & Data Visualization: Strong hands-on experience designing intuitive, interactive dashboards and automated reports in Microsoft Power BI (including DAX and Power Query) and/or Tableau.
Advanced Data Analysis & Scripting: Strong skills in Python or R (utilizing libraries such as Pandas, NumPy, Scikit-learn) for exploratory data analysis, data manipulation, and predictive analytics.
Familiarity with Enterprise Data Platforms: Understanding of data warehousing principles, ETL/ELT pipelines, and familiarity with enterprise systems (e.g., SAP, ERP environments) or cloud environments (AWS, Azure, GCP) is a strong plus.
Demonstrated experience in building end-to-end BI solutions—from raw data extraction to front-end executive visualizations.
Strong problem-solving mindset with the ability to structure ambiguous business problems into measurable, data-driven analytical frameworks.
Excellent written and verbal communication skills, with proven ability to present complex technical findings and strategic insights to non-technical stakeholders and leadership.
High attention to detail, strong organizational skills, and a proactive, collaborative approach to teamwork.
Prior internship or professional experience in business intelligence, operations analytics, or data science is highly desirable.
Skills and Qualifications
Academic Major Preferred: Master's
Master of Science in Data Analytics, Business Analytics, Artificial Intelligence, Computer Science, Statistics, or related STEM discipline.
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