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Well-known brand, metro location, popular data intern title and broad skillset drive high applicant competition.
Core analytics and engineering skills are transferable, though firmographics and financial data knowledge add moderate domain bias.
Multiple mandatory technical skills (SQL, Python, Databricks, Power BI, PySpark) increase filtering, so medium strictness.
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Manage complete client engagements from data extraction to deliverable preparation and communication.
Design and implement data analytics solutions leveraging multiple datasets including firmographics and financial data.
Develop insights, reports, dashboards, and visualizations that inform strategic business decisions.
Exposure to data engineering concepts such as data architecture, management, governance, and quality frameworks.
Technical proficiency in SQL, Python, advanced spreadsheets, and hands-on experience with Power BI, Databricks, PySpark, and AI/ML technologies.
Prior internship or project experience relevant to data analytics or engineering.
Work Experience Required: Prior internship or project experience preferred (no full-time experience explicitly mentioned).
Experience working with large structured and unstructured datasets and advanced analytical tools.
Ability to collaborate effectively with cross-functional and global teams to deliver quality data solutions.
Strong skills in both technical implementation and communication to engage with stakeholders worldwide.