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Remote role, popular mid-level data-engineer title, and broad common skillset increase applicant competition.
Data engineering skills are broadly transferable across industries, lowering background sensitivity.
Explicit 2-5 year requirement plus common technical skills moderately filters applicants.
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Collaborate with cross-functional teams to define data requirements and ensure data quality and integrity.
Curate and analyze complex data sets using tools like web scraping, ETL pipelines, and SQL to generate actionable business insights.
Design and maintain BI dashboards and reports to communicate data trends and insights effectively.
Bachelor's degree in computer science or related technical field.
2-5 years of experience in data analysis and visualization tools such as Python, SQL, Excel, Tableau, Looker, or PowerBI.
Experience with enterprise cloud platforms like AWS or GCP.
Work Experience Required: 2-5 years in data analysis and visualization.
Experienced in building and documenting data processes with best practices in security and quality.
Capable of working in dynamic, fast-paced environments requiring innovation and rapid execution.
Skilled at breaking down complex problems and proposing clear, strategic solutions.