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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level generalist data role, metro location, known employer, and broad required skillset increase competition.
Core data engineering and analytics skills are transferable, though panel/meter domain knowledge moderately increases fit sensitivity.
Explicit 4+ years plus mandatory Python, PySpark, SQL and cloud experience elevates shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Modify and optimize existing codebases and data products focused on panel and meter data.
Independently design and build data pipelines using Python, PySpark, and SQL with integrated quality checks.
Lead end-to-end analytics projects, collaborate with cross-functional teams, and present data-driven recommendations.
Minimum Requirements
4+ years of relevant experience in data science, data engineering, or advanced analytics.
Advanced proficiency in Python, PySpark, and SQL for data manipulation and pipeline development.
Experience with cloud platforms, preferably AWS; Azure or GCP experience also acceptable.
Bachelor’s degree or equivalent in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field.
Ideal Candidate Profile
Proven ability to independently manage full project lifecycle from conception to delivery with strong project management skills.
Experienced in handling panel and meter data, designing data pipelines, and improving data quality and efficiencies.
Skilled at communicating complex data insights effectively to diverse stakeholders and driving collaboration across teams.