Data Science Analyst automates data-driven tasks, performs ad-hoc analysis using Python, PySpark, SQL to forecast trends and optimize marketing performance. Requires bachelor's degree and 1-2 years experience in data manipulation.
70k – 85k
Hybrid1+ YOEData Analytics
About the role
Responsibilities
Automate data-driven tasks; design processes that require zero intervention
Work cross-functionally within the organization to deliver integrated business solutions
Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance
Use best-in-class tools like Databricks, and Tableau to empower insightful analysis for advertising partners
Qualifications
Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required
1-2 years of academic and/or professional experience in Data Manipulation Software (e.g., SQL, Python, Pandas)
Demonstrated abilities to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques
Extremely organized with great attention to detail
Excellent ability to analyze information and think systematically
Works well independently and as part of a team
Ability to handle databases and understand technology-driven business tools
A sense of curiosity and desire to learn!
Benefits
Total compensation ($70,000 - $85,000)
Equity compensation
Health insurance coverage for you and your dependents
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