Data Science Analyst
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.
About the job
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
- 401K, FSA, and commuter benefits
- $150 monthly spending account
- $1,000 annual continued education benefit
- $500 Newbie Productivity Perk
- Unlimited PTO and sick days
- Monthly Company Wellness Day Off
- Snacks, drinks, and catered lunches at the office
- Team building events
Skills
Python, SQL, Pyspark, pandas, Databricks, Tableau
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