Data Science Analyst

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