Job Description
Data Analytics Manager 1246438 (H)
A leading podcast and audiobook company is seeking a Data Analytics Manager. The successful candidate will build new technical solutions that help optimize product strategies and features. The ideal candidate has strong experience with SQL and data warehousing; and experience using data visualization tools like Tableau or MicroStrategy. The company offers a great work environment!
Manager – Analytics Pay and Benefits:
- Hourly pay: $47-$80/hr (Pay varies based on the candidate’s work location and experience)
- Worksite: Leading podcast and audiobook company (Newark, NJ 07102 (Hybrid/Open to remote)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
- 40 hours/week, 4 Month Assignment
Manager – Analytics Responsibilities:
- Provide stakeholders with timely, relevant insights, scenarios, and recommendations.
- Produce tangible, actionable insights and work with product managers to guide the roadmap.
- Aid in the development of strategic initiatives through work such as channel and surface deep dives.
- Develop technical and non-technical training materials and presentations for product stakeholders.
- Analyze A/B tests across the company’s surfaces.
Manager – Analytics Qualifications:
- 2+ years of working experience.
- Bachelor’s degree in Business Intelligence, Computer Science, Mathematics, Statistics, or Engineering.
- Strong experience with SQL, and data warehousing; experience using data visualization tools like Tableau or MicroStrategy.
- Experience in AWS environment.
- Knowledge of A/B testing, statistics, and modeling.
- Domain knowledge of comparable products (digital, retail).
- Knowledge of scripting languages such as Python (preferred) or R.
- Understanding of and proficiency in data engineering concepts.
- Passion for data and insights.
- Customer and business obsession, with a bias for action and a drive to create measurable value.
- High attention to detail and a track record of managing multiple, competing priorities simultaneously under tight deadlines.