What we do: Multi Media, LLC owns and operates one of the most popular live streaming entertainment platforms on the internet, earning spots on Alexa’s most visited websites, top 50 globally and top 20 in the United States.
As a Product Data Analyst, you will partner with product managers and engineers to help us understand our users and how they use the site. You will lay the foundation for high quality decision making, drive experimentation, and help define how success is measured.
What will you do:
- Work closely with product managers to define feature instrumentation and deliver insights on features and product launches
- Prioritize and deliver in the face of ambiguity, working with stakeholders to refine the problem, adapting to answer complex questions, and identifying the trade-offs between speed and quality in your execution
- Create a common standard for how teams understand results by developing data assets and evangelize their use across the company
- Support data process... and tactical execution by providing stakeholders with adhoc reports, automated dashboards, and self-service tools
What will you bring:
- Bachelor's degree in Mathematics, Engineering, Statistics, Finance, or related technical field or proven track record in a quantitative / problem-solving environment
- 2-3 years of professional experience a Product Data Analyst
- Expert SQL skills
- Strong written and verbal communication skills, especially communication around data
- Fluency in data analysis and A/B testing
- Experience with data tools (Python, R, etc) is a plus
What You’ll Get:
- Competitive salary and benefits
- Fully Remote Optional
- 100% covered Health, Vision, Dental, and Life Insurance for you and any dependents
- 401k with 5% matching
- 11 Paid Holidays, Paid Vacation, Paid Sick Days, and one Floating Personal Day.
- Paid Lunches in-office, or if Remote, a $40/week stipend for GrubHub.
- And much more!
Multi Media, LLC is an equal opportunity employer and strives for diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage people from underrepresented groups to apply
