Freed is looking to solve the problem of overworked and burnt out doctors by creating products that make clinicians happier, and is seeking a Marketing Data and Analytics Marketer to shape marketing efforts by structuring, gathering, analyzing, and interpreting data to optimize strategies.
Requirements
- Experience with advanced data analysis tools (e.g., Google Analytics, Looker, SQL, R, Python, etc).
- Advanced proficiency in data visualization and reporting tools (e.g., Looker, Google Data Studio, Power BI).
- Strong analytical and problem-solving skills with the ability to turn complex data into clear, actionable insights.
- Deep understanding of customer segmentation, behavior tracking, and predictive analytics.
- Strong background in measuring a PLG motion as well as digital marketing channels.
- Proven track record of using data to drive marketing strategy and decision-making.
Responsibilities
- Lead the development of the marketing analytics strategy and execution across all digital channels.
- Oversee the integration of marketing data from various sources (e.g., CRM, web analytics, paid media, email campaigns, social media, etc).
- Ensure data quality, accuracy, and integrity across all marketing systems.
- Establish KPIs and develop dashboards to measure and track the success of marketing campaigns and initiatives.
- Perform deep-dive analyses into campaign performance, identifying trends, insights, and areas for optimization.
- Use data-driven insights to continuously enhance marketing strategies, including customer acquisition, retention, and overall engagement.
- Build complex models and conduct multivariate testing to optimize marketing efforts (e.g., A/B testing, predictive modeling)
Other
- Bachelor's degree in Marketing, Data Science, Statistics, Business Analytics, or a related field (Master’s degree is a plus).
- 7-10 years of experience in marketing data and analytics, preferably in a fast-paced startup or technology environment.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Unlimited paid time off
- Company-sponsored annual retreats
