The company is looking to lead the evaluation of new data assets and define its consumer-permissioned data strategy from an analytics perspective.
Requirements
- Technical expertise in Python, SQL, Tableau, and experience with AWS.
- Background in statistical modeling, machine learning, and data monetization strategies.
- Proven experience evaluating, monetizing, and integrating data assets.
Responsibilities
- Lead the assessment of new data sources, including coverage, quality, compliance, and commercial potential.
- Define and lead the consumer-permissioned data strategy from an analytics perspective, ensuring regulatory compliance and business understanding.
- Develop valuation frameworks to guide investment in and acquisition of data assets.
- Build and deploy statistical, predictive, and machine learning models to extract relevant insights from data.
- Partner with Product teams to translate evaluated data opportunities into high-value features and scalable products.
- Design compelling visualizations and dashboards in Tableau to communicate findings to executives, clients, and strategic partners.
- Work with the M&A team to assess the data value of acquisition targets and support due diligence processes.
Other
- Master's degree in a technical field such as Data Science, Computer Science, Statistics, Engineering, or a related discipline.
- 10+ years of industry experience in analytics, data strategy, or related fields; minimum 5 years in a leadership role.
- You will work remote from the United States.
- You thrive in cross-functional environments, can navigate complex data-driven business cases, and moves from coding in Python to valuing acquisition targets to leading client discussions.
- Develop analytics teams, promoting a culture of innovation, and measurable impact.
