LiveRamp is looking to solve the business problem of enabling companies to collaborate on data in a privacy-conscious way, allowing them to build a connected customer view, deepen customer engagement, activate new partnerships, and maximize the value of their first-party data while adhering to evolving compliance and privacy requirements.
Requirements
- Strong command of probability and statistics.
- Fluency in data and statistical analysis using SQL and Python.
- Strong command of data science toolkits (Pandas, NumPy, scikit-learn, etc.)
- Understanding of cloud platforms (AWS, GCP, etc.) and relational databases.
- Familiarity with fundamentals of randomized-controlled trials, A/B testing, and mar-tech/ad-tech measurement.
- Strong understanding of large-scale data analysis, fine-tuning of Spark jobs, and optimizing Spark SQL/PySpark models.
- Knowledge of Business Intelligence tools to build visualizations.
Responsibilities
- Help lead measurement initiatives; develop KPIs and learning plans for LiveRamp customers in support of their marketing objectives.
- Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers.
- Design approaches for observational analytics, including mining multi-dimensional datasets, and experimental methods to build templates and libraries of analysis that can scale across various customer use cases and verticals.
- Consult and advise clients and internal teams on audience strategy, experimental design, data requirements gathering, and post-campaign measurement using statistical and mathematical concepts to drive business solutions and actionable recommendations.
- Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization.
- Create compelling presentations and effectively communicate complex analytical concepts to business and technical audiences.
- Build up a strong understanding and expert knowledge of the various data sources brought together for data enrichment and collaboration.
Other
- Bachelors with 3+ years of experience or Masters with 1+ years of experience.
- Strong problem-solving skills.
- Attention to detail and time management, producing high quality, client-ready analytic deliverables across multiple projects and client engagements.
- Experience with ad-tech or curious about the ad-tech market and related measurement.
- Comfortable adapting to the latest tools and curious to explore industry best practices.
- Strong oral and written communication and organizational skills.
- Excellent communication skills - the ability to work cross functionally, with internal and external stakeholders, to translate product requests into features and analysis into business objectives.
- High EQ.
