Product Data Analyst

Resonate - Washington, DC

Full-time - Mid Level

Remote - Washington, DC

Performing Arts, Spectator Sports, and Related Industries

About the position

The Product Data Analyst at Resonate plays a crucial role in executing segmentation and custom modeling, ensuring high-quality output, and providing essential post-sales support. This position is vital for transforming the marketing landscape through data-driven insights and innovative solutions, leveraging advanced technologies to meet client needs and enhance business outcomes.

Responsibilities

• Run segmentation and propensity models, ensuring accurate and efficient processing.
• Maintain high standards of output quality by implementing rigorous testing and validation processes.
• Provide ongoing support to clients after delivery, addressing any issues and ensuring continued success.
• Continuously monitor and analyze the performance of deployed segmentation and models, making necessary adjustments to optimize results.
• Develop and communicate insights from data to various audiences.
• Maintain comprehensive documentation of segmentation, models, processes, and support activities to ensure transparency and continuity.
• Work closely with internal teams, including data science, engineering, product management, and sales, to ensure seamless product execution and client satisfaction.
• Execute projects with limited supervision by compiling, analyzing, and interpreting data, writing client reports, and constructing presentations.
• Collaborate with internal stakeholders on data collection and preparation, ensuring data is collected accurately and providing ad hoc statistical analyses as needed.
• Drive innovative thinking around methods to enhance our data offerings.
• Develop a deep understanding of clients' business needs and objectives, identifying opportunities to use data to enhance business outcomes and deliver value to clients.

Requirements

• Bachelor's or master's degree in data science, Customer Analytics, Computer Science, Statistics, Economics, Math, Business Analytics, or a related field.
• Minimum of 5 years of experience in a data analysis or operations role, preferably within the analytics or tech industry.
• 1-3 years of analyst experience.
• Strong technical skills in running and maintaining data models, particularly segmentation and propensity models.
• Proficiency in SQL (Postgres and amazon Athena), spark/scala, python, R and the Microsoft Office Suite, including strong Excel skills (lookups, graphing) and PowerPoint.
• Familiarity with Machine Learning Toolbox: Factor and Cluster Analysis, Decision Trees/Random Forests, Logistic and Linear Regression, Naive Bayes.
• Knowledge of data visualization tools and techniques.
• Exceptional analytic skills with the ability to identify patterns and draw insights from multiple data sources.
• Knowledge of analytical methods focused on the identification of target consumers, optimization, and measurement, including attribution and lift.
• Excellent problem-solving abilities and attention to detail.
• Effective communication and interpersonal skills, with the ability to collaborate with both technical and non-technical stakeholders.
• Ability to manage multiple tasks and projects simultaneously in a fast-paced environment.
• Exceptional troubleshooting, problem-solving, and research skills.
• Enthusiasm for the practical application of statistical analysis to address business issues.
• Strong attention to detail.

Benefits

• Uncapped growth potential
• Work/life balance
• Competitive suite of benefits