Senior Analytics Engineering Manager

Summary

Join PrizePicks, the fastest growing sports company in North America, as a Senior Analytics Engineering Manager and lead the creation and management of analytics tools and workflows to support PrizePicks across all departments. As a key member of the Analytics Team, you will play a pivotal role in architecting, implementing, and maintaining core datasets, models, and delivery of data to other analytics functions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Statistics, or a related field
• 5+ years of experience in analytics engineering, data engineering, or a related role, with at least 3+ years in a leadership or managerial capacity
• Expert SQL, expert data modeling (DBT or a like tool), ETL development, and data warehousing concepts
• Proficiency in programming languages such as Python or R
• Experience with cloud data platforms such as Snowflake, BigQuery, AWS, or Azure
• Strong knowledge of analytics and BI tools such as Looker, Tableau, or Power BI
• Excellent problem-solving skills with a deep understanding of data pipelines and transformation workflows
• Demonstrated ability to manage complex projects, set priorities, and adapt in a fast-paced environment
• Exceptional communication skills, with the ability to translate technical concepts to non-technical audiences
• Excellent attention to detail, with strong understanding of accounting principles and how data is leveraged for accounting processes

Responsibilities

• Lead, mentor, and develop a high-performing team of analytics engineers, fostering a culture of innovation and excellence
• Define and drive the strategic vision for analytics engineering, ensuring alignment with business objectives and data strategy
• Serve as a thought leader and collaborate with stakeholders to identify and prioritize key business questions and analytics needs
• Architect and manage scalable data solutions, including data pipelines, transformation frameworks, and analytics models
• Develop and maintain an enterprise-level data model and oversee the organization’s data warehouse and data lake strategy
• Implement best practices for data governance, data quality, and security
• Lead project scoping, planning, and execution for analytics initiatives, ensuring timely and high-quality delivery
• Manage project resources, timelines, and dependencies, communicating risks and outcomes to stakeholders
• Partner with Finance, Data Science, Business Intelligence, Product, and IT teams to design and implement end-to-end analytics solutions
• Advocate for data-driven decision-making by providing thought leadership on analytics methodologies and the use of data assets
• Develop and maintain strong relationships with senior leadership to align data initiatives with business priorities
• Stay current with industry trends and emerging technologies in data engineering, analytics engineering, analytics, and data visualization
• Recommend and implement new tools, platforms, and methodologies to improve data accessibility, performance, and usability

Benefits

• Company-subsidized medical, dental, & vision plans
• 401(k) plan with company match
• Long-term incentives and bi-annual bonus
• Flexible PTO to encourage a healthy work/life balance (2- weeks STRONGLY encouraged!)
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (Windows & Mac options)
• Annual performance reviews with opportunities for growth and career development