We are HALO! We connect people and brands to create unforgettable, meaningful, and lasting experiences that build brand engagement and loyalty for our over 60,000 clients globally, including over 100 of the Fortune 500. Our nearly 2,000 employees and 1,000 Account Executives located in 40+ sales offices across the United States are the reason HALO is #1 in our $25B industry.

HALO is looking for a Product Manager, Data Analytics & Reporting that is responsible for working with internal stakeholders and customers to understand their data needs and translating them into a product vision and roadmap. They will focus on delivering data-driven solutions, leveraging technologies like Snowflake and Tableau, while balancing strategic product management with hands-on execution.

Strategy: Define the product strategy and road mapping for analytics and reporting with all relevant stakeholders, prioritizing initiatives that deliver measurable business value.

Data-Driven Insights: Leverage data analytics to identify trends, drive decision-making, and support actionable recommendations across the organization.

Technical Expertise: Partner with Data Engineering to design and build scalable data solutions using Snowflake, Tableau, and other relevant tools.

Collaboration: Successfully influence stakeholders without formal authority, aligning cross-functional teams across geographies and business units.

Project Management: Plan and manage tasks, and deliverables, ensuring seamless execution of analytics-driven projects.

Responsibilities:

• Define product requirements and success metrics for analytics and reporting tools aligned with company goals, customer needs, and market trends.
• Partner with Engineering to design, develop, and deliver scalable data products leveraging Snowflake, Tableau, and other analytics technologies.
• Build and manage a backlog of prioritized features and enhancements, focusing on analytics and reporting needs.
• Identify key KPIs and OKRs, create dashboards, and perform data analysis to uncover opportunities for improvement.
• Author detailed use cases, user stories, and acceptance criteria for analytics-driven product solutions.
• Evangelize the analytics product vision to internal stakeholders, ensuring adoption and alignment.
• Perform and coordinate software acceptance testing and validate data integrity and accuracy.
• Facilitate Agile ceremonies such as sprint planning, daily stand-ups, iteration reviews, and retrospectives.
• Lead user acceptance testing (UAT) and support post-implementation validation for analytics features.
• Mentor team members on Agile best practices and promote a data-first culture within the organization.
• Other responsibilities as assigned.