Senior BizOps Analyst - Product Operations

Role

We are looking for a Senior BizOps Analyst - Product Operations to join our team. This is a hybrid role, reporting to the Director, Product Revenue in the Product Operations department.

In this fast-paced, high-impact individual contributor role, you will combine strong business acumen with SQL, Python, data modeling, dashboards, custom data applications, and AI-enabled workflows. You will help Product Operations turn ambiguous business problems into clear signals, scalable analytics, decision workflows, and practical tools that improve how teams operate.

What you’ll do (Role Expectations)

• Partner with Product leadership to clarify high-priority business questions and define the signals, dashboards, workflows, or AI agents needed to accelerate product and operational decision-making
• Own the Product Operations signals repository as the single source of truth for business logic, data inputs, definitions, owners, status, and documentation
• Build clean, reusable data models and advanced SQL transformations that power dashboards, custom applications, decision workflows, and AI agents
• Develop dashboards and Python-based custom data applications when standard BI tools are not sufficient, ensuring solutions are adopted and actively used by teams
• Translate ambiguous Product Operations problems into buildable specifications, review AI agent outputs, apply ML/NLP techniques where useful, and present signal performance and recommendations clearly to stakeholders

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 3–5 years of experience in data, analytics, business operations, product operations, or a related role
• Strong SQL skills, practical Python experience, and the ability to transform, structure, and validate complex datasets
• Strong data modeling skills with the ability to design clean, scalable, reusable datasets and metric/signal definitions
• Proven ability to translate ambiguous Product Operations problems into buildable signal specifications, dashboards, applications, or workflows, supported by strong documentation, communication, and independent execution skills

What Will Make You Stand Out (Preferred Qualifications)

• Experience designing, evaluating, or integrating AI agents, LLMs, or automated decision workflows to streamline product operations and signal detection
• Experience working directly with Product teams
• Experience building internal tools or custom applications beyond standard BI dashboards

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