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This role requires comfort with ambiguity, conflicting signals, and pushing back when the data challenges the prevailing narrative. You’ll be expected to ask hard questions, defend your conclusions, and help the team make real tradeoffs, even when the answers are uncomfortable or incomplete. If you prefer clean datasets, predefined questions, or staying within safe consensus, this role will be frustrating. If you enjoy owning the truth in complex systems and using data to influence what gets built (and what doesn’t), you’ll thrive here.
Job Responsibility:
Own the understanding of how Flip performs in the real world by analyzing call and usage data
Surface the truth in the data, what’s actually driving automation, where calls break down, and why outcomes vary
Turn messy, ambiguous signals into clear recommendations that shape product priorities, improve call outcomes, and prevent small issues from becoming systemic problems
Analyze customer call and usage data to understand automation rates, call outcomes, drop-offs, and friction points
Identify trends across customers over time
Partner closely with Product Managers to bring customer data directly into product decisions, roadmap priorities, and default behaviors
Identify gaps between intended product behavior and real customer usage
Help evaluate experiments and A/B tests to understand impact
Enable Sales and Customer Success with clear, data-backed narratives that demonstrate performance, improvement over time, and customer value
Build comparisons, benchmarks, and success stories that support renewals, expansions, and optimization conversations
Requirements:
Comfortable working with messy, real-world data and ambiguity
Able to explain not just what the data shows, but why it matters
Brings strong analytical depth, including experience with SQL or similar querying tools and working directly with underlying data
Detail-oriented and driven, with a consistent track record of high performance
Comfortable asking uncomfortable questions and challenging assumptions when the data doesn't support the narrative
Ownership-minded, motivated to go beyond surface-level answers
Collaborative and supportive, able to work closely with others while maintaining independent, data-grounded judgment