Partner semi-embedded with operations and customer support management teams to own complex analytic work end-to-end: framing questions, defining measurement, and delivering narratives that influence roadmap decisions with a clear point of view grounded in evidence.

Build trusted relationships with operations leadership and relevant cross-functional partners, communicating tradeoffs managing expectations through ambiguity, and ensuring analytics engagement lands at the right moments.

Lead high-impact ad hoc analyses that surface non-obvious opportunities or trends in operations data; proactively follow insights through to recommendations which will directly impact customer outcomes.

Be a force multiplier for the team via creating self-service analytics: contributing dashboards, metric definitions, reusable queries/notebooks, and documentation so recurring questions scale.

Proactively seek out creative ways to apply data analytics methods and tools within the operations space. Guide and educate stakeholders and partners in the usage of these tools to support their decision-making process.

Mentor and uplift teammates through high-quality reviews, feedback, and collaboration while modeling pragmatic prioritization: balancing rigor with speed and escalating when scope or risk requires broader alignment.

Own commitments for your initiatives with predictable communication: clarify scope, document methods/limitations, communicate impact, and reprioritize when new information changes what “most impactful” means.

Data Analyst, Operations

Responsibilities

Qualification

Required

Benefits

Company

Truebill

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