Posted:1 week ago|
Platform:
Remote
Full Time
We want you to see first why this opportunity stands out and why it could be a great fit for you.
HMO Coverage for eligible locations
Permanent work from home
Immediate hiring
Steady freelance job
The client is an AI-driven third-party collections company. We’re hiring an exceptional, bar-raiser Senior Operations Reporting Analyst to be the dedicated owner of operational reporting. You’ll be a self-starting senior IC (team of one for now), reporting to the Director of Strategy and partnering closely with the COO. Your charter: build interventionist, causality-focused dashboards and reports that make it obvious what changed, why it changed, and what to do next.
● Own operational reporting end-to-end in BigQuery and Looker: requirements, modeling, QA, dashboard design, enablement.
● Build “interventionist” dashboards that expose causal chains across the collections funnel (inventory → eligibility → treatment → contact → RPC/engagement → new
payers → payments). Every tile shows numerator + denominator → rate, baselines, and “compared to what.”
● Diagnose performance across agents, strategies, and competitors; separate real signal from noise using expectations, seasonality, base-rate rigor, and confidence bands.
● Standardize definitions and expectation setting (actual vs expected, deltas, and bands) with new/legacy placement splits and placement-age cohorts.
● Quantify drivers of change (e.g., month-to-month decomposition) and communicate the “why/because” in plain language with recommended actions.
● Partner across data sources: system of record (InterProse), dialer/telephony (TCN), Collin (AI agent brain), payment processing, vendor/skip-trace providers, contactability and deliverability signals.
● Close gaps with the foundational data team: when elements are missing, specify clear data contracts and schema updates for BigQuery.
● Enforce strategy adherence: measure adherence to stated strategies and highlight where drift undermines results.
● Advance experimentation and ROI: design A/B views, channel/omnichannel effectiveness, resource optimization across segments, and account-quality changes over time.
● Be your own first customer: ship with clear documentation, caveats, and a narrative that stands behind the work.
● Collections domain: hands-on experience in third-party (or first-party) collections analytics, with fluency in contact/RPC/PTP/liquidation funnels, consent/deliverability, and compliance constraints.
● Data stack: expert SQL (BigQuery). Strong Looker dashboarding and metric modeling. Ability to transform incomplete requests into complete, decision-ready outputs.
● Evidence design: Always show denominators and baselines, annotate decisions, prefer small multiples over chartjunk, compare “with/without” and “before/after.”
● Problem framing: instinct to ask “compared to what?”, adjust for mix and seasonality, and call uncertainty when base rates are low.
● Communication: crisp executive storytelling, written narratives, and the ability to push back on ambiguous asks and fill gaps responsibly.
● Ownership: startup-ready self-starter who can design, build, and iterate rapidly with minimal guidance.
● LookML development, Python for data QA or decomposition routines, dbt/Dataform, Git-based workflows, and comfort with both batch and (optionally) event-driven data.
● Experience with LTV/ROI modeling, LMDI-style attribution, or similar decomposition methods.
● Prior work with InterProse, TCN, or payment processors; entity resolution across placements/vendors.
Apply directly to the link provided; you will be redirected to BruntWork’s Career Site. You must apply using the said link to complete the initial requirements, which includes pre-screening assessment questions, technical check of your computer, and voice recording.
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