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BruntWork · 3 weeks ago

Senior Operations Reporting Analyst \- ZR_30185_JOB

United States

Full-time

Remote

Senior Level

BruntWork is an AI-driven third-party collections company seeking a Senior Operations Reporting Analyst to own operational reporting. The role involves building dashboards and reports to analyze performance, partner with various data sources, and help shape the financial strategy for U.S. expansion.

AnalyticsCustomer ServiceDigital MarketingInformation TechnologyMobile AppsOutsourcingSalesSEOSoftwareVirtual Assistant

Responsibilities

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

Qualification

Collections analyticsSQL (BigQuery)Looker dashboardingEvidence designCommunicationOwnershipLookML developmentPythonDbt/DataformGit-based workflowsLTV/ROI modelingPrior work with InterProse

Required

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

Preferred

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