This Analytics Engineer seat drops into a business where metric governance is tied to separation execution, executive reporting, and trust in numbers that will be challenged under pressure. The candidate is not stepping into a quiet dashboard role; this is a data reliability post where unclear ownership upstream lands as downstream accountability.
Breakup-era reporting pressure
Honeywell’s Q1 2026 earnings filings reveal net sales of $9.14 billion that missed estimates, GAAP EPS down 35% to $1.29 after a $436 million Industrial Automation goodwill impairment and spin-related costs, operating cash flow at negative $650 million after a $1.6 billion Resideo payment and litigation settlement, and free cash flow down to $56 million. Those same filings show the company accelerating a three-way breakup through the Aerospace spin-off and divestitures of PSS and WWS. That combination puts every reporting function under tighter scrutiny: leaders need cleaner controls, entity-ready definitions, and audit-defensible data while hiring stays constrained and source-system authority remains split across legacy teams.
Decision-grade pipeline ownership
This role commands the layer between raw operational data and numbers used in restructuring, finance, and business decisions. The successful candidate owns reconciled KPI logic, deploys dependable data models, documents metric definitions across business units, and contains reporting drift when source quality or stakeholder requirements shift midstream. The accountability is simple even when the environment is not: deliver analytics outputs leaders defend during separation work, audits, and executive review.
Cross-entity KPI reconciliation
- Metric Governance: Audit conflicting KPI definitions across business units, enforce approved logic in semantic layers or transformation code, and document the final source of truth for finance and operations reporting.
- Pipeline Reliability: Build and maintain analytics pipelines that isolate source anomalies, surface failures early, and deliver stable datasets for dashboards, recurring reports, and executive asks.
- Separation Readiness: Prepare entity-specific reporting structures, map data dependencies tied to divestitures or spin activity, and deliver transition-ready outputs that hold up under review.
- Production Triage: Absorb ad hoc reporting escalations, investigate broken dashboards or data mismatches, and escalate upstream ownership gaps with clear documentation of business impact.
Technical depth for chaotic source systems
- Analytics Engineering Tenure: 36 months of hands-on work building production data models, reporting layers, or analytics pipelines in SQL-centered environments.
- Data Modeling Discipline: Proven skill with dimensional modeling, metric definition control, testing, and documentation in BI or transformation workflows.
- Stakeholder Defense: Experience explaining data discrepancies to finance, operations, or executive stakeholders and driving resolution when requirements conflict.
Part-time compensation under Phoenix commute costs
For Phoenix, this range pays for technical accountability rather than low-stakes reporting support. Because the role is on-site, commute time and transportation costs around Sky Harbor impact take-home value; the decision hinges on whether the candidate wants part-time hours attached to high-visibility data ownership.
- Base Salary Range: $65,000 – $90,000 USD / Year
- Career Capital: The work builds direct exposure to finance, operations, and separation stakeholders who control metric standards and reporting trust.
- Next-Step Signal: This position strengthens the case for a future Senior Analytics Engineer, Analytics Lead, or Data Governance role tied to business-critical reporting.
Onsite execution rules at Sky Harbor
- The Physical Presence Directive
- Location: Phoenix, AZ. Status: On-site. This role is not remote and requires regular physical attendance at the Sky Harbor location.
- Relocation Posture
- Relocation support is not the operating priority. Leadership is protecting cash, margin, and separation execution; this seat is built for local talent or candidates prepared to self-fund a move.
- The Candidate This Role Is Built For
- This role fits an ascent-stage analytics engineer who wants harder technical ownership and accepts that the path runs through messy source systems, executive scrutiny, and visible accountability.
Green Flags
- Advantage: Breakup Credential: Eighteen months here gives the candidate a hard-to-fake market signal: trusted analytics delivery through a conglomerate breakup, divestitures, and operating-model change.
- Advantage: Strategic Visibility: Because reporting quality is tied to separation execution, strong work in this seat is seen by finance and business leaders rather than staying buried as back-office support.
Red Flags
- Warning Sign: Responsibility Without Authority: This role is held accountable for numbers used in restructuring decisions while source ownership, KPI definitions, and staffing remain fragmented across legacy teams.
- Warning Sign: Churn Load: Employee-review patterns document understaffing, heavy workloads, micromanagement, and red tape; production support, ad hoc executive asks, and cleanup work stacks simultaneously.
