Revenue Analytics Architect & Data Products Lead

ASSA ABLOY Group; Phoenix (AZ); On-site; USD 140,000 - 180,000; Full time

Job summary

ASSA ABLOY Group is seeking an experienced analytics leader to build a modern analytics practice in Phoenix, delivering revenue-focused analytics across Sales, Finance, and expanding to Supply Chain, Manufacturing, and Quality. You will design reusable data products, semantic layer, and standardized metrics to enable self-service insights.

You\'ll lead a team, partner with IT and business leaders, implement data quality, CI/CD analytics, and AI-assisted techniques to accelerate time-to-insight

Qualifications

• 8–10+ years in analytics/BI/data roles with evidence of business impact and cross-functional partnership.
• Experience managing or supervising technical staff (e.g., a data engineer or analyst).
• Expert SQL + strong data modeling (facts/dimensions; performance-aware).
• Proven ability to create reusable analytics assets (certified datasets, metric definitions, semantic consistency) that generalize across business domains.
• Strong business acumen and ability to proactively propose analyses.
• Exposure to supply chain, manufacturing, or quality analytics is a plus but not required; Sales & Finance domain depth is the priority.
• Working knowledge of Python for data automation, scripting, and analysis is a plus.
• Comfort applying AI-assisted techniques (e.g., anomaly detection, driver analysis, AI-assisted query/code generation) to accelerate analytics work.

Responsibilities

• Sales & Finance revenue analytics and decision enablement (first 6 months priority).
• Partner with Sales and Finance to build a differentiated sales analytics product that improves decision-making on revenue drivers (pricing/discounting, mix, customer/segment performance, channel).
• Create executive-ready insight narratives and repeatable analytic 'decision frameworks' (driver trees, leading indicators, KPI hierarchies).
• Integrate and reconcile new sources beyond ERP (e.g., customer POS feeds, CRM, external/industry signals, customer master enrichment, spreadsheets) into governed analytical datasets.
• Expansion domains: Supply Chain, Manufacturing & Quality (year-one roadmap).
• Extend certified-dataset and semantic-layer approach to additional functional domains, sequenced and prioritized jointly with IT and business leadership.
• Supply Chain: inventory, fulfillment, and demand-planning analytics from JDE and related systems.
• Manufacturing: production throughput, downtime, and cost/efficiency analytics.
• Quality: defect and scrap trends, supplier quality performance, corrective-action tracking (SQL Server-based data).
• Data across domains lives in multiple SQL-based systems — consistent modeling and reconciliation practices across sources will be essential.
• Analytics engineering: data products, semantic layer, and standardized metrics.
• Design and own curated analytics datasets and reusable dimensional models that become a 'single source of truth' across domains in scope.
• Establish and enforce consistent KPI definitions via a metrics/semantic layer approach (define metrics once, reuse everywhere).
• Implement testing, documentation, and data-quality practices so stakeholders trust and adopt analytics outputs.
• Self-service enablement & analytics democratization.
• Reduce ad-hoc reporting by delivering certified datasets, templates, and clear consumption patterns for safe self-service.
• Establish training/enablement (office hours, best-practice templates, 'how to use' documentation) and analytics community rituals.
• Contribute to the Analytics Community of Practice.
• Contribute to the design of an Analytics COE operating model focused on standards, adoption, and scalable enablement.
• Partner with IT leadership to shape a 12–18-month roadmap for analytics capabilities across the domains in scope.
• Modern tooling & innovation (governed).
• Implement analytics CI/CD patterns (version control, release discipline, peer review) to scale reliably.
• Apply AI-assisted techniques (anomaly detection, driver analysis, AI-assisted query/code generation) to accelerate analytics delivery.
• Work within an AI-enabled analytics environment, governed under Group Responsible AI Policy.

Skills

Relational databases

SQL proficiency

SCRUM/Agile

Tools

Power BI

Analysis Services

Microsoft Fabric

Azure Data Factory

Snowflake

Databricks

Job description

ASSA ABLOY Group is seeking an experienced analytics leader to build a modern analytics practice in Phoenix, delivering revenue-focused analytics across Sales, Finance, and expanding to Supply Chain, Manufacturing, and Quality. You will design reusable data products, semantic layer, and standardized metrics to enable self-service insights.

You\'ll lead a team, partner with IT and business leaders, implement data quality, CI/CD analytics, and AI-assisted techniques to accelerate time-to-insight