Sales Analytics Engineer: Data Products & COE Lead

Record UK Ltd; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

ASSA ABLOY Group seeks a Data Analytics Engineer to build revenue-focused analytics using ERP and non-ERP sources, creating reusable datasets and a semantic layer. The role leads analytics COE initiatives and delivers standardized metrics, with a focus on self-service, governance, and scalable enablement.

You will partner with Sales and Finance to drive pricing insights, revenue drivers, and KPI hierarchies, while mentoring a data engineering team and implementing modern data-product patterns in

Qualifications

• 8–10+ years in analytics/BI/data roles with evidence of business impact
• Expert SQL and strong data modeling for facts/dimensions
• Proven ability to create reusable analytics assets and semantic consistency
• Strong business acumen and proactive analytical thinking
• Ability to mentor and lead technically (player/coach)

Responsibilities

• Partner with Sales and Finance to build a differentiated sales analytics product
• Create executive-ready insight narratives and repeatable analytic frameworks
• Integrate non-ERP signals into governed analytical datasets
• Design and own curated analytics datasets and reusable dimensional models
• Establish and enforce consistent KPI definitions via a metrics/semantic layer
• Reduce ad-hoc reporting by delivering certified datasets, templates, and consumption patterns
• Lead the Analytics COE with a 12–18 month roadmap and adoption goals
• Implement analytics CI/CD practices to scale reliably

Skills

SQL

Data modeling

Stakeholder engagement

Mentoring/lead technically

SCRUM experience

Education

Bachelor's degree in a relevant field

Tools

SAP BI

QlikView

Cognos

SSIS

MS SQL Server

Job description

ASSA ABLOY Group seeks a Data Analytics Engineer to build revenue-focused analytics using ERP and non-ERP sources, creating reusable datasets and a semantic layer. The role leads analytics COE initiatives and delivers standardized metrics, with a focus on self-service, governance, and scalable enablement.

You will partner with Sales and Finance to drive pricing insights, revenue drivers, and KPI hierarchies, while mentoring a data engineering team and implementing modern data-product patterns in