Data Analytics Engineer

ASSA ABLOY Opening Solutions

Data Analytics Engineer building revenue-focused sales analytics and governed data products for ASSA ABLOY, a global access-solutions leader. Leading semantic metrics, self-service enablement, and an Analytics COE roadmap in Phoenix.

Posted 8/10/2026full-timePhoenix • Arizona • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics and business intelligence, with a strong focus on SQL, data modeling, and the creation of reusable analytics assets. Proven ability to mentor and lead teams while driving impactful decision-making through data-driven insights.

Highest-signal resume keywords

Expert SQLData ModelingAnalytics CI/CD PatternsSAP Business ObjectsStrong Business Acumen

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality PracticesCertified DatasetsMetric DefinitionsRelational Database KnowledgeMS SQL Server DevelopmentSSISStored ProceduresPerformance TuningSoftware Development Life CycleSCRUM

Soft Skills

MentoringTechnical LeadershipProactive Analysis ProposalEffective Presentation

Tools & Technologies

MS OfficeQlikViewCognosSharePointAccessJDE Enterprise One 9.0MS Analysis Services

Certifications & Qualifications

SCRUM Certification

Industry Keywords

Sales AnalyticsKPI DefinitionsAnalytics COEExecutive Insight NarrativesCross-Functional Partnership

Tech Stack

Tools & technologies

CognosERPMS SQL ServerSDLCSQLSSIS

About the role

Key responsibilities & impact

Partner with Sales and Finance to build sales analytics that improves decision-making on pricing, discounting, mix, customer/segment performance, and channel.
Create executive-ready insight narratives and repeatable analytic decision frameworks.
Integrate and reconcile ERP and non-ERP sources, including customer POS feeds, CRM, external/industry signals, customer master enrichment, and spreadsheets.
Design and own curated analytics datasets and reusable dimensional models as a single source of truth for Sales and Finance analytics.
Establish consistent KPI definitions through a metrics/semantic layer approach.
Implement testing, documentation, and data-quality practices.
Deliver certified datasets, reusable templates, and clear consumption patterns for safe self-service.
Establish training and enablement through office hours, best-practice templates, documentation, and analytics community rituals.
Build an Analytics COE operating model focused on standards, adoption, and scalable enablement.
Produce and manage a 12–18-month analytics capabilities roadmap.
Implement analytics CI/CD patterns, including version control, release discipline, and peer review.
Introduce governed modern tools and AI-assisted analytics experiences supported by trusted semantic metrics.
Mentor and technically lead as a player/coach and guide a data engineer.

Requirements

What you’ll need

8–10+ years in analytics/BI/data roles with evidence of business impact and cross-functional partnership
Expert SQL and strong data modeling, including facts, dimensions, and performance awareness
Ability to create reusable analytics assets, including certified datasets, metric definitions, and semantic consistency
Strong business acumen and ability to proactively propose analyses
Ability to mentor and lead technically as a player/coach and guide a data engineer
Proficiency in MS Office
Background experience with SAP Business Objects, QlikView, or Cognos highly desirable
Knowledge of SharePoint, Access, and JDE Enterprise One 9.0 highly desirable
Proficiency in word processing, spreadsheets, email, and order processing software
Strong relational database knowledge
MS SQL Server 2008/2012/2014 development
Understanding of reporting tools such as SAP Business Objects XI, Cognos, and QlikView
MS Analysis Services development
Knowledge of SSIS, stored procedures, triggers, and performance tuning
Strong knowledge and experience in the Software Development Life Cycle
SCRUM experience and certification is a plus
Ability to write reports and business correspondence in English
Ability to effectively present information and respond to questions from managers, clients, customers, technicians, and assemblers in English
Ability to frequently sit, stand, walk, stoop, kneel, use hands, and reach with hands and arms
Ability to lift up to 10 pounds occasionally
Ability to work in a moderate-to-loud noise environment and near fumes, airborne particles, toxic or caustic chemicals, and moving mechanical parts

Benefits

Comp & perks

Regular feedback, training, and development opportunities
Opportunities to grow the role locally, regionally, or internationally
Diverse and inclusive teams
Travel required: 0%-10%