The Job

Data Analytics Engineer

Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Engineering · Business Intelligence

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In short

We are looking for a Data Analytics Engineer to build revenue-focused sales analytics using diverse data sources and establish reusable analytics foundations. This role involves creating a differentiated sales analytics product, designing curated datasets, and reducing ad-hoc reporting through self-service enablement. The position also requires leading an Analytics COE and implementing modern tooling with a focus on governed AI-assisted analytics.

Responsibilities

  • Partner with Sales and Finance to build a differentiated sales analytics product that improves decision-making on revenue drivers.
  • Create executive-ready insight narratives and repeatable analytic “decision frameworks”.
  • Integrate and reconcile new sources beyond ERP 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 approach.
  • Implement testing, documentation, and data-quality practices.
  • Reduce ad-hoc reporting by delivering certified datasets, reusable templates, and clear consumption patterns.
  • Establish training/enablement and analytics community rituals.
  • Build an Analytics COE operating model focused on standards, adoption, and scalable enablement.
  • Produce and manage a 12 to 18-month roadmap for analytics capabilities.
  • Implement analytics CI/CD patterns.
  • Introduce modern techniques/tools where they improve time-to-insight and adoption.

Requirements

  • 8–10+ years in analytics/BI/data roles with evidence of business impact and cross-functional partnership.
  • Expert SQL + strong data modeling (facts/dimensions; performance-aware).
  • Proven ability to create reusable analytics assets (certified datasets, metric definitions, semantic consistency).
  • Strong business acumen and ability to proactively propose analyses.
  • Ability to mentor and lead technically (player/coach) and guide a data engineer.
  • Proficiency in MS Office
  • Strong relational database knowledge is a must.
  • MS SQL Server 2008/2012/2014 development.
  • Understanding of reporting tools: SAP Business Objects XI, Cognos, QlikView, etc.
  • MS Analysis Services development
  • Knowledge of SSIS, store procedures, triggers, and performance tuning.
  • Strong knowledge and experience in the Software Development Life Cycle.
  • Ability to write reports and business correspondence in English and effectively present information and respond to questions from groups of managers, clients, customers, technicians, and assemblers in English.

Desired Qualifications

  • Background experience on SAP Business Objects, QlikView or Cognos, as well as knowledge of SharePoint, Access and JDE Enterprise One 9.0 is highly desirable.
  • SCRUM experience and certification is a plus.

Benefits

  • Opportunity to build a modern analytics practice.
  • Global leader in access solutions.
  • Empowerment to build career around aspirations.
  • Support with regular feedback, training, and development opportunities.
  • Encouragement to grow role locally, regionally, or internationally.
  • Value diverse, inclusive teams and different perspectives and experiences.
#Data Analytics#Sales Analytics#Business Intelligence#Data Engineering#SQL#Data Modeling#Analytics COE
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Company

ASSA ABLOY Group

Job Posted

1 week ago

Expires

in 1 month

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Phoenix, United States

Applicants

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