ASSA ABLOY Door Security Solutions

Data Analytics Engineer

Business Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-10+ years in analytics/BI/data roles demonstrating business impact.
  • Expert in SQL with strong data modeling skills.
  • Ability to build reusable analytics assets and maintain semantic consistency.
  • Strong business acumen with proactive analysis proposal skills.
  • Experience mentoring and leading teams, capable of guiding a data engineer.

Responsibilities

  • Partner with Sales and Finance to create a unique sales analytics product.
  • Develop executive-ready insight narratives and decision frameworks.
  • Integrate diverse data sources into governed analytical datasets.
  • Design and maintain curated datasets that serve as a single source of truth.
  • Establish consistent KPI definitions and uphold data quality standards.
  • Facilitate self-service analytics through certified datasets and training.
  • Lead the Analytics Community of Practice, managing a multi-year roadmap.

Benefits

  • Opportunity to lead the analytics practice in a modern, innovative environment.
  • Direct impact on sales decisions and company growth.
  • Access to modern analytics tools and techniques.
  • Involvement in the community of practice for ongoing professional development.
  • Training and enablement programs to enhance team capabilities.
Full Job Description
We're building a modern analytics practice that goes beyond dashboards. This role will create revenue-focused sales analytics using ERP + non-ERP sources (customer POS, CRM, industry data, spreadsheets, and other structured/unstructured sources), and will establish reusable analytics foundations (certified datasets, standardized metrics, semantic layer) that reduce ad-hoc reporting and democratize insight generation.

This is an in-office position in Phoenix, Arizona.

ESSENTIAL FUNCTIONS & RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential function satisfactorily:

A) Sales revenue analytics & 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 (e.g., 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.

B) 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" for Sales and Finance analytics.
  • 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 the analytics outputs.

C) Self-service enablement & analytics democratization
  • Reduce ad-hoc reporting by delivering certified datasets, reusable templates, and clear consumption patterns that allow business users to self-serve safely.
  • Establish training/enablement (office hours, best-practice templates, "how to use" documentation) and analytics community rituals.

D) Lead the Analytics COE / Community of Practice (roadmap ownership)
  • Build an Analytics COE operating model that is not a report factory and not a help desk-focused on standards, adoption, and scalable enablement.
  • Produce and manage a 12 to 18-month roadmap for analytics capabilities (platform patterns, data products, priority domains, adoption metrics).

E) Modern tooling & innovation (governed)
  • Implement analytics CI/CD patterns (e.g., version control, release discipline, peer review) to scale reliably.
  • Introduce modern techniques/tools where they improve time-to-insight and adoption, including governed AI-assisted analytics experiences supported by trusted semantic metrics.


QUALIFICATIONS

The requirements listed below are representative of the knowledge, skills, and/or abilities required for this position.

Education and/or Experience:
  • 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 (not just take requirements).
  • Ability to mentor and lead technically (player/coach) and guide a data engineer.


What success looks like (6 months)
  1. A Sales revenue analytics capability that integrates non-ERP signals and is actively used by Sales leadership for pricing/revenue decisions.
  2. Measurable reduction in ad-hoc reporting through certified datasets, templates, and defined intake/triage patterns.
  3. A functioning Analytics COE/Community of Practice with an agreed 12-18-month roadmap and adoption goals.


Computer Skills
  • Proficiency in MS Office
  • A 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.
  • Proficiency in word processing, spreadsheets, email and order processing software;
  • 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. SCRUM experience and certification is a plus.


Language Ability
  • For business and safety reasons, 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.


PHYSICAL DEMANDS

Physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the job.

While performing the functions of this position, the employee is frequently required to sit, stand, walk, stoop and kneel; use hands, reach with hands and arms; communicate clearly and effectively. The employee may also be frequently required to lift up to 10 pounds.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this position.

The noise level in the work and shop environment is moderate to loud.

While performing the duties of this position the employee may occasionally be required to work near fumes or airborne particles and toxic or caustic chemicals. The employee may also be required to work near moving mechanical parts.

About ASSA ABLOY Door Security Solutions

ASSA ABLOY Door Security Solutions is a division of ASSA ABLOY, the global leader in access solutions. The company provides a wide range of door security and safety solutions for commercial and institutional customers. Its products include locks, door closers, exit devices, electromechanical products, and access control systems. ASSA ABLOY Door Security Solutions operates in North America and has manufacturing facilities in the United States and Canada. The company is committed to sustainability and has implemented various initiatives to reduce its environmental impact.
Learn more about ASSA ABLOY Door Security Solutions
Size
50,000 employees
Industry
Founded
1992

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