Data Analytics Engineer

# Data Analytics Engineer 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, Qlik View 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…