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Reporting and Business Analytics Lead

Job in Hopewell, Virginia, 23860, USA
Listing for: AdvanSix
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below

Advan Six plays a critical role in global supply chains, innovating and delivering essential products for our customers in a wide variety of end markets and applications that touch people’s lives, such as building and construction, fertilizers, plastics, solvents, packaging, paints, coatings, adhesives, and electronics. Our reliable and sustainable supply of quality products emerges from the vertically integrated value chain of our three U.S. based manufacturing facilities.

Advan Six strives to deliver best‑in‑class customer experiences and differentiated products in the industries of nylon solutions, chemical intermediates, and plant nutrients, guided by our core values of Safety, Integrity, Accountability and Respect.

Please view a short video about our company here, Advan Six Video. For more information on Advan Six, please visit our website at

Why work at Advan Six?

• We provide benefits that are industry competitive and focused on employee well‑being

• Total Rewards program includes a competitive compensation, health, dental, vision & wellness programs, paid vacation, 401K with company matching, health savings programs, disability & life insurance, employee assistance program

• Tuition reimbursement for continued education, certifications, training, and development

• Work within a fast paced and innovative company, meeting passionate colleagues and partners with diverse backgrounds and experiences

The Reporting & Business Analytics Lead owns Advan Six’s enterprise reporting and decision‑intelligence layer across the organization. This leader turns governed data into trusted stories, KPIs, and self‑service analytics, driving adoption, action, and measurable business outcomes.

Responsibilities Strategy & product leadership
  • Own the enterprise reporting strategy and roadmap aligned to business OKRs and the Enterprise Data Strategy.
  • Translate business goals into data products (semantic models, dashboards, scorecards) with explicit owners, SLAs, and adoption plans.
  • Define and maintain KPI canon and metric reconciliation rules with Finance, Operations, Supply Chain, Health/Safety/Environmental, and Commercial.
Delivery & portfolio management
  • Run an agile delivery cadence (sprint planning, demos, releases) for analytics products and executive reporting.
  • Prioritize a transparent backlog balancing quick wins and foundational work (performance, quality, reusability).
  • Lead UAT, certification, and release management for reports/datasets.
Data storytelling & adoption
  • Craft executive‑ready narratives that connect insights to actions; enable leaders to “see, decide, act.”
  • Establish enablement for power/basic users; publish “How we measure” guides and KPI storyboards.
  • Track adoption and value: MAU, query volume, decision cycle time, realized impact (e.g., scrap, demurrage, energy).
Architecture & engineering partnership
  • Co‑design semantic models atop the Unified Data Layer and SAP Data Sphere; enforce modeling standards, RLS, data contracts, and naming conventions.
  • Ensure BI assets avoid direct system scraping and use governed, certified datasets and APIs.
Vendor & team leadership
  • Manage embedded vendor pods (direct Stefanini (Power BI developers) for dashboard development and Aavale (Data Sphere modelers) for SAP semantic layer work); set SOW goals, DoD/acceptance criteria, and quality gates.
  • Build a small internal bench (BI architect/engineer) and mentor citizen developers under Power Platform CoE guardrails (DLP/ALM).
Governance & quality
  • Partner with Data Governance & MDM to embed stewardship, lineage, data quality rules, KPI canon, and access controls.
  • Define performance SLAs, test coverage, and observability (refresh, latency, cost, failures) for BI/analytics.
Security, compliance & risk
  • Enforce role‑based access, RLS, and DLP policies; ensure PII/HSE data handling aligns with policy.
  • Coordinate with Cyber/IT on environment strategy, gateways, and change control.
Basic qualifications
  • Minimum 8 years’ in enterprise BI/analytics with minimum 3 years’ leading cross‑functional analytics programs.
  • Previous experience in a manufacturing environment or industry
  • Tool and Stack requirements: SAP S/4

    HANA data structures, SAP Data Sphere,…
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