Director of Data and Analytics
Listed on 2026-06-03
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst
“Let goodness, fairness, and most importantly, love prevails in business; profits will inevitably follow.” – NK Chaudhary, founder
NOTE FOR POSITION:
This role will require onsite presence located in Acworth, GA. Applicants that are unable to be onsite for this position will not be considered. The salary range disclosed on this posting will be based on qualifications and experience and will not exceed the listed max range.
We are a fast-growing, design-led B2B home décor and textiles brand with big ambitions. Over the last 12 months, we have revolutionized our technical foundation, investing in Microsoft Dynamics 365 (F&O) and a Microsoft Fabric ecosystem. We are now looking for a seasoned leader to refine our existing infrastructure, optimize our end-to-end data workflows, and bridge the gap between "raw data" and "reliable business intelligence."
This role demands a strong balance of technical depth and operational management. While you must possess expert-level proficiency in data engineering, specifically within the Microsoft Fabric ecosystem and modern data platforms, we also need a leader who is experienced in analytics, data visualization, BI, and translating business needs into analytical solutions. You will be responsible for defining and executing an outcome-based Data & Analytics strategy, building and developing a global team of data engineers, BI developers, and data analysts, and ensuring the company has trusted, scalable, and decision-ready data at every level of the organization.
The ideal candidate is a Fabric-certified or Fabric-trained leader, an exceptional communicator, and a proven people manager who can balance hands‑on technical depth with strategic leadership.
- Tactical
Roadmap:
Develop and execute a multi-year roadmap that aligns data engineering, BI, and advanced insights with business priorities (e.g., inventory efficiency, margin protection, and growth). - Process Standardization: Define what “good” looks like for data reliability, documentation, insight quality, and business impact
- Baseline Maturity: Shift the organization from ad-hoc reporting to repeatable, trusted, decision-ready data products
- Advance Automation: Assess the current-state landscape and define a clear path from foundational reporting to automated, predictive analytics.
- Executive Communication: Serve as the single point of accountability for all data and analytics capabilities, translating technical progress into business-relevant implications across the organization
- Systemic Optimization: Lead the audit and refinement of the existing Fabric environment (Lakehouse, Pipelines, Notebooks) to improve overall performance, stability, and refresh reliability
- Engineering Standards: Set the "gold standard" for architecture, data modeling, testing, and deployment (CI/CD), ensuring the stack is hardened for enterprise-scale growth
- Reduce Manual Effort: Minimize operational risk by standardizing pipelines, refresh processes, and metric calculations
- Automation & Reliability: Systematically identify and eliminate manual reporting and spreadsheet-based workflows through robust automation in PySpark and Fabric
- Proactive Governance: Establish monitoring, alerting, and exception-handling processes to manage data quality and refresh failures before they impact the business
- High-Quality BI Delivery: Oversee the design and delivery of visually appealing Power BI dashboards that simplify complexity and adhere to our design-led brand standards
- Metric Governance: Ensure KPI definitions and reporting logic are consistent across the company, acting as the arbiter of "the truth" for business metrics
- Advanced Analytics: Identify and operationalize high-value use cases for predictive analytics (e.g., demand forecasting, product lifecycle analysis) as platform maturity increases
- Business Translation: Partner with business leaders to translate business requirements into scalable, intuitive, impactful analytics solutions
- Business Evolution: Lead the transition from descriptive and diagnostic…
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