Senior Manager, Analytics & BI Engineering

Job not on LinkedIn

🔥 47 minutes ago

🌵 Arizona, California, +9 more states – Remote

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💵 $137.5k - $185.6k / year

⏰ Full Time

🟠 Senior

📊 Business Intelligence Developer

👻 Ghost score 0%

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Logo of Deckers Brands

Deckers Brands

1001 - 5000 employees

Founded 1973

🏭 Manufacturing

📦 Logistics

👗 Fashion

Manufacturing • Logistics • Fashion

Deckers Brands is a global leader in designing, marketing, and distributing innovative footwear, apparel, and accessories. Known for its high-quality products and trendsetting designs, Deckers Brands encompasses a portfolio of well-known brands that appeal to diverse consumer segments worldwide.

📋 Description

• Own the semantic layer as the engineered source of enterprise metric definitions • Implement and technically certify enterprise metric definitions across reporting assets • Resolve conflicting metric definitions across brands and business functions • Own metric and report-level quality, reconciliation, definition consistency, and certification criteria • Ensure correctness, performance, and maintainability of reporting assets • Define and enforce engineering standards for metrics and reporting • Own workspace structure, content organization, dataset certification and promotion, access, and security • Manage and mentor analytics engineers, BI developers, and analysts • Establish metrics engineering as a defined organizational craft with standards and career paths • Build the delivery model and intake process for metrics and reporting work • Lead analytics and reporting services for business areas using certified metrics • Build analytics capability within business functions and define transition paths for analytics ownership • Direct the external business intelligence delivery bench, including capacity planning, work allocation, quality review, and partner performance management • Supply metrics and reporting engineering capability to cross-functional data product teams • Build and maintain reusable semantic models and reporting delivery patterns

🎯 Requirements

• Bachelor’s degree required, preferably in Computer Science, Engineering, Information Systems, or a related technical field • 8–12 years of experience building enterprise metrics, reporting, and business intelligence solutions • 3–5+ years leading analytics engineering, BI engineering, or reporting teams • Hands-on experience owning an enterprise reporting platform such as Power BI, Tableau, Looker, or Qlik • Experience with content governance, dataset certification, row-level security, and performance tuning • Experience with semantic layer or OLAP modeling technology such as AtScale, dbt Semantic Layer, Cube, LookML, or Analysis Services • Experience directing external delivery partners or contractor benches, including capacity planning, work allocation, and quality management • Experience leading an analytics or insights team that serves business functions directly • Experience building analytics capability within business functions and transitioning ownership is preferred • Experience with cloud data platforms, preferably AWS, and dbt-modeled data • Expertise in dimensional modeling, semantic modeling, and metric definition • Proficiency in SQL and a BI calculation language such as DAX or MDX • Strong understanding of enterprise BI platform architecture, content governance, and performance optimization • Ability to create reusable patterns and standards that scale delivery across internal and partner teams • Strong delivery partner and contractor management skills, including capacity planning and quality control • Strong leadership and people-management skills • Ability to operate within a governance model owned by others while enforcing engineering standards • Ability to balance speed, quality, and operational stability • Excellent problem-solving, analytical thinking, and decision-making skills • Strong communication and influencing skills across technical and business stakeholders • Comfortable working in a fast-paced, matrixed, and global environment

🏖️ Benefits

• Competitive compensation programs and bonuses • Financial planning and wellbeing programs • Income protection, expense support, and investment plans • Time away from work and paid time off support • Generous employee discounts • Community-based programs • Personal and professional development opportunities • Health and wellness programs and offerings

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