Senior Data Intelligence Analyst – Databricks & Enterprise Reporting

Support the evolution of Albemarle’s analytics landscape beyond traditional enterprise reporting by helping define and establish how Databricks and AI-powered analytics capabilities are implemented at scale across Finance and Supply Chain.

Role Overview

This is a senior, enterprise-facing analytics architecture and AI enablement role within Albemarle’s Corporate Reporting & Analytics CoE.

We are in the early stages of building our Databricks environment and advancing AI-driven analytics capabilities. As a result, this role will play a critical part in helping define the frameworks, standards, and practical use cases that will shape our future-state analytics ecosystem.

Today, our analytics landscape includes Power BI, Celonis, SAP S/4, SAP BW, and BOBJ. Databricks is a newly enabled capability, and we are looking for someone with strong hands-on experience to guide how it should be used effectively alongside emerging AI-powered analytical solutions.

You will partner across Finance, Supply Chain, and IT to define how data is structured, modeled, and used — guiding Databricks pipeline design while IT owns build and delivery. The focus is on data modeling, analytics design, and scalable AI-enabled insights that will evolve with the platform.

What You’ll Build / Own

- Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities
- Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks
- Standardized business logic, definitions, and transformations across Finance and Supply Chain
- Curated analytics-ready datasets and semantic models for Power BI and AI use cases
- AI-enabled analytics capabilities, helping define initial use cases and scalable patterns (Copilot, Databricks, NLP)
- Standards and documentation for data modeling, reporting, and AI readiness
- Cross-functional alignment between business and IT on data structures, pipeline design, and analytics use cases

Core Responsibilities

Data Architecture & Analytics Design
- Define and design data pipelines and transformations in Databricks in partnership with IT
- Translate business requirements into scalable data models and pipeline specifications
- Ensure alignment between SAP, Databricks, and Power BI reporting layers
- Bring hands-on Databricks experience to prototype, validate, and guide design decisions in an evolving environment

AI & Analytics Innovation
- Design and enable AI-powered analytics solutions (Copilot, natural language querying)
- Help shape how AI-powered analytics solutions are introduced, tested, and scaled within the enterprise

Business Intelligence & Reporting
- Develop and maintain Power BI dashboards using DAX and enterprise data models
- Define and govern semantic layers and reporting standards

Stakeholder Engagement
- Act as a bridge between business stakeholders and IT engineering teams
- Communicate insights and architecture decisions to leadership

Required Skills

- 5+ years in data analytics or BI in an enterprise environment
- Strong, hands-on experience with Databricks (early-stage or evolving environments)
- Proficiency in Python and SQL
- Deep expertise in Power BI
- Experience partnering with IT on pipeline design
- Hands-on experience with AI/ML or AI-powered analytics solutions
- Working knowledge of SAP data environments

Why This Role is Different

- Early-stage build — help define the future-state analytics and AI ecosystem
- Enterprise scope across Finance and Supply Chain
- AI-first focus using Databricks and Copilot
- High visibility and influence on architecture decisions

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