Senior Data Intelligence Analyst – Databricks & Enterprise Reporting

Albemarle is hiring for a Senior Data Intelligence Analyst Databricks & Enterprise Reporting. This position is hybrid and located in Budapest Hungary.

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

What You Will Do:

This is a senior enterprise-facing analyticsarchitectureand AI enablement role within Albemarles Corporate Reporting & Analytics CoE.

We are in theearly stagesof 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 practicalusecases that will shape our future-state analytics ecosystem.

Today our analytics landscape includes Power BICelonis 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 partneracrossFinance 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.

WhatYoullBuild / 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

What You Bring:

- 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

#LI-SZ1