The Data Modeler will develop and maintain enterprise data models (conceptual, logical, and physical) supporting operational, analytical, and integration requirements across the organization.
Responsibilities
Analyse source systems, databases and datasets to understand data structures, relationships, semantics and usage
Design, develop and maintain conceptual, logical and physical data models
Translate business and functional requirements into normalised (OLTP), dimensional (OLAP) and integration-oriented data models
Collaborate with business, architecture, data engineering and application teams to understand data flows and integration requirements
Support data engineering and application teams by analysing data-model-related issues and improving schema designs
Develop custom software solutions using SAP BusinessObjects Data Services (BODS) and AI-native techniques to build intelligent, scalable data pipelines.
Responsibilities
Design, develop, and operate BODS data integration jobs
Own and continuously improve the vision, roadmap, priorities and success measures for assigned Energy Assets data products, embedding data governance across products built on the EDP (Databricks) platform.
Responsibilities
Own and continuously improve the vision, roadmap, priorities and success measures for assigned Energy Assets data products
Embed strong data governance across products built on the EDP (Databricks) platform
Partner with business leaders, data owners, SMEs and consumers to translate operational priorities into clear product outcomes
Prioritise product backlogs, enhancements, data quality improvements and issue remediation based on value, risk, urgency and business impact
Work closely with Data Engineering, Architecture, Technology and platform teams to deliver secure, scalable and reusable data products
Requirements
Relevant tertiary qualifications or equivalent professional experience
Lead data analysis, modeling, and program management within the Insights, Data Engineering & Analytics organization to ensure accurate and efficient data delivery.
Compensation
Starting base salary: $77,000 - $143,000 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.
Responsibilities
Lead data analysis via data discovery, exploration, investigation, and impact assessments
Conduct and lead data profiling and data preparation
Validate data against requirements and success criteria
Model data with Entity Relationship diagrams and data flow diagrams
Research business processes and document data inconsistencies
Lead Data Management & BI initiatives across finance, credit, operations, sales, and compliance within Daimler Financial Services Mexico.
Responsibilities
Define and execute local Data Management strategy aligned with business objectives
Lead reporting, analytics, and automation initiatives using Power BI, SQL, Python, Data Warehouse solutions, and Microsoft Power Platform
Establish and strengthen data governance practices
Partner with business and IT teams to translate requirements into scalable data solutions
Support strategic initiatives including system migrations, reporting transformations, data warehouse evolution, automation projects, and audit-related improvements
Requirements
Bachelor’s degree in Actuarial Science, Mathematics, Computer Science, Engineering, Finance, Business Administration, Economics, Information Systems, or a related field
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