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Data Modeler and Analyst
2 months ago
PBT Group is seeking a highly skilled Senior Data Modeler to join our team. As a Senior Data Modeler, you will be responsible for designing and implementing data models that effectively capture, integrate, and display corporate data.
Key Responsibilities- Design and Implement Data Models: Develop comprehensive logical and physical data models to support business intelligence and data warehousing solutions.
- Collaborate with Stakeholders: Work closely with key stakeholders to translate business requirements into robust scalable data architectures.
- Conduct Data Analysis: Conduct detailed data analysis to design the data model for the data warehouse or BI solution.
- Define Project Requirements: Participate in defining project requirements by working closely with Business Analysts and other stakeholders.
- Support Business Requirements: Assist ETL Analysts and Business Analysts in defining source-to-target data mappings and support business requirement definition activities.
- Review and Evaluate Data Models: Review and evaluate data models developed by others, ensuring integration and alignment with company standards.
- Ensure Data Integrity: Ensure the integrity, accuracy, and completeness of data models.
- Extensive Knowledge: Extensive knowledge of existing corporate data models and the business environment.
- Proficiency in Data Modeling: Proficiency in traditional and modern data modeling techniques, including normalized, dimensional, and multi-dimensional modeling.
- Experience in Data Warehousing: Experience in full life cycle data warehousing projects is essential.
- Understanding of Data Architectures: Understanding of data warehousing, data mart architectures, and front-end data analysis/reporting tools.
- Strong Attention to Detail: Strong attention to detail, ensuring precision in the data modeling process.
- Proficient in SQL: Proficient in conceptual, logical, and physical data modeling, as well as strong SQL querying skills and familiarity with DBMS tuning.
- Training in Data Modeling: Training in data warehouse design methodologies and data modeling (both normalized and dimensional).
- Experience with Data Modeling Tools: Experience with industry-standard data modeling tools.
- Education: B.Sc. in Computer Science, Information Systems, Business Administration, Commerce, or a related field is advantageous.
The ideal candidate will have a proactive approach to data modeling, capable of anticipating future needs and challenges. They should be meticulous in their work and possess the ability to engage with and understand complex business requirements to develop effective data management solutions.