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Data Consultant

What’s involved

Where to Study

What to Study

Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality.

Qualifications

Every career requires an element of study and academic qualification, and there can be several study routes and pathways you can take. In following any academic pathway you will study subjects that contribute to the specialised knowledge required to achieve your career goals. These qualifications provide a future employer with the evidence that you have the desired knowledge, understanding and experience of their industry, so it’s important to consider the various types of qualifications available to you and to understand how they can boost your career and create opportunities for you.

B.Sc. Mathematics
B.Tech Mathematics and Computing Engineering
M.Sc. Mathematics
Ph.D. Mathematics

Tasks

Examine data, processes and technologies to evaluate current state and critical problems.
Research and make recommendations about training, equipment and technology to improve data use.
Create automated data reports to inform business units, including documentation.
Train and mentor teams in data input, use, meaning and analysis.
Data management, data warehousing, data integration, data migration, business intelligence, analytics, and project delivery across advisory and technical delivery projects
Examine data, processes, and technologies to evaluate the current state and critical problems for both internal business functions and external client projects
Research and make recommendations about training, equipment, and technology to improve data use
Create automated data reports to inform business units, including documentation, toolkits, and FAQ guides
Train and mentor teams in data input, use, meaning, and analysis
Support of operational development and lead / participate in functional design workshops

Progression Routes

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