Job Summary
As a data enthusiast you will be involved in data analysis, visualisation, and processing of large amounts of data. You will make use of data for companies to make wise business decisions and also perform queries on the databases continuously. Kindly note that all candidates will be trained.
- Minimum Qualification : Certificate
- Experience Level : Mid level
Job Description/Requirements
• Understand and translate business needs into data models supporting long-term solutions.
• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.
• Optimise and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical and physical data models along with corresponding metadata.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Validate business data objects for accuracy and completeness.
• Analyse data-related system integration challenges and propose appropriate solutions.
• Experience in data modelling principles/methods including conceptual, logical & physical data models
• Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.
• Review modifications to existing software to improve efficiency and performance.
• Examine new application design and recommend corrections if required.
• Experience with data modelling tools such as Erwin, Er/Studio, IBM IDA or Visio will be a plus
Job Requirements:
• Certificate or diploma in IT, computer science, Engineering, any other relevant field. Self-taught Candidates are also welcome.
• A minimum of one year experience in a similar role is an added advantage
• Strong knowledge of database structure systems and data mining.
• Excellent organisational and analytical abilities
• Outstanding problem solver
• Excellent Communication and presentation skills.
• Strong Interpersonal skills.
• Analyse problems as assigned and provide solutions to address business needs
• Must be able to work effectively as an individual and in a team environment
• Understanding of project management concepts and techniques required
• Establish and maintain good working relationships both within the development team and the wider organisation
Technical Skills
●Proficiency in data modelling tools such as Erwin,ER/Studio or similar.
●Strong SQL skills for database querying and schema design.
●Experience with database management systems like Oracle, SQL Server, or MySQL
●Proficiency in programming languages such as Python.
●Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
●Experience in data warehousing tools like Amazon Redshift, Snowflake, etc.
●Proficiency in Microsoft Excel for data manipulation and analysis.
●Familiarity with data visualisation tools like Tableau, Power BI, or similar.
●Basic knowledge of statistical software (e.g., SAS, SPSS).
●Expertise in data modelling, database design, and data architecture.
●Proficiency in SQL and NoSQL databases.
●Experience with data integration tools and ETL processes.
What we Offer:
●Mentorship & Training: Opportunities for learning and development under the guidance of experienced professionals.
●Career Growth:Potential for growth within the company based on performance.
●Work Environment:A collaborative and supportive work culture.
●Benefits: Competitive salary and benefits package.
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