Senior Data Warehouse Developer

Psybergate; Centurion; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Psybergate is seeking a seasoned Data Warehouse Analyst to join our Centurion team. You will gather and translate business needs into data requirements, design data models, and ensure data quality across sources.

You will develop ETL processes and build interactive dashboards with Tableau, Power BI, or Looker, communicating insights to both technical and non-technical audiences. A strong foundation in SQL and data warehousing is required.

Qualifications

• Bachelor's degree or equivalent experience in a quantitative field.
• 5-8 years of experience in Data Warehouse analysis.
• 5 years’ experience in data modelling in a Data Warehouse.
• Strong understanding of data warehousing concepts, ETL processes, and data modelling techniques.
• Proficiency in SQL and experience with relational databases.
• Experience with at least one BI visualization tool (Tableau/Power BI/Looker).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to work independently and as part of a team.
• Experience with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) is a plus.
• Experience with scripting languages (Python, R) is a plus.
• Knowledge of statistical methods and techniques is a plus.

Responsibilities

• Collaborate with stakeholders to translate business needs into data and reporting requirements.
• Identify, collect, and clean data from various sources ensuring data accuracy and integrity.
• Contribute to the design and maintenance of data models and data warehouses.
• Develop and maintain ETL processes to move data to the data warehouse.
• Conduct in-depth data analysis to identify trends and insights for decisions.
• Design, develop, and maintain dashboards and reports using BI tools to visualize data.
• Monitor performance of BI solutions and identify improvements.
• Create and maintain documentation for data sources, ETL processes, reports and dashboards.
• Communicate findings and recommendations to stakeholders at all levels.
• Stay up-to-date with BI trends and mentor junior analysts.

Skills

SQL

Analytical thinking

Communication skills

Teamwork

Education

Bachelor's degree in Computer Science / Statistics / Mathematics / Business Analytics

Tools

Tableau

Power BI

Looker

Job description

What you will be doing:

• Requirements Gathering: Collaborate with stakeholders to understand business needs and translate them into specific data and reporting requirements.
• Data Collection & Preparation: Identify, collect, and clean data from various sources (e.g., databases, CRM systems, web analytics) ensuring data accuracy and integrity.
• Data Modeling & Warehousing: Contribute to the design and maintenance of data models and data warehouses, optimizing for performance and scalability.
• ETL Processes: Develop and maintain ETL (Extract, Transform, Load) processes to move data from source systems to the data warehouse.
• Data Analysis & Interpretation: Conduct in-depth data analysis to identify trends, patterns, and insights that can inform business decisions.
• Report & Dashboard Development: Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to visualize data and communicate findings effectively.
• Performance Monitoring: Monitor the performance of BI solutions and identify areas for improvement.
• Documentation: Create and maintain documentation for data sources, ETL processes, reports, and dashboards.
• Collaboration & Communication: Effectively communicate findings and recommendations to stakeholders at all levels, including technical and non-technical audiences.
• Continuous Learning: Stay up-to-date with the latest BI trends, tools, and techniques.
• Mentorship: Mentor junior analysts and provide guidance on best practices.

What we are looking for

• Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Business Analytics) or equivalent experience.
• 5 - 8 years of experience in Data Warehouse analysis.
• 5 years’ experience in data modelling in a Data Warehouse.
• Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
• Proficiency in SQL and experience working with relational databases.
• Experience with at least one BI visualization tool (e.g., Tableau, Power BI, Looker).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to work independently and as part of a team.
• Experience with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) is a plus.
• Experience with scripting languages (e.g., Python, R) is a plus.
• Knowledge of statistical methods and techniques is a plus.

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.