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A prominent company in Gauteng is seeking a skilled Data Analyst to spearhead the development of a centralized Data Warehouse. This role involves analyzing business requirements, designing data models, and ensuring data accuracy and compliance. The ideal candidate will possess a strong background in data visualisation techniques and collaboration with technical teams to drive strategic insights and business metrics.
The Data Analyst plays a pivotal critical role in the development of a centralised Data Warehouse, from analysing the data requirements, translating them into actionable Data Warehouse queries and / or reports, to ensuring that the Data Warehouse always align with the Business Strategy.This role is responsible for analysing business requirements, data modelling an schema design, Dat Extract-Transform – Load, Data Queries – Reporting and Visualisation, Data Analysis and Interpretation, Data Security and Governance, and Collaboration with the Data Strategist and DevOps Engineer in the development and maintenance of the centralised Data Warehouse.Formal Education
Grade 12
Bachelor's Degree in Computer Science, Statistics, or Mathematics.
Preferred : Microsoft DevOps certifications, Microsoft SQL Server and Microsoft SQL Sever Integration Services Certification.
Work Experience
Minimum of 5 - 7 years experience in Data Analysis, Data Modelling, Data Extract – Transform – Load, Data quality assurance and Data cleansing, and Data Visualisation and Reporting.
Prove experience in Data Modelling.
Proven experience in Business Intelligence, reporting, and data visualisation
Proven experience in Data Extraction, Transformation and Load (ETL).
Experience working with MS Power BI, MS SQL Server Integration Services, and MS Power Automate.
Familiarity with agile development environments.
Key Skills and Capabilities
The Data Analyst will use both technical and people skills, including :
Ability to translate Business Strategy and Objectives into Data Requirements.
Ability to function across Business Units and engage with key data stakeholders.
Data exploration and data modelling capabilities.
Technical skills in terms of Data Extraction, Data Transformation and Data Load (ETL).
Data Quality and Data Cleansing Skills.
Strong Data Visualisation Skills, building interactive dashboards, reports, and visuals to provide data insights.
Implement custom visuals, slicers, filters, triggers, and drill-down functionalities.
Data Analytics and Interpretation Skills.
System Development Skills.
Project Management Skills.
Technical and Legal Certifications
MS Power BI
Microsoft SQL Server Integration Services
Microsoft Power Automate
Key Responsibilities
Understanding Business Needs and Requirements
Collaborate closely with key stakeholders to identify data and reporting requirements.
Identify key data elements required to fulfil in business needs.
Data Modelling and Database Schema Design
Design and implement Data Models – using schemas such as Star Schema or Snowflake Schema.
Word with DevOps Engineer in the creation of Data Warehouse, Table structures and views.
Data Extract, Transform and Load
Participate in the Extract, Transform and Load of Data to the Data Warehouse.
Responsible for data cleansing, data accuracy and data integrity.
Perform Data Quality Checks
Data Query, Reporting and Analysis
Retrieve and analyse data from the Data Warehouse.
Construct reports and dashboards to visualise data.
Use statistical methods and data visualisation techniques to extract meaningful insights from the data.
Analyse data to identify trends, patterns, and anomalies.
Implement Key Performance Indicators and Triggers to automate notifications and responses.
Data Security and Governance
Ensure the security and integrity of data stored on the data warehouse.
Assist with implementing data governance policies, and procedures in support of data quality and data compliance.
Collaboration and Communication
Collaborate with Data Strategist and other Key Stakeholders to ensure data meet the business requirements and support the Business Strategy.
Communicate Data insights to Business Owners.
Collaborate with the DevOps Engineer in the development and maintenance of the Data Warehouse.
Work closely with the DevOps Engineer in Monitoring the Database performance and make recommendations for improvements.