Senior Data Analyst at Liquid Thought

About the job Senior Data Analyst

• Our Client's Software Development team is looking for an exceptional Data Analyst to join their dynamic team based in Johannesburg. You will use data to solve tough business problems, provide insights and in so doing, enable your colleagues to track progress and make decisions.
• The role involves guiding and mentoring team members to follow best practice and to build with the future in mind. The Data Analyst will also be responsible to partner with the Head of Data on the design and strategy of data products to enable our client's future strategy and technology roadmap.

Technical Challenge:

• They run an Agile Development Programme in a DevOps infrastructure and culture. Their cloud- native technology stack is hosted in Google CloudPlatform. The data landscape includes MYSQL, Big Query, Composer, Python and PowerBI. 

The Role Includes:

Planning and strategy

• Engage with various Stakeholders to understand the business and data analysis goals in context of our client's strategy and vision.
• Design data solutions for real-time and batch environments.
• Document the planning, implementation, and operation of the data platform.
• Select and integrate any big data tools and frameworks required to enable the business and data analysis goals.
• Work closely with the data engineers, testers developers and business analysts to design and ensure delivery of data requirements.

Data Analysis and Business Intelligence

• Work to deliver data analyses to derive business insights.
• Work with the data engineers to ensure necessary and accurate data pipelines and models are in place.
• Advise on data design, modelling and architecture to support outputs

Data Warehouse

• Data Marts
• BI pipeline
• Extracts, reports, and dashboards.
• Train and facilitate data adoption across business users.
• Prepare analytical datasets for other teams.

Job Opportunity Specifications: 

• Implement policies around data governance.
• Monitor performance and collaborate on optimization.
• Do data validation and quality assurance to ensure accurate outputs.
• Support pursuits on Machine Learning models and data labeling and dictionaries.

Mentoring

• Upskill and guide team members to follow standards and best practices when implementing/utilizing:
• Data Warehouse.
• Data Marts.
• BI pipelines.
• Extracts, reports, and dashboards.
• Data models.

Minimum Requirements: 

• Matric / Grade 12.
• Degree or diploma in Science or Engineering (Mathematics, Statistics, Computer Science or related field).
• Minimum of 8 - 12 years experience as a data professional.
• Comfort and excellent skill in the use of databases, SQL, and BI tools including Power BI. Proficient in data modeling.
• Microsoft Fabric and Power BI Premium product set knowledge and experience would be advantageous.