Data Analyst

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Invest

Launched in 2007, Discovery Invest offers the full range of investment products for any client need, providing access to our top performing range of Discovery funds as well as a wide selection of leading local and international fund managers. Recently, Discovery Invest launched a unique offshore offering to enable South African investors unparalleled ease in accessing international investment opportunities. Discovery Invest is seeking to leverage the shared-value model to promote financial health and freedom for millions of South Africans. Through unique behavioural incentives and benefits, we reward clients for positive investment behaviour with extra investment returns. Discovery Invest is the only shared value investment platform in the country maximizing client outcomes before and after retirement. It is important for our employees to provide world class service to our internal and external clients, thereby ensuring long and sustainable relationships.

Key Purpose

The data analyst is responsible for transforming raw data into actionable insights to support informed decision-making within an organization. Through the process of collecting, cleaning, and analysing data, identify trends and patterns, and create reports and visualizations to communicate findings they are able to provide data-driven recommendations, help optimize processes, improve performance, and drive strategic initiatives.

Objectives of this role

• Document requirements: Ensure that all requirements are documented, as well as ensure that all artifacts are maintained and complete at all times.
• Data integrity and quality assurance: perform data mappings to ensure maintenance of data quality and integrity
• Monitor failures: Ensure that all solutions have monitoring in place to effectively identify failures so these can be resolved promptly thus ensuring optimal system performance
• Automate manual processes: Identity opportunities to automate manual processes and recommend improvements to enhance system interoperability
• Optimize Processes: Continuously monitor and analyze data to identify opportunities for improvement and efficiency.

Responsibilities

• Interact with Business Analysts and End Users to establish information needs
• Conduct data analysis and data profiling on various source systems
• Design and document logical and physical data models using dimension modelling techniques
• Review data models with functional and technical teams
• Interact with Software Developers, Business Analysts, Quality Management and End Users to communicate BI designs and solutions
• Establish, maintain, and ensure compliance with data modelling and data integration standards
• Lead the creation, enhancement and implementation of newer BI standards and processes
• Mentor junior team members

Education and Experience

• Matric
• A Bachelor of Science Degree or Diploma in Computer Sciences/ Information Systems or equivalent IT tertiary qualification
• AWS certifications will be an added advantage
• 5 to 8 years of experience in data analytics or the BI space.
• Solid experience in gathering requirements for reporting solutions and data analytics
• Solid experience in writing functional and technical specifications, process flows and source-to-target mappings
• Experience working with BI front-end tools to develop prototype solutions (Power BI, Tableau or similar; Excel)
• Strong analytical and problem-solving skills
• Excellent oral and written communication skills
• Strong SQL query writing ability (across database environments)
• Experience in ETL design and good understanding of ETL solution architectures
• Good understanding of ODS, data warehouse, data marts and database technologies.
• Strong database fundamentals and data modelling knowledge (normalization and de-normalization)
• Highly proficient in database management systems like Postgres, Oracle, MongoDB, and Redshift

Preferred skills 

• Prior leadership experience
• Change Management experience
• Engagement with Senior stakeholders 
• Personal Attributes and Skills
• Drives Results
• Values Driven
• Optimistic
• Learns on the Fly
• Resilient
• Instils Trust

EMPLOYMENT EQUITY   
                             
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.