Data Analyst

Data Analyst

Business Unit: Discovery Invest

Function: Data Analysis

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

- Collect and Clean Data: Gather data from various sources and ensure its accuracy and integrity.
- Analyze Data: Use statistical methods and tools to identify trends, patterns, and insights.
- Report Findings: Create clear and informative reports and visualizations to communicate insights.
- Support Decision-Making: Provide data-driven recommendations to inform strategic and operational decisions.
- Optimize Processes: Continuously monitor and analyze data to identify opportunities for improvement and efficiency.

Responsibilities

- Gather data from various sources to analyse and document data and visualisation requirements to ensure consistency and reliability.
- Ensure the data is accurate and free from errors by removing duplicates, correcting errors, and dealing with missing values.
- Assist with formulating data accuracy and completeness processes from ingestion to storage.
- Using statistical techniques and software tools to analyze data and identify trends, patterns, and insights.
- Designing and creating data models to organize and structure data effectively.
- Create visualizations like charts and graphs to present data findings clearly and concisely.
- Identify areas of opportunity to introduce new visualization tools.
- Present findings to stakeholders through detailed specification documents, presentations, and dashboards, making complex data understandable and actionable.
- Working with other teams, such as IT, marketing, and finance, actuaries to understand their data needs and provide relevant insights.
- Contribute to enhancing the data architecture principles for the environment.
- Understand the data pipeline process and assist with creating data pipelines to democratise access to data across the Invest ecosystem.
- Monitor the use of data within the environment and contribute to enhancing and improving the security of data through continuous monitoring processes.

Education and Experience

- Bachelor's degree in IT or Quantitative fields or related fields
- Postgraduate degree (simply an advantageous)
- 5 to 8 years data analytics experience

Required skills and qualifications

- Strong communicator verbally and in writing
- Expert database knowledge in SQL
- Experience working on large and complex datasets.
- Data analysis synthesis
- Understanding data quality and data governance concepts
- Self-management of tasks and deliverables

Preferred skills and qualifications

- Advanced training in data engineering and data analysis
- Prior leadership experience
- Experience in Data Integrity, Privacy and data governance
- Engagement with Senior stakeholders

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.

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