Data Analyst Graduate Program

Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence.

We have 20,000 people operating across 44 countries. By investing in our people, technology and innovation, we can help transform businesses, help communities prosper, enable more people to feel included in the financial opportunities that should be available to them, and help people to thrive. We’re looking for inspired employees that want to make an impact.

At Experian, we are committed to building an inclusive culture and to creating an environment where people can balance successful careers with their commitments and interests outside of work. Our flexible working practices support our belief that this balance brings long-lasting benefits for our business as well as our people. Some roles lend themselves to flexible options more than others, and if this is important to you, we are open to discussing agile working opportunities during the hiring process.

To process, sort and analyse large amounts of data and raw information to identify best practice, best process, best data, insights and find patterns that will help improve our data, data platform, client delivery and organisation as a market leader.

Build data products that offer real time value and extract valuable business insights to support client management, client deliveries and overall better decision making. Apply analytical and statistical expertise with data analysis and their related methods to analyse, interpret and communicate data outputs, events and patterns. Employ methods and models drawn from several areas within the context of mathematics, statistics, information science, and computer science. Critical thinking and problem-solving skills for interpreting data and supporting client delivery. A passion for machine-learning and research. To completely understand the data and processes that drive our business and add value to our business and our clients.

• Grade 12 National Senior Certificate (NQF 4)
• BSc in Computer Science, Data Science, Engineering, or relevant field

What you’ll need to bring to the party

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of Microsoft SQL Server, T-SQL, Azure and Python.
• Familiarity using business intelligence tools (Tableau).
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics, algebra).
• Problem-solving aptitude.
• Excellent communication and presentation skills.
• Ability to work independently and with team members from different backgrounds.
• Excellent attention to detail.
• A drive to learn and master new technologies and techniques.
• Import and Export data from different database technologies.
• Process automation and monitoring.
• Code migration from legacy languages and systems.
• Data Cleansing
• Data profiling

What you’ll be doing

• Identify valuable data sources and automate collection, loading and transforming processes.
• Developing new datasets.
• Efficient Data Engineering (ETL).
• Data investigations and anomaly detection in data.
• Manage scheduled client and business processes and deliverables.
• Undertake pre-processing of structured and unstructured data.
• Analyse large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Provide rapid feedback and insight on ad-hoc requests.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with client and product development teams.
• Undertaking data collection, pre-processing and analysis.
• Building models to address business problems.
• Code migration from legacy languages.
• Creating reports and presentations for business uses.
• Correlating similar data to find actionable results.
• Anomaly detection in data.
• Managing and administrating monthly business processes.
• Client (Internal/External) Communication.

Experian Careers – Creating a better tomorrow together

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