Data Analyst Graduate
Johannesburg, South Africa
Experian
Experian is committed to helping you protect, understand, and improve your credit. Start with your free Experian credit report and FICO® score.Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job Description
Why this role is critical to us:
The Data Specialist Graduate will play a pivotal role in processing, sorting, and analyzing large datasets to identify best practices, processes, and insights. This role is essential for enhancing our data platform, improving client delivery, and maintaining our position as a market leader.
Key Responsibilities:
- Analyze and interpret large datasets to extract valuable business insights.
- Develop data products that provide real-time value.
- Support client management and delivery through data-driven decision-making.
- Apply analytical and statistical methods to communicate data outputs and patterns.
- Ensure data quality and accuracy in all deliverables.
- Develop solutions using custom Python services within the technical framework.
- Liaise with internal and external departments, including the Data Management and Development teams.
Team Structure:
- Reports to the Head of CDS.
- Collaborates with Intermediate Developers, Senior Developers, Senior Business Analysts, and the Product Development Manager.
- Participates in sprint planning sessions every two weeks.
- Team members are based in Stellenbosch and Johannesburg.
Qualifications
- BSc in Computer Science, Data Science, Engineering, or a related field.
- Strong analytical and problem-solving skills.
- Excellent communication skills and the ability to thrive in high-pressure situations.
- Familiarity with SQL and Python is a plus but not required.
- Eagerness to learn and adapt to new technologies and methodologies.
Core Skills:
- Strong analytical and problem-solving skills.
- Ability to work effectively in high-pressure environments.
- Excellent communication and project management skills.
- Eagerness to learn and adapt to new technologies and methodologies.
Additional Information
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data management Data quality Engineering Python SQL Statistics
Perks/benefits: Insurance
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