Sr Analyst - Data Science and Analytics at TransUnion

As a junior data scientist in our team, you’ll join a world class group of data scientists, statisticians and mathematicians on a mission to derive insights from data and put them to good use.
You’ll work on developing credit risk, fraud and customer solutions through consulting engagements and research serving TransUnion’s clients across Financial Services, Telecommunications and Insurance Industries.

What You'll Bring

• You’ll collaborate with cross-functional teams and external partners both locally and internationally to drive development of analytical products and solutions at TU Africa.
• You’ll provide input into projects involving descriptive, predictive, and prescriptive analysis – leveraging a variety of advanced tools and techniques.
• You’ll deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers.
• You’ll foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

Impact You'll Make

• Bachelors or Honors degree in statistics, applied mathematics, computer science, engineering, or another highly quantitative field. A track record of academic excellence.
• At least two (2) years of professional experience with analytic projects in Financial Services, Telecommunications, Insurance or related industries.
• Examples of demonstrated success in internal and external client-facing analytical roles over a period of at least one (1) year.
• Strong written a verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to peers and key stakeholders in the organisation.
• Strong analytical, critical thinking, and creative problem solving skills.
• Strong working understanding of statistical programming languages such as R, and SAS; proficiency with Microsoft Office tools.
• Operates (with some supervision) in a complex, dynamic, matrixed environment. Able to handle multiple tasks at one time.
• Effective project management skills with the ability to work on multiple assignments.
• An understanding of current industry challenges and trends at the level needed to understand customers’ analytical needs and related business opportunities.