A Bachelors or Masters degree in something terribly clever Statistics, Data Science, Computer Science, Economics, or similar Minimum 5 years of slogging through analytics, business intelligence, or data science. Extra points if youve done time in credit or fintech As the Grinch would say “misery loves company, after all.” Mastery of SQL (of course), skill in Python or R, and the ability to wrangle GCP tools like BigQuery, Looker Studio, and Dataflow without bursting into tears Flair for data visualization tools Tableau, Power BI, Looker whatever you fancy A working brain for credit models, scoring, and risk analytics (the thrilling stuff) A problem-solver with a curiosity level high enough to annoy everyone else Why Join This Merry Mob? Because apparently, data is the most delightful game in town. Youll join a gang of bright-eyed coders and analysts shaping the future of credit intelligence running about, thinking big, and celebrating every single “aha!” moment like its Christmas morning. If youre ready to level up your career (and stomach all the cheer that comes with it), grab your keyboard and march to glory. Apply if you must. Contact Chelsea Fisher on

Key Responsibilities: Data Collection & Preparation Gather, clean, and structure data from multiple sources to ensure accuracy and completeness. Resolve data quality issues and maintain reliable datasets using tools like SQL, SAS, Python, and BigQuery. Data Analysis & Insights Conduct exploratory and statistical analysis to identify key trends, patterns, and insights. Translate business requirements into analytical solutions that support strategic decisions. Reporting & Visualization Build and maintain dashboards and reports using Google Looker to communicate insights effectively. Present findings clearly, tailoring outputs to diverse audiences. Data-Driven Decision Support Collaborate with cross-functional teams to enable data-informed decision-making. Provide analytical input for market analysis, customer segmentation, and performance tracking. Governance & Compliance Ensure adherence to data governance, privacy, and security standards. Maintain accurate documentation and data dictionaries. Continuous Improvement Stay current with emerging tools, technologies, and best practices in data analytics. Pursue ongoing learning in statistical analysis, data modelling, and visualization. Job Experience and skill required Degree or Masters in Mathematics, Statistics, Computer Science, Data analytics or similar 5 years exp as a Data Analyst Experience with GCP, Google BigQuery, SQL, Python and data Visualisation tools Apply now!

Bachelors or Masters degree in Statistics, Data Science, Computer Science, Economics, or a related field Minimum 5 years of XP in data analytics, business intelligence, or data science bonus XP if its in the credit or fintech world Mastery of SQL, proficiency in Python or R, and serious chops in GCP (BigQuery, Looker Studio, Dataflow) Expertise in data visualization tools like Tableau, Power BI, or Looker Understanding of credit modules, credit scoring, and risk analytics mechanics A natural-born problem-solver with a curiosity stat thats off the charts Why Join the Guild Data is the ultimate game. Youll be part of a crew of explorers, coders, and strategists shaping the future of credit intelligence. They move fast, think big, and celebrate every win from small insights to massive breakthroughs If youre ready to upgrade your career, grab your headset and power up Contact Chelsea Fisher on

Collect, extract and compile data from all corners of the digital universe Clean and transform raw data into beautiful, structured datasets ready for action Hunt down data quality issues like a true detective3 Use your favourite tools (SQL, Python, SAS, BigQuery) Create sleek dashboards using Google Looker Be the go-to-partner for data powered business strategies Help teams make smarter choices backed by solid analytics Keep your statistical toolkit fresh and your Python scripts sharp What You Bring to the Table: Bachelors or Masters in Mathematics, Statistics, Computer Science, Data Analytics, or a related field Minimum 5 years experience as a Data Analyst (bonus points if its in fintech or a fast-paced data-driven industry) Proficiency in GCP, Google BigQuery, SQL, and Python Experience with data visualization tools like Looker (and maybe even a flair for design!) Strong analytical and problem-solving skills with an eagle eye for detail Proven ability to handle large datasets without breaking a sweat Solid understanding of data governance and privacy principles Contact Penny Janse Van Rensburg on