Job Description:
We have an amazing opportunity for a Senior Data Analyst in Cape Town!

We require a candidate with experience in:
• MS Excel
• SQL query writing
• Big data reporting packages (Power BI, Qlikview, Tableau)

Should you meet the requirements for this position, please email your CV to *****@*****.co.za. You can also contact Paige on (***)***-**** or alternatively you can visit our website www.********.co.za

Should you not hear from us within 3 days, please consider your application unsuccessful.
Education: Degree/Diploma
Experience: 5+ years
Reference: dataAna

Job Description:
We have an amazing opportunity for one of our clients in Bellville – Cape Town.

We require a candidate with:
• Diploma in Data analysis / Information sciences / IT
• At least Matric
• 2 or more years in data processing / cleaning / analysis
• 2 or more years in Insurance industry (or at least the financial services industry)
• IT Architecture: data warehousing, database structures, process optimization

Should you meet the requirements for this position, please email your CV to *****@*****.co.za You can also contact Phumeza on (***)***-**** or alternatively you can visit our website www.********.co.za

Should you not hear from us within 3 days, please consider your application unsuccessful
Education: Diploma in Data analysis / Information sciences / IT
Experience: 2 or more years in Insurance industry (or at least the financial services industry)
Reference: 2023PM04

Job Description:
We are seeking a highly skilled and experienced Senior Data Analyst to join one of our Financial Services clients. The ideal candidate will be responsible for analyzing complex data sets and providing valuable insights to inform our business decisions. You will be expected to work collaboratively with cross-functional teams to identify trends, build predictive models, and develop data-driven solutions.

Responsibilities:

Analyze large, complex data sets to extract valuable insights and inform business decisions.

Develop and maintain predictive models using statistical techniques and machine learning algorithms.

Collaborate with cross-functional teams to identify business problems and provide data-driven solutions.

Communicate findings and recommendations to stakeholders using clear and concise language.

Continuously monitor data quality and proactively identify and address data issues.

Stay up-to-date with the latest industry trends and technologies and apply them to your work.

Requirements:

Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, etc.).

5+ years of experience in data analysis, preferably in a financial services setting.

Strong analytical skills with experience working with large, complex data sets.

Proficiency in statistical analysis and machine learning techniques.

If you are a highly motivated self-starter with a passion for data analysis and a proven track record of delivering valuable insights, we encourage you to apply for this exciting opportunity.

The client offers a competitive compensation and benefits packages and a dynamic, fast-paced work environment

Send your CV to *****@*****.co.za
Education: Degree
Experience: 5 Years
Reference: 2023LV04