PPS has more than 200 000 members who enjoy access to a comprehensive suite of financial and healthcare products that are specifically tailored to meet the needs of graduate professionals.
PPS is the largest South African company of its kind that still embraces an ethos of mutuality, which means that it exists solely for the benefit of its members. Thus, ...
Read more about this company
An appropriate bachelor's degree in (BSc, Mathematics, Computer Science, Statistics or any other relevant field).
SQL and Power BI certifications are advantageous.
Experience:
3-5 years in Data Analyst role especially in the insurance industry.
3-5 years of experience extracting and aggregating data from large relational databases, data mining and predictive modelling.
3–5 years of experience developing data visualization solutions to support users understanding of results.
3-5 years of proven experience as a Data Analyst in the Insurance industry.
Advanced skills in SQL.
Excellent communication skills and the ability to present complex findings clearly and understandably.
Strong attention to detail and a commitment to delivering high-quality, accurate analyses.
Proven experience in Power BI and reporting tools.
Previous experience in a similar role within the data model operations.
Data modelling experience.
Comfortable in mapping business questions to data problems.
Proven experience in stakeholder management, acting as a business partner across different areas.
Strong experience in ETL.
Knowledge & Skills:
Advanced working SQL knowledge and relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, technologies, languages and visualisation engines (Power BI, Tableau, etc).
Knowledge of a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
Knowledge of data visualisation and ways to best convey messages to different audiences using qualitative and quantitative insights.