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.
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