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Lena Horn Data Analyst
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Not rated yet
South Africa- Franskraal, South Africa
About Me
I am a Data Analyst with a Master’s in Data Science and a Master’s in Human Resource Studies, HR Analytics. I have a diverse background in data engineering, analysis, and research. In my last job as Data Engineer at an insurance company, I focussed on building robust data pipelines and modeling for long-term business use, leveraging tools like Snowflake, DBT, Airflow, and Azure. I have experience in both technical and strategic roles, having developed data systems and dashboards to support decision-making, including financial fraud monitoring applications and business intelligence reports using PowerBI.
Earlier in my career, I contributed to scientific research at Tilburg University and healthcare projects, where I published peer-reviewed articles and applied machine learning to improve clinical decision-making. I am passionate about transforming data into actionable insights and thrive in dynamic, collaborative environments. Fluent in German, English, and Dutch, I’m eager to bring my analytical skills and technical expertise to new challenges.
Education
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Master of Science: Data Science & Society at Tilburg University
2019/2020 -
Master of Science: Human Resource Studies at Tilburg University
2017/2019Specialization: HR Analytics
Achievements: Cum laude
Experience
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Data Engineer
1-Sep-2023/1-Sep-2024Data Modeling and data pipelines: Open up and link new data sources with the existing data warehouse
and building data pipelines using Snowflake, DBT, Airflow, BigBird, Fivetran and Azure functions. Data
modeling for robust, long-term use in business reports (PowerBI) and data analysis.
• Database Management: User and permission management of DBT projects, Azure resources and
Snowflake. Improvement of SQL queries for different departments and clients. Maintaining and fixing bugs
in daily production runs such as issues with Azure functions for automated data acquisition from Api’s. -
Data Scientist
01-11-2021/01-06-2023Worked as developer on an application for monitoring financial transactions in a Dutch bank.
Efficient database design and Object-oriented programming (Python) was implemented to handle the
large amounts of data. Presented results to shareholders.
• Implemented a data warehouse system, including design, implementation,
testing, documentation and deployment, using Python, SQL and Azure Virtual Machines.
• PowerBI reporting to assess the success of a personalized e-mail marketing campaign on profit and
customer buying behavior for a Dutch supermarket chain. -
Junior Researcher
01-06-2020/01-07-2021• Analyzing hospital data to predict return to work after physical injury.
• Conducted scientific research, data preprocessing, data analysis (SPSS, R, Python,
Latent Gold), academic writing and presentation of the findings.
• Achievement: Publication of two scientific articles as first author.
