12/21/2023 updated
100 % available
Data Analyst, Junior Data Analyst, Data Entry & Team Manager
Dundee, United Kingdom
United Kingdom
BSc MathematicsA/B TestingArtificial IntelligenceApache AirflowData AnalysisData EntryExtract Transform Load (ETL)Google AnalyticsPython (Programming Language)MySQLSQL DatabasesSalesforce TableauJupyter NotebookProfanity (Software)
A/B tests, Airflow, artificial intelligence, data analysis, Data Analytics, analyzed data, Data Analyst, analyzing data, ETL process, Google Analytics, Jupyter Notebook, Excel, Microsoft Office, MySQL, profanity, Python, SQL queries, Tableau
Experience
Professional experience0 - 5 years
Freelancer since2023
Languages
EnglishFluent
Project history
- Partnered across functions and led the team to report on performance, generate actionable insights, and design analytical approaches for new challenges
- Defining and maintaining an automatic flow to calculate ROI
- Clustering Users based on their behaviour then package signing based on their segment
- Building models to detect Fraud automatically
- Defining and monitoring OKRs and KPIs, providing a platform to achieve business goals, and helping different teams to bring success and make significant impacts by building useful dashboards in Tableau and managing them
- Building Tableau dashboards by writing optimized SQL queries and merging multiple data sources
- Gathering data from different sources using the ETL process
- Developing data transformations in Airflow
- Running a significant number of A/B tests to add features or modify them through statistical approaches and coding in Jupyter Notebook (Python data Libraries) or Excel
- Providing various crucial/practical reports, generating actionable insights to make data-driven decisions through telling stories and illustrating data with graphs and translating complex results into clear and understandable written content
- Defining and maintaining an automatic flow to calculate ROI
- Clustering Users based on their behaviour then package signing based on their segment
- Building models to detect Fraud automatically
- Defining and monitoring OKRs and KPIs, providing a platform to achieve business goals, and helping different teams to bring success and make significant impacts by building useful dashboards in Tableau and managing them
- Building Tableau dashboards by writing optimized SQL queries and merging multiple data sources
- Gathering data from different sources using the ETL process
- Developing data transformations in Airflow
- Running a significant number of A/B tests to add features or modify them through statistical approaches and coding in Jupyter Notebook (Python data Libraries) or Excel
- Providing various crucial/practical reports, generating actionable insights to make data-driven decisions through telling stories and illustrating data with graphs and translating complex results into clear and understandable written content