Wave Senior Data Analyst Jobs in Uganda

Wave Senior Data Analyst Jobs in Uganda

Education and Experience

• Bachelor's degree or Master's in a quantitative field such as Statistics, Mathematics, Economics, Applied Psychology, Quantitative Social Science, Computer Science or a related discipline.

• 5+ years experience as a data analyst, data scientist or similar role.

• Strong analytical thinking and experience extracting insights using a statistical approach.

• Experience running A/B tests and experiments.

• Experience working with data visualization platforms (e.g. Tableau, PowerBI, Looker).

• Experience collaborating with and supporting cross-functional teams on data analysis and execution of experiments.

• Fluent in English, French is a plus.

• Technical skills

• Strong SQL skills with expertise in querying, manipulating and analyzing data.

• Proficiency in statistical analysis, data cleaning and preparation and data manipulation in Python.

• Familiarity with data visualization libraries.

• Bonus points if you have

• Advanced knowledge of A/B testing and experimental design including sampling, randomisation, stratification, and clustering.

• Advanced knowledge of statistical methods for analyzing experiments (such as regression modeling and heterogeneous treatment effects analysis).

• Advanced knowledge of statistical methods for causal inference with quasi-experimental and time series data (such as propensity score matching, nearest neighbor matching, difference-in-differences, instrumental variable analyses, and structural equation modeling, and other time series methods).

• Experience in building machine learning infrastructure and developing/maintaining models in production.

• Experience with statistical methods for network analysis.

• Experience leading a team of data analysts and/or scientists.

You might be a good fit if you

• Are proficient in SQL and Python.

• Are a self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data.

• Have excellent focus, prioritizing your research and work using an iterative approach (you know when a project is good enough to stop, and you rarely get lost in details).

• Are able to compellingly present your findings to technical and non-technical audiences and make proactive recommendations based on data.

• You excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation.

How to Apply

For more information and job application details, see; Wave Senior Data Analyst Jobs in Uganda

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