Data Analyst

SQL Skills: Ability to write SQL queries to extract, combine, and simplify data from multiple tables.

Data Analysis: Strong skills in analyzing data to understand customer behavior and identify trends.

Performance Monitoring: Ability to monitor weekly performance and understand the causes of changes in metrics.

Forecasting: Skills in forecasting future trends based on current data.

Collaboration: Ability to work with teams across different departments such as Finance, Product & Marketing.

Data Science Modeling: Experience in constructing plans using data science models.

Quantitative Data Interpretation: Ability to gather, process, and interpret diverse quantitative data.

Business Acumen: Understanding of business goals and ability to align data analysis with these goals.

Communication Skills: Ability to communicate complex data in a simple, easy-to-understand manner.

Study customers’ journey to understand their Engagement, Retention, and Migration. Use SQL to pull data from different tables, combine it, and make it easier to analyze, and to help understand customers’ behavior better. Keep track of performance every week, figure out why things change, and help predict what might happen next. Work with Finance, Product & Marketing teams to make plans for every quarter and the whole year using data science. Collect, work on, and understand lots of different data to help reach business goals, spot trends, and look at data through segment and cohort analysis.