We are looking for learners to help analyze our mobile app datasets to draw helpful insights. From this analysis, we hope to gain insights that will will drive our product roadmap. These insights will be directly related to business outcomes and help us shape how we need to evolve our business in the future.

The scope includes assessing existing and proposed data sources / datasets against Key Performance Indicators to establish current state and gaps; and implement analysis solutions to address gaps.

Learners will benefit from experience working with a mobile app team to learn about the KPIs and data sources--such as Google Play, The Apple App Store, Google Firebase/Analytics, and relevant to the mobile app industry; and the data

This will involve several different steps for the learners, including:

·        Collect data from multiple sources, clean the data, removing duplicates, missing values and resolving inconsistencies

·        Perform in-depth data analysis using spreadsheets to uncover patterns, trends, and insights within the data

·        Utilize formulas, functions, and pivot tables to calculate metrics such as mobile app usage trends, customer segmentation, and / or product performance

·        Perform descriptive and diagnostic analysis using SQL to gain insights 

·        Apply statistical modelling techniques, such as regression and classification, to identify factors influencing sales and customer behavior

·        Perform exploratory data analysis (EDA) to uncover correlations and relationships between variables using statistical methods and visualizations

·        Create interactive dashboards to visually represent the data

Access to all available data and systems, mentorship time with our engineering team, support with key metrics and performance indicators, and overall supervision.