nerd willing to dive into our data to organize, optimize, visualize, and recognize patterns compiling readable and actionable reports that drive growth and innovation.

Responsibilities

At Easy Matatu our data guides our decision-making. We are looking for a data-obsessed

nerd willing to dive into our data to organize, optimize, visualize, and recognize patterns compiling readable and actionable reports that drive growth and innovation.

Responsibilities

● Evaluate organizational data collection methods for efficiency, bottlenecks and accuracy, developing and documenting protocols for improvement

● Drive metrics-driven culture across teams providing cross-functional insights to teams to improve their performance or solve problems/challenges

● Analyze complex data sets to identify trends and opportunities

● Work directly with management and users to studies, gather requirements and present results

Daily and Monthly Responsibilities

● Work closely with team leads to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and delivering actionable insights to relevant decision-makers

● Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity

● Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources

● Define and implement data acquisition and integration logic, selecting the appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution

● Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets

Skills and Qualifications

● Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics

● 3+ years’ experience mining data as a data analyst

● Proven analytic skills, including mining, evaluation, analysis, and visualization

● Technical writing experience in relevant areas, including queries, reports, and presentations

● Strong SQL or Excel skills with the ability to learn other analytic tools

Preferred Qualifications

● Prior experience with database and model design and segmentation techniques

● Strong programming experience in Python

● Proven success in a collaborative, team-oriented environment

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