Business Intelligence, Data Analyst

📋 Description

• Engage in all facets of data, encompassing engineering to the development of advanced visualizations, machine learning models, and experiments.

• Examine and interpret extensive volumes (PB-scale) of transactional, operational, and customer data utilizing both proprietary and open-source data tools, platforms, and analytical toolkits.

• Simplify complex insights into straightforward visualizations and actionable recommendations for operational teams and executives.

• Join a dynamic industry and organization where rapid market delivery is essential.

⛳️ Requirements

• A degree in a quantitative field, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences.

• 3-5 years of relevant full-time experience in an Analytics or Data Science position.

• A motivated team player with the capability to swiftly learn and implement new tools and techniques, including proprietary analytical software, data models, and programming languages.

• An innate curiosity to discover, explore, and articulate trends and patterns in data, along with the ability to analyze and simplify complex concepts and technical findings for effective communication.

• Previous experience in internal/client-facing consulting or business transformation is preferred.

• A strong enthusiasm for Emerging Technologies related to Blockchain, Machine Learning, and AI.

• Proficiency in two or more of the following areas:

• - An analytical software (e.g., R, SAS)

• - A data visualization tool (e.g., Qlikview, Tableau, PowerBI)

• - A relational or graph database management tool (e.g., SQL, NoSQL, Neo4J)

• - Programming languages (e.g., VBA, C++, Java, Python)

🏝️ Benefits

• Competitive salary along with company benefits.

• Work-from-home arrangement (the specifics may vary based on the business team's needs).