Data Analyst

Role Overview

• Assist businesses in the decision-making process for Data Driven projects using the following steps:
• Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
• Propose solutions and strategies to tackle business challenges.
• Present results in a clear manner
• Clean and prepare the data with the Data Scientists.
• Collect and transform data from the various sources available in big data environments.
• Provide data visualization to inform business decisions.
• Analyze and interpret data to extract complex relationships and trends.
• Optimize data exploration using Machine Learning techniques.
• Adapt and integrate analytics models into the client's IS environment.
• Assist the IT teams in all phases of the production, maintenance and updating of the models developed.

Requirements

• Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
• Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese...)
• 0 to 3 years of technical experience in advanced analytics and business intelligence
• Exposure to Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark etc. &Big Data querying tools, such as Pig, Hive, and Impala
• Exposure to large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
• Exposure to Python programming language coupled with an additional languages experience if possible (e.g. SAS, R, Javascript)
• Good skills in Analytical concepts such as data correlation, pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, etc.
• Experience in BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView…
• Exposure to versioning software: Git, Github, Gitlab
• Exposure to API integration using Python for extracting data from different sources
• Ability to step back, analyze problems, find solutions and the drive to implement these.
• Ability to work & collaborate with variety of stakeholders & clients throughout data project life-cycle
• Strong interpersonal skills and organisational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems.
• Good communication skills & ability to translate complex solutions into business implications and at the same time being able to explain mathematical concepts when required

Tech Stack

• Hadoop
• JavaScript
• PySpark
• Python
• Scala
• Spark
• SQL
• Tableau

Benefits

• A competitive salary
• A great working environment
• A steep learning curve with interesting and diverse topics to work on
• A healthy work-life balance
• Health insurance Benefits