Data Analyst role focused on delivering high value analytics projects at Infomineo. Collaborating with Data Scientists and IT teams to optimize data solutions for clients.
Responsibilities
**What will you do?**
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
**ACQUISITION & PREPARATION**
Clean and prepare the data with the Data Scientists.
Collect and transform data from the various sources available in big data environments.
**ANALYSIS**
Provide data visualization to inform business decisions.
Analyze and interpret data to extract complex relationships and trends.
Optimize data exploration using Machine Learning techniques.
**DEPLOYMENT**
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
**Who are you? **
**EDUCATION & PROFESSIONAL EXPERIENCE**
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
**TECHNICAL SKILLS**
**ACQUISITION & PREPARATION**
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)
**ANALYSIS**
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…
**DEPLOYMENT**
Exposure to versioning software: Git, Github, Gitlab
Exposure to API integration using Python for extracting data from different sources
**INTERPERSONAL SKILLS**
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
Benefits
**What we offer**
A competitive salary
A great working environment
A steep learning curve with interesting and diverse topics to work on
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