Data Analytics Specialist
hace 1 día
Infomineo is a Brainshoring services company that supports global clients from various geographies and industries across a range of services, including Business Research, Business Translation, Graphic Design, and Data Analytics. With over 250 employees spread across different offices in the EMEA region and the Americas, our clients include leading Consultancies, Fortune 500 companies, Governments, and NGOs.
About this RoleThis role offers the opportunity to deliver high-added-value data and analytics projects and build high-quality, innovative solutions for our clients within a growing service company. As a key member of our team, you will be responsible for identifying new opportunities for using data analytics services within various business functions, collaborating with stakeholders to evaluate their value, and developing a comprehensive plan for implementation.
Key Responsibilities- Design custom solutions, select appropriate tools and techniques, execute and deploy the solution, monitor its performance, and continuously enhance it.
- Lead projects, coordinate priorities, and allocate resources, and communicate effectively with the project director.
- Serve as a mentor and coach, providing guidance, training, and career development opportunities to the team.
- Teach team members how to approach problems effectively and empower them to replicate these strategies in the future.
- Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, or Data Engineering.
- Full proficiency in English and one additional language (French, German, Arabic, Spanish, Italian, Portuguese, etc.).
- More than 10 years of technical experience in advanced analytics and data science.
- Proven hands-on experience in Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark, etc.
- Proven hands-on experience in large data sets, both structured and unstructured data: Snowflake, SQL, and relational databases, data warehouse, data lake.
- Experience in NoSQL databases, such as HBase, Cassandra, MongoDB.
- Proven hands-on experience in Python programming language, coupled with an additional language experience if possible (e.g., SAS, R, JavaScript).
- Strong skills in analytical concepts such as data correlation, Pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, etc.
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