Infomineo

👥 101-250Information ServicesOutsourcingConsumer ResearchBig DataMarket ResearchAnalytics💼 Private Company
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Infomineo is a Brainshoring services company providing Business Research, Business Translation, Graphic Design, and Data Analytics to global clients. We empower businesses with data-driven insights and strategic solutions, helping them make informed decisions. Our industry expertise extends to leading Consultancies, Fortune 500 companies, Governments, and NGOs. Our tech stack includes a range of modern technologies like Python, Hadoop, Spark, and BI/Data visualization platforms such as Power BI and Tableau. We are also committed to data security and are ISO 27001 certified. Our global presence is expanding, with offices across the EMEA region (Casablanca, Cairo, Barcelona, and Dubai) and the Americas (Mexico City). We foster a collaborative environment where innovation and continuous learning are encouraged. We also encourage diversity and are an equal opportunity employer. At Infomineo, you'll find a dynamic, fast-growing environment with a steep learning curve and diverse projects. We offer a competitive salary, a great working environment, and a healthy work-life balance. Joining us means contributing to high-value data and analytics projects and building innovative solutions for our clients. We're looking for talented individuals who can step back, analyze problems, find solutions, and contribute to a dynamic, client-focused environment. Come join us!

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📍 Morocco

🔍 Business Research

  • Past experience in or a love for research, consulting or data analysis
  • Bachelors or Masters degree in Business, Economics, or similar field
  • At ease when working with figures and concepts that include modeling or correlation analysis
  • Fully proficient in English and Italian
  • Analyze research requests and define the best approach to successfully complete them
  • Gather data, verify it for accuracy, and package it in a structured and easily digestible manner
  • Assess existing research sources and data collection strategies, while coming up with suggestions when possible
  • Collaborate with clients and managers on the status of your work
  • Use your creativity and expertise to support Infomineo’s internal development projects
Posted 7 days ago
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🔍 Data Analytics

  • 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...)
  • 4+ 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
  • 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.
Posted 7 days ago
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🔍 Data Analytics

  • Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
  • 4 to 8 years of technical experience in advanced analytics and data science
  • Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese...)
  • Proven hands-on experience in Python programming language coupled with additional languages experience if possible (e.g. SAS, R, Javascript)
  • Strong skills in Statistics & Machine Learning such as regressions, Clustering techniques, Time Series techniques, Bagging & boosting trees, Ensemble models, Neural networks
  • Exposure to BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView…
  • Proven hands-on experience in Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark, etc. &Big Data querying tools, such as Pig, Hive, and Impala
  • Proven hands-on experience in large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
  • Exposure to NoSQL databases, such as HBase, Cassandra, MongoDB
  • Proven hands-on experience in API integration using Python for extracting data from different sources
  • Proven hands-on experience in container technologies – Docker, Kubernetes, etc.
  • Proven hands-on experience in solutions development & deployment experience in Cloud ecosystems and its associated services AWS, Azure, Google Cloud, and IBM Cloud.
  • Experience in building robust data pipelines using ETL techniques and frameworks, such as Flume
  • Experience to work with large volumes of structured and unstructured data and leveraging it to build AI/ML model deployment & monitoring/enhancements for standalone solutions or through end-to-end automated data pipelines
  • Propose solutions and strategies to tackle business challenges.
  • Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
  • Manage a project from A to Z
  • Analyze large amounts of information to find patterns and solutions.
  • Data mining or extracting usable data from valuable data sources.
  • Carry out preprocessing of structured and unstructured data
  • Enhance data collection procedures to include all relevant information for developing analytic systems.
  • Develop prediction systems and machine learning algorithms
  • Present results in a clear manner
  • Processing, cleansing, and validating the integrity of data to be used for analysis.
  • Assist the IT teams in all phases of the production, maintenance, and update of the models developed.
  • Provide internal training to new joiners when needed.
  • Support the Team Lead/Manager regarding client relationships, business development, and internal projects.
Posted 9 days ago
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