
Data Platform, Analytics Engineering, Data for IA
Posted Aug 4

Posted Aug 4
This is a fully remote position, open to applicants in Iowa.
• Explore the current challenges of Advanced Analytics, including the modern data stack, unified data platforms, Advanced Analytics algorithms, and Data Mesh.
• Investigate the associated technological tools and methodologies.
• Develop a concrete use case and write a summary article intended for internal sharing and/or external publication.
• Actively participate in client operational missions within project teams.
• Analyze and synthesize business challenges.
• Understand client needs and contribute to defining relevant performance indicators.
• Participate in structuring data usage and deploying robust analytical solutions.
• Develop skills on market BI & Analytics solutions and platforms.
• Contribute to the animation and development of the Data, Analytics & AI offering.
• Write thought leadership content.
• Engage in recruitment initiatives, school relations, and training.
• Establish technical demonstrators and test new Data & Analytics solutions.
• Student at a general engineering school or in Information Systems/Data.
• Or a student from a business school with a major in Data & Analytics.
• A hybrid profile, comfortable with technical subjects and possessing a strong business sensitivity.
• Interest in business challenges and the ability to translate management needs into concrete data solutions.
• Interest in consulting contexts.
• Desire to enhance skills in preparation, transformation, BI, advanced analytics, and data science.
• Proficiency in SQL and Power BI.
• Depending on the missions, experience with GCP BigQuery, Databricks, or Snowflake.
• Mastery of dbt, LookML, and/or data visualization tools such as Tableau or Looker is a plus.
• Curiosity, analytical mindset, and ability to embrace new topics.
• Client-oriented, excellent interpersonal skills, and a service mindset.
• Enjoys challenges and achieving results.
• Interest in entrepreneurship and innovation.
• Opportunity to work remotely.
• Inclusive employer committed to equal opportunities.
• Support for individuals with disabilities and/or those requiring accommodations during recruitment and onboarding.
• Dynamic trajectory with rapid responsibilities.
• Great Place To Work label.
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