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Data analyst

Talan

Paris · On-site Full-time Senior Yesterday

About the role

About Talan

Founded in France, Talan has grown into an international group that supports our clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise.

With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact.

Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory.

For more than 20 years, we have been translating technological innovation into competitive advantages across vital sectors: banking and financial services, energy, transport and mobility, luxury and retail, and healthcare.

Driven by our promise of "Positive Innovation," we have established ourselves as a leading player in addressing the growing complexity of economic, technological, and regulatory environments.

www.talan.com

Job Description

We are looking for a Data analyst capable of participating in technical projects. You must demonstrate an innovative, methodical, solution-oriented (not problem-oriented!), and communicative mindset. Knowledge and practice in data science are a plus.

YOUR ROLE ON OUR PROJECTS:

  • On assignment: analysis of business needs, definition of data collection and processing principles and methods, application of data processing and visualization techniques, presentation of analyses and results obtained to business stakeholders and sponsors
  • Technical sharing with team members: solutions and code reviews, recommendations, certifications to be obtained, …
  • Participation in meet-ups, coding dojos,...
  • Communication: writing articles, sharing experiences…

YOUR ROLE AT TALAN:

  • Benchmarking solutions and advising our clients on technological solutions to adopt, in line with their needs
  • Carrying out POCs (Proof of Concept)
  • Participation in internal projects and knowledge sharing within our teams.
  • Internal knowledge sharing and training

Qualifications

YOUR PROFILE:

  • Graduated from a top engineering school/PhD, specializing in Data Science or Artificial Intelligence
  • You have at least 5 years of experience in the field of data, data analysis, and/or data science
  • Essential: significant experience with Dataiku
  • Proficiency in data management and DataViz techniques
  • Proficiency in Python, R, RShiny, SQL…
  • Proficiency in using DevOps tools: Git, Docker, Jenkins/Nexus,...
  • Good knowledge of Big Data: pySpark, Spark, NoSQL…
  • Familiarity with tools such as: AWS SageMaker/Bedrock, Azure ML,...
  • Autonomy, organization, sharing mindset
  • Excellent communication skills
  • Business orientation
  • Bonus: Proficiency in statistical analysis techniques, predictive modeling, Machine Learning, Deep Learning,...

Additional Information

Benefits:

  • Top 5 in the Great Place to Work Ranking
  • Close management by experts
  • Organization in communities
  • An Agile DevOps excellence path
  • Funding for several official certifications per year through our publisher partners
  • Access to the CampusTalan platform with over 1000 courses available upon arrival
  • Facilitated internal mobility
  • Commitment to supporting workers with disabilities
  • Regular events and afterworks
  • Parisian headquarters located at Charles-De-Gaulle Etoile
  • Digitalized meal vouchers
  • Vacation bonus
  • Referral bonuses
  • Shareholding
  • RTT (Reduction of Working Time)

The recruitment team is committed to offering you a quick and smooth recruitment process:

  • An initial 30-minute video call with the recruiter to present the position and understand your professional project
  • 2 technical interviews, at least one of which will be on-site, to go into detail about the position and meet your future manager

Skills

AWS SageMakerAzure MLDataikuDataVizDeep LearningDockerGitJenkinsMachine LearningNexusNoSQLPythonRRShinySQLSparkpySpark

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