Analytics Engineer – Data Collab

Numberly

. Understand clients’ needs, objectives, and the data made available to them .

Posted 10/6/2026internshipParis • FranceEntry Level💰 €1,400 - €1,700 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and visualization, utilizing tools such as Power BI and programming languages like Python and SQL to transform raw data into actionable insights. Proficient in automating studies and dashboards within a collaborative team environment, leveraging cloud technologies and data engineering practices.

Highest-signal resume keywords

Data AnalysisData VisualizationPython ProgrammingSQL Database QueryingGoogle Cloud Storage

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData VisualizationPython ProgrammingSQL Database QueryingREST APIsPySparkData CleansingModelingAutomationLow-Code/No-Code Tools

Soft Skills

Analytical SkillsCuriosityTeam CollaborationCommunicationRigor

Tools & Technologies

Power BIAmazon Web ServicesMicrosoft SuiteGit/CI/CDAirflowKubernetesHDFS

Industry Keywords

Data ScienceData EngineeringDynamic EcosystemClient EngagementStakeholder Presentation

Tech Stack

Tools & technologies

AirflowAWSChefCloudHDFSKubernetesPySparkPythonSQLSSIS

About the role

Key responsibilities & impact

Understand clients’ needs, objectives, and the data made available to them
Present results and deliverables to clients and internal stakeholders
Technically implement studies, from data cleansing through visualization or modeling
Automate studies and dashboards
Create low-code or no-code tools to facilitate data usage
Transform raw data into actionable insights to support decision-making
Work alongside a Project Manager and three Analytics Engineers within the Data Collab team
Use the following technology stack: Google Cloud Storage, Amazon Web Services, Microsoft Suite (SSMS, SSIS, SSRS, Power BI), HDFS, Git/CI/CD, Airflow, and Kubernetes

Requirements

What you’ll need

Engineering degree program with a specialization or experience in data analysis or data science
Strong analytical skills and a passion for numbers and data
Strong interest in a complex and dynamic ecosystem
Curiosity, rigor, and strong convictions
Ability to work as part of a team with people from diverse backgrounds
Skills in and/or interest in data visualization
Written and spoken English proficiency
Knowledge of programming languages such as Python and PySpark
Knowledge of REST APIs
Knowledge of database querying, including SQL
Experience with data visualization tools is a plus

Benefits

Comp & perks

Weekly internal talks
Opportunities to meet professionals who are experts in their fields
Continuous learning
Fast-paced and comprehensive onboarding
Interactive e-learning platform
Job shadowing opportunities with different teams
Monthly Happy Meetings with teams worldwide
Remote work opportunities
100% remote work available for people with disabilities
Workplace accommodations for people with disabilities
Library
Fully equipped large music studio
Bring-your-pet policy
Bicycle parking
Unlimited coffee, tea, and herbal infusions
Mystery lunches
Wellpass membership (formerly Gymlib)
Sports classes
Social events
Swile card (meal vouchers)