Expert in Digital Product Analytics working on a high-traffic transactional platform for gaming and digital services, focusing on customer value and experimentation.
Compensation
Salaire : 45 K€ - 68 K€ Brut/an selon expérience et expertise
Responsibilities
Analyser les comportements et les usages des clients pour identifier les leviers de développement de la valeur client
Étudier les indicateurs de mise moyenne, de fréquence d'utilisation, de récurrence et de fidélisation
Réaliser des analyses de segmentation, de cohortes et de comportements
Mesurer les impacts business des évolutions produit sur les indicateurs de performance
Intégrer les contraintes de jeu responsable dans les analyses
You will be a key analytical partner for Glovo's commercial teams, providing revenue, pricing and performance insights for advertising and monetisation products.
Responsibilities
Help define and evolve business KPIs, data models and funnels to improve revenue and performance visibility.
Translate business questions into actionable insights that inform product, sales and commercial decisions.
Build and maintain useful, scalable dashboards and reporting frameworks.
Support revenue forecasts, variance analyses and growth models for planning and decision-making.
Identify data-driven opportunities to grow advertising revenue, improve conversion and maximise partner value.
Requirements
Bachelor's degree in Economics, Statistics, Mathematics, Engineering or a related field
Internship role focused on account management within Amazon’s business intelligence, retail, or seller services teams, providing analytical support and project ownership.
Responsibilities
Build an understanding of customer pain points, requirements, and potential value that can be delivered and report on a set of business development targets
Identify target accounts using market data and industry intelligence
Use feedback to identify opportunities to improve our products, services, processes, systems, and tools
Prospect, qualify, and call important leads
Work with different parts of the Amazon business to implement improvement projects, including working with category teams, product teams, and technical support teams
Requirements
Bachelor’s Degree in Engineering, Commerce, Business administration or similar field
As a Senior Compliance Associate, your responsibility is reviewing product information per SOPs and cross-checking against regulatory documentation, classifying products to ensure compliance for availability on Amazon.
Responsibilities
Reviewing latest product information as per Standard Operations Procedures (SOP)
Cross-checking information against relevant regulatory documentation
Classifying products to ensure they meet compliance requirements
Working with managers and Process Experts to address deviations from standard SOPs
Maintaining detailed records of assigned tasks
Requirements
Bachelor's degree
Nice to have: Consumer product compliance processes
Nice to have: Regulatory compliance management
Nice to have: Business Process Outsourcing experience
Senior Associate in Product Compliance responsible for regulatory classification, testing, and audit of Amazon Private Brand products across global markets.
INflow Federal is seeking a Data Engineer to design, develop, and maintain secure data pipelines, transformations, and analytics infrastructure supporting enterprise systems within a Department of Defense (DoD) modernization initiative.
Responsibilities
Design, implement, and maintain data pipelines and ETL processes for AI applications supporting ingestion, transformation, and validation of mission data
Develop and optimize data models and schemas for AI platforms across relational and non-relational databases to support system integrations and analytics
Collaborate with system architects, integration developers, and data analysts to ensure data consistency, security, and integrity across cloud environments
Implement data migration and synchronization between legacy systems, applications, and modern cloud platforms
Utilize AWS services (Glue, Lambda, S3, RDS, Redshift, Kinesis) to build and sustain scalable and fault-tolerant data infrastructure
Requirements
Bachelor’s degree in Computer Science, Information Systems, or a related technical field
Nice to have: Power BI
Nice to have: Tableau
Nice to have: QuickSight
Nice to have: AWS Certified Data Engineer – Associate
Lead the development of a modern, intelligent data platform, architecting scalable, cloud-native solutions for analytics, RAG, and feature engineering.
Responsibilities
Design and implement scalable data models using dimensional modeling and best practices for modern data warehousing.
Develop and scale dbt transformation pipelines, including testing, documentation, and modularization.
Architect and optimize Delta Lake / Apache Iceberg tables for high-performance analytics and large-scale ingestion.
Build production-grade processes in Python, integrating with various data sources & APIs.
Implement and manage KNN embedding storage for use in RAG pipelines and ML-powered search or recommendations.
Requirements
Bachelor's degree
Master's degree
PhD in computer science or electronics engineering