fifty-five

6 Jobs

491 Employees

About the Company

fifty-five was founded in 2010 by former Google executives who understood and anticipated the potential of data in brands' marketing strategies.

Our team has mastered a rare combination of consulting, technical skills and marketing understanding to offer high value data-based services to its clients.

Headquartered in Paris, with deep European roots, we operate across 3 time zones from our 10 offices located in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore and New York.

We're hiring! Please visit our website to have a look at our job openings:
https://www.fifty-five.com/carreer

Listed Jobs

Company Name: fifty-five
Job Title: Data Consultant - Paris (H/F)
Job Description: **Job Title:** Data Consultant **Role Summary:** Execute and manage data‑driven marketing projects for clients, focusing on conversion optimization and digital media performance. Bridge technical teams and business stakeholders to deliver AI‑enabled marketing use cases, ensuring high data quality, actionable insights, and successful activation of marketing initiatives. **Expectations:** - Deliver quality data‑analysis and data‑science deliverables in line with project timelines. - Translate business objectives into technical requirements and measurable KPIs. - Act as a liaison between technical infrastructure and marketing teams to align strategy and execution. **Key Responsibilities:** - Drive the promotion and application of data science and processing within digital marketing projects. - Ensure data accuracy, integrity, and delivery of reliable insights to clients. - Monitor and report on digital performance indicators to guide media strategy. - Support the operational and technical deployment of marketing initiatives. - Collaborate with the consulting team to develop and refine the data‑science offerings. - Perform data exploration, analysis, and visualization to support marketing decisions. **Required Skills:** - Proficient in SQL for data querying and manipulation. - Working knowledge of Python (basic scripting and data handling). - Strong analytical aptitude and problem‑solving ability. - Excellent written and verbal communication skills. - Basic proficiency with Microsoft Office (Word, Excel, PowerPoint). - Understanding of digital marketing, web analytics, media activation, and machine‑learning concepts. - Ability to comprehend complex technical architecture. - Functional working knowledge of English; additional languages are a plus. **Required Education & Certifications:** - Graduate of an engineering school or a dual commerce/engineering program. - Prior experience in data consulting or a data‑analysis role is required. - No specific certifications mandatory; technical certifications (e.g., SQL, Python, Microsoft Office) are advantageous.

Paris, France

On site

29-12-2025

Company Name: fifty-five
Job Title: Analytics Engineer (H/F)
Job Description: Job title: Analytics Engineer Role Summary: Develop and optimize data pipelines for actionable insights, collaborating with consultants to model datasets for business outcomes. Expactations: Experience in transforming large datasets into strategic business insights. Project collaboration with multidisciplinary teams. Key Responsibilities: - Design and deploy robust data pipelines and models for scalable analytics. - Partner with consultants and engineering teams to define KPIs and technical requirements. - Maintain documentation and metadata for data accessibility and adoption. - Implement software engineering best practices (version control, testing, CI/CD). - Train and mentor junior data analysts. Required Skills: - Proficiency in SQL, Python, BigQuery, Git, dbt, Looker (Studio), Snowflake, Fivetran. - Experience in data pipeline development and business insight generation. - Strong collaboration, communication, and problem-solving abilities. - Initiative in analytical problem-solving and adaptability to evolving tech stacks. Required Education & Certifications: - Bachelor’s degree in data engineering, computer science, or related field. - At least 2 years of permanent contract experience in data engineering/analysis.

Paris, France

Hybrid

16-02-2026

Company Name: fifty-five
Job Title: Senior Data Consultant (H/F)
Job Description: Job Title: Senior Data Consultant Role Summary: Lead the planning, execution, and delivery of data-driven marketing solutions for clients. Bridge technical and business teams to activate advanced marketing actions, ensuring data quality, operational implementation, and measurable impact on digital performance. Expactations: - Minimum 2 years of consulting experience in data analytics or related fields. - Strong analytical and problem‑solving skills. - Excellent written and verbal communication in English and French. - Commercial mindset with ability to translate data insights into actionable business outcomes. - Proactive stakeholder management and adherence to project milestones. Key Responsibilities: - Champion data science and processing initiatives within digital marketing projects. - Execute data exploration, cleaning, and analysis to support activation strategies. - Ensure data accuracy and deliver high‑quality client deliverables. - Coordinate technical implementation and monitor operational progress. - Collaborate on the development of five‑55’s Data Science service offering (strategic, technical, operational). - Analyze performance indicators, identify optimization opportunities, and recommend data‑driven actions. - Present findings and recommendations to clients and internal teams. Required Skills: - Proficiency in Microsoft Word, Excel, and PowerPoint. - Strong SQL query writing ability. - Basic knowledge of Python for data manipulation. - Understanding of complex technical architectures and media activation ecosystems. - Knowledge of digital marketing, web analytics, media activation, and machine learning concepts. - Data‑driven storytelling and visualization capabilities. - Fluent English (written and spoken). Required Education & Certifications: - Engineer degree or dual commerce/engineering curriculum from a recognized institution.

Company Name: fifty-five
Job Title: Lead Data Consultant (H/F) Paris
Job Description: Job Title: Lead Data Consultant Role Summary: Lead and deliver advanced data projects, integrating data science strategies and technical expertise to enhance marketing, media, and customer experience solutions for global clients. Drive business development, collaborate across technical and business teams, and supervise junior/senior consultants. Expactations: Supervisory leadership in data science consulting, strategic project planning, business development contributions, and cross-departmental coordination to execute complex data initiatives. Key Responsibilities: - Manage end-to-end execution of data science projects, including technical design, implementation, and client delivery. - Collaborate with internal teams (data scientists, engineers, analysts) to develop scalable, client-focused solutions. - Translate business requirements into technical specifications for cloud-based and machine learning-driven projects. - Lead client stakeholder communications and act as a project/relationship manager for data initiatives. - Mentor junior consultants, provide technical guidance, and ensure project profitability and quality. - Support business development through client pitch preparation and commercial strategy. - Analyze data requirements, propose optimizations, and execute SQL/Python-based solutions. - Interpret and communicate complex cloud architecture designs to multidisciplinary teams. Required Skills: - Advanced data science/project management experience (3-6 years). - Strong analytical and problem-solving capabilities with ML/AI applications in digital marketing. - Proficiency in SQL, Python, and cloud technologies (architecture understanding). - Excellent verbal/written communication and commercial acumen for client-facing roles. - Cross-functional collaboration leadership in technical-business environments. - Digital marketing expertise, including web analytics and media activation strategies. Required Education & Certifications: Bachelor’s or master’s degree in data science, computer science, or related field. Relevant certifications in cloud computing (e.g., AWS/Azure) or analytics (optional).

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