Analytics Engineer (M/F)

About fifty-five

Fifty-five is a unique data firm that assists brands in their transformation with data and AI. Our goal is to optimize their marketing operations through a mixture of specialized consultancy and tech services.

As the strategic data foundation of The Brandtech Group, we provide services uniting strategy consultancy, cloud services, media consulting and customer experience.

We are comprised of over +400 digital specialists. Digital consultants, tracking and media experts, engineers and data scientists closely cooperate to offer high-level marketing consultancy and technical support to our clientele across various industries, around the globe.

As a partner to advertisers from data collection to activation and utilization, we assist organizations in becoming truly omnichannel entities capable of managing the efficiency of their digital ecosystem and its interactions with the physical world.

Our headquarters is located in Paris, and we operate across 3 time zones with our teams stationed in 10 offices located in cities like Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore and New York. Fifty-five places enormous emphasis on the welfare of its employees, a factor which enabled us to be recognized in the Best Workplaces France ranking in 2018.

Who you are

You're driven to utilize vast databases to decipher complex business challenges, work closely with consulting teams and guide projects towards significant and tangible business success.

You're a data practitioner with a history of designing, constructing and applying data analytics to large databases. You have strong knowledge of how to use data to answer complex business questions and are passionate about enabling that capability within the consulting teams. You see the larger picture and can effectively steer projects towards realistic business outcomes.

As an analytics engineer, you'll contribute meaningfully in helping our stakeholders extract and unlock more value from its datasets through scalable data pipelines and analytical steps. Collaborating closely with our consulting team, you'll model data and provide clean datasets for creating essential insights.

What you will work on

• Transform raw data into business-ready datasets that are queryable and easy for our consultants and stakeholders to understand. You'll harmonize data from multiple sources to extract specific insights.
• Work closely with consultants and the engineering team to understand business needs, define data requirements (KPIs) and turn data transformation pipelines into regular operations.
• Maintain documentation and metadata to facilitate understanding, access and adoption of the created data
• Ensure data quality by applying software engineering best practices to analytics code (version control, quality assurance, monitoring, continuous integration)
• Support the development of the analyst across the organization by sharing knowledge and providing coaching

How you will do your work

We believe that the quality of the work highly depends on the approach employed. In this role, your personal skills and abilities should be based on the following competencies:

• Good judgement: Take responsibility for the results. Conduct analyses, identify patterns and think about the business implications of the outcomes.
• Teamwork and communication: The rapid pace of the tech environment requires us to stay abreast of the latest trends. Leverage and contribute to our collective knowledge.
• Knowledge and skill flexibility: Constantly learn and apply specific domain knowledge to continually improve

Requirements

• Fluency in French
• Proficiency in SQL, Python, BigQuery, Git, DBT, Looker Studio, Looker, Snowflake, and Fivetran

Benefits

Benefits may vary based on location:

• Joining a multicultural, dynamic and rapidly expanding team
• Continuous (and accredited) training on the digital ecosystem and technologies (initial training for all new hires, followed by regular training sessions). This includes a week-long onboarding at the start.
• Private medical coverage through AXA
• 50% refund of transportation fees
• Option to work remotely part of the week
• 10€ daily restaurant vouchers
• 25 annual leave days, in addition to UK bank and public holidays
• Company-sponsored athletic and social activities
• The opportunity to participate in internal projects such as the Data Hive (tech for good initiative) or specific communities around sustainability, inclusion and diversity.