Analytics Engineer (H/F)

About fifty-five

fifty-five is a new kind of data company that helps brands transform with data and AI to improve their marketing operations through a combination of specialized consultancy and technology services.

As the strategic data pillar of The Brandtech Group, we offer services that combine strategy consulting, cloud services, media consulting and customer experience.

We are made up of over +400 digital experts. Digital consultants, tracking and media specialists, engineers and data scientists all work in close collaboration to provide senior-level marketing consultancy and technical support to our clients, in every type of industry, all around the world.

As a partner to advertisers from data collection to activation and exploitation, we help organizations become truly omnichannel entities that control the efficiency of their digital ecosystem and its synergies with the physical world.

Headquartered in Paris, 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. fifty-five attaches particular importance to the well-being of its employees, which enabled it to be included in the Best Workplaces France ranking in 2018.

Who you are

You are eager to use large databases to unravel complex business challenges, collaborating closely with consulting teams, and steering projects towards impactful and tangible business success!

You’re a data practitioner with a track record for designing, building and applying data analytics to large databases. You have a strong understanding on how to use data to answer complex business questions and are passionate about unlocking that capability across the consulting teams. You have a keen sense of the big picture and can effectively drive projects toward realistic business outcomes.

As an analytics engineer, you will be a key contributor in helping our stakeholders extract and derive more value from its datasets through scalable data pipelines and analytical steps. You will work closely with our consulting team, modeling data and providing clean datasets to create crucial insights.

What you will work on

• Transform raw data into business ready datasets that are both query-able and easily understood by our consultants and stakeholders. You will reconcile data from many different sources to extract specific insights.
• Work closely with consultants and engineering team to understand the business needs, define data requirements (KPIs) and productionalize data transformation pipelines.
• Maintain documentation and metadata to facilitate the understanding, the access and the 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 growth of the analyst across the organization via knowledge sharing and coaching

How you will do your work

We believe that the quality of the delivery lies in the manner or approach used. In this position, your individual aptitudes and capabilities should be firmly based on the following competencies

• Good judgements: Take ownership of the results. Apply analysis, identify patterns and think about the business implications of your results.
• Teamwork and communication: The fast paste of the tech environment makes it hard to follow the latest trends. Benefit from and to our collective knowledge.
• Knowledge and skills plasticity: Actively learn and apply specific domain knowledge to continually enhance and improve

Requirements

• Fluent in French
• SQL, python, BigQuery, git, dbt, Looker Studio, Looker, Snowflake, Fivetran

Benefits

To change depending on location

• Being part of a multicultural, dynamic and fast-growing team
• Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions). Including one week of onboarding at the start.
• Private medical coverage through AXA
• 50% of transport fees refund
• The flexibility to work remotely for part of the week
• 10€ restaurant vouchers per day
• 25 days holiday per year, in addition to UK bank and public holidays
• Company-sponsored sporting and social activities
• The opportunity to get involved in internal projects such as the Data Hive (tech for good initiative), or specific communities converting sustainability, inclusion and diversity topics.