Analytics Engineer
Digital
Analysis
Master
Medior (3+)
- Location
- Paris, Île-de-France
- Work type
- Consultancy
- Work model
- Parttime, Hybrid
Responsibilities
About the role:
This role is central to our data strategy and requires a balance of technical expertise, business acumen, and leadership skills. As an Analytics Engineer, you will be at the heart of our data-driven initiatives, working closely with cross-functional teams to transform raw data into a single source of truth data mart. Your work will directly influence key decisions in growth marketing, product analytics, and business performance.
What You’ll Do
- Design, implement, and maintain efficient and reliable data pipelines using a modern data stack: Airflow, Snowflake, DBT
- Develop advanced data models to support complex analytics, including attribution modeling for conversion/traffic KPIs(data driven modeling), user behavior analysis and A/B testing.
- Collaborate with marketing, product and tech teams to understand their data requirements and translate these into sophisticated technical solutions.
- Ensure scalability and performance of our data infrastructure to handle large-scale, multi-faceted data sets from diverse sources.
- Implement and maintain data quality checks and monitoring systems for accuracy and consistency.
- Innovate and integrate new technologies and methodologies to enhance data capabilities across marketing and product domains.
- Assist the Marketing analysts & business teams in building key dashboards in Tableau to enable data driven decision-making.
Requirements
Who you are
- Full English proficiency (French is a plus, please send your application in ENGLISH only)
- Bachelor’s/Master’s in Computer Science, Engineering, Statistics, or related field.
- Minimum 2-3 years experience in analytics engineering, with strong skills in ETL, data warehousing, dataOps and data modeling.
- Advanced experience in DBT for data modeling.
- Proficient in SQL and programming languages like Python or R.
- Experience with cloud data technologies and big data tools.
- Apache Airflow: Experience with workflow management.
- Git: Solid knowledge in version control and CI/CD integration
- Cloud Service: AWS, Snowflake or similar cloud experience
- Data Visualization Tools: Proficiency in tools like Tableau, Looker, Snowsight.
- Tracking tool: Prior exposure to Snowplow Analytics, Google Analytics or Adobe Analytics raw data.
Offer
- Enjoy a competitive salary package with extra perks that recognize your talent.
- Advance your career with a clear growth path, coaching, and mentoring to support you.
- Thrive in a dynamic and supportive environment where you can truly make an impact.
- Work when and where you perform best, ensuring an optimal work-life balance.
- Choose a flexible transport solution, from a company car to a public transport subscription.
- Expand your network and enjoy unforgettable moments at exclusive events and afterworks.
- Grow your skills with external courses and our in-house Pauwels Academy.
- Work on exciting projects with industry leaders in Life Sciences, Engineering & Digital.
- Seize opportunities at every level, from a strong start to career acceleration and expert collaboration.
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