Lead Analytics Engineer
NetApp
Job Summary
As an Analytics Engineer, you will work on issues at the intersection of data science, data analysis, and data engineering. Your role will be to set up relevant datasets for our clients or internal needs: well-modeled, documented, reliable in terms of quality and availability, and meeting the needs of subsequent uses. As a lead, you will bring expertise and promote it within and outside the firm, participating in the formalization of offers based on your expertise.
Must Have
- Analyze data access needs in collaboration with business users, data analysts, and dataviz engineers
- Implement data flows and models using modern data stacks (SQL, dbt, ELT tools, GCP/Azure/AWS/Snowflake)
- Expose data in BI & visualization tools
- Maintain pipelines and implement alerts & data quality tests
- At least 5 years of professional experience
- Proficiency in GCP, Microsoft Azure, AWS, Snowflake, Python, SQL, Airflow, dbt, Git
- Strong analytical skills and ability to manage an analytical project end-to-end autonomously and rigorously
- Experience or desire to work on data marketing issues
- Experience or desire to work in consulting
- Fluent in French and English
Job Description
Company Description
M13h is a team of passionate consultants dedicated to the business & marketing performance of companies.
The firm combines Strategic vision with Data, Marketing & Technology expertise to accelerate the transformation of sector leaders towards data-driven management.
We master the entire data value chain and help brands like LVMH, FDJ, Salomon, Clarins, etc., increase their performance through various missions:
- Data Strategy: define strategy, data use cases, and the technological foundation to deploy it
- Adtech & Martech: implement technologies for data collection and exploitation (analysis, marketing activation, customer knowledge, etc.)
- Customer experience: optimize customer journeys and improve conversion rates
- Privacy: adapt to technological and regulatory changes while developing marketing performance
- Modern Data Platforms: build cloud data platforms using the power of modern data stacks
- Advanced Insights: leverage data to make informed decisions (dashboards, data analysis, data science, advanced modeling, etc.)
M13h is a member of the Cosmo5 Group and applies its data skills to over 1,300 multidisciplinary experts in more than 20 countries. All while remaining a human-sized structure where it's good to work!
Job Description
As an Analytics Engineer, you will work on issues at the intersection of data science, data analysis, and data engineering, and your role is to set up relevant datasets for our clients or internal needs: well-modeled, documented, reliable in terms of quality and availability, meeting the needs of subsequent uses.
As a lead, you will bring expertise and promote it within and outside the firm and participate in the formalization of offers based on your expertise.
To do this, you will intervene at different stages of projects:
- Analysis of data access needs, in collaboration with business users, data analysts, and dataviz engineers
- Implementation of data flows and models, based on modern data stacks (SQL, dbt, ELT tools, GCP/Azure/AWS/Snowflake, etc.)
- Data exposure in BI & visualization tools
- Maintenance of pipelines and implementation of alerts & data quality tests
Some examples of missions for illustration:
- Construction of a Customer Data Platform for a large retailer (8 brands / 30+ countries)
- Migration of a large dashboard infrastructure based on a Supermetrics stack to an Adverity+BigQuery stack
- Implementation of end-to-end management tools for several fast-growing startups
- Packaging of internal tools for custom attribution
...
Versatile, you are keen to understand the needs of your interlocutors to translate them into exploitable and good quality data structures. You know how to work autonomously on your missions and you wish to support and help younger consultants progress on your expertise and on modern data stacks.
Qualifications
Coming from a major business school, engineering school or equivalent, you have at least 5 years of professional experience.
You master the following technologies/tools/environments: (in bold the skills to prioritize for the current need for Salomon)
- GCP / Microsoft Azure / AWS
- Snowflake
- Python & SQL
- Airflow / dbt
- Git
You have good analytical skills and know how to manage an analytical project from end to end with autonomy and rigor. You have already worked / wish to work on data marketing issues and you have already had experiences / wish to work in the consulting world.
Spoken languages: French/English
Additional Information
3-step recruitment process including a case study
The Cosmo5 group incorporates diversity and gender equality throughout its recruitment process to guarantee an accessible working environment for everyone.