Senior Analytics Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

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Seniority

Senior From the posting source

Schedule

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Weekend work

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About this role

Senior Analytics Engineer Paris, Ile-de-France, France About us Ankorstore exists to help independent brands and retailers thrive by making wholesale simpler, faster, and more profitable. We're building the infrastructure that powers modern wholesale for brands - from getting discovered by the right retailers to ordering, logistics, and financing - so both sides can work together on better, more sustainable terms. The Senior Analytics Engineer will enable Ankorstore's teams to make reliable, data-informed decisions by designing, building, and maintaining high-quality analytical data models. You are expected to work closely with internal customer teams (Product, Engineering, Finance & Operations) to understand their analytical needs, prioritize initiatives, and deliver trusted data assets that support day-to-day decision-making and long-term strategy. You will also evolve in a team composed of one Platform Lead, one Data Engineer and three Senior Analytics Engineers. Main Responsibilities : - Data Product Management: Partner closely with Product, Engineering, Finance & Operations teams to understand business questions and translate them into clear analytical requirements - Data Democratization: Mentor and animate our community of data champions to improve self-service among teams in our BI layer (Sigma Computing and Amplitude) - Data Modelisation : Design, build, and maintain analytics-ready data models using dbt on BigQuery - Governance & Quality : Implement rigorous data quality frameworks, observability, and security protocols to ensure the integrity and privacy of all data assets. Preferred Experience : - 3+ years in an Analytics Engineer or Data Analyst position - Expert-level proficiency in SQL and dbt - Expert-level in

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