Executive, Analytics Engineer

5 days ago

Singapore SEPHORA Full time

Join to apply for the Executive, Analytics Engineer role at SEPHORA At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential and making a difference every day. Together, we belong to something beautiful. Sephora SEA’s omni‑channel business spans over 8 countries (Australia, India, Indonesia, Malaysia, New Zealand, the Philippines, Singapore and Thailand) with 100+ stores and boasts some global flagship locations such as ION and Raffles City in Singapore, F88 in Kuala Lumpur and Pitt Street in Sydney. Sephora SEA is experiencing rapid growth in the region with new store openings and business channels (i.e., Click & Collect and marketplace). We are looking for a passionate Executive, Analytics Engineer to join our data team and shape the future of beauty e‑commerce in Southeast Asia. This role reports to our Manager, Analytics Engineer in the tech organization and will be part of a highly collaborative team delivering our core reusable data model that enables a wide variety of use cases such as report building, insights generation and ML applications. Responsibilities Act as the primary owner in translating business needs and complex SQL queries into scalable, reusable data models using DBT. Understand complex business requirements and translate them into effective, insightful dashboards that support decision‑making. Build secure and scalable ELT data pipelines in Airflow and GCP. Create and maintain comprehensive documentation for both core and business‑specific data assets to ensure clarity and consistency across the organization. Ensure data models are accurate, complete, and reliable by managing the integrity and quality of all data assets. Continuously improve the performance of DBT models by applying best practices in query design and data transformations. Collaborate with scrum master, product managers, business stakeholders and peers to develop iteratively in sprints following agile processes. Qualifications At least 2 years in the data space as an analytics engineer / data analyst. Advanced proficiency in SQL, DBT and Big Query knowledge is a plus. Basic knowledge of Python programming. Demonstrated experience in building ETL (or ELT), airflow knowledge is a plus. Demonstrated ability to understand and translate business requirements into dashboards, DOMO or PowerBI knowledge is a plus. Ability to connect the dots between technical implementation work and business context. Benefits Community , in which authenticity is embraced, and the strength of our differences fuels our collective spirit. Culture of empowerment, learning & growth , that offers you the tools, space and opportunity to learn, innovate and lead. Work that brings fulfillment , from delighting clients every day, to inspiring our industry at large, every action makes a difference. It is in the Sephora DNA to champion a world of inspiration and inclusion where everyone can celebrate their beauty. You can be yourself, because you are what sets us apart. Join us and belong to something beautiful. Sephora is proud to be an equal opportunity workplace for all. We do not discriminate in recruitment, hiring, training, advancement, or other employment practices. We celebrate diversity and are committed to creating and fostering an inclusive environment for all employees. Seniority level Entry level Employment type Full‑time Job function Analyst Industries Retail #J-18808-Ljbffr

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