Senior Analytics Engineer

September 13

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Logo of Super.com

Super.com

Hotel Booking • Travel Bookings • Artificial Intelligence • Fintech • Ecommerce

201 - 500

Description

• Evolve foundational data infrastructure to support finance department • Own analytics infrastructure end-to-end from data ingestion to reporting • Promote strong standards throughout the organization and help level-up team members

Requirements

• 3+ years of work experience as an analytics engineer or full stack data analyst • You are experienced in SQL, with an emphasis on writing performant code • You are a data modelling expert, and have designed schemas before at previous organizations, ideally using dbt • You have a strong comprehension of data warehouses and the modern data stack • You have a track record of delivering projects, including datasets that were used to drive key business outcomes • You can self-serve by building ELT pipelines and reverse ETL pipelines using off-the-shelf tools, or simple DAGs in Airflow leveraging python. • You have experience leveraging tools for data governance, data quality testing, and documentation • You can clearly communicate about technical subjects to non-technical people, and behave as a liaison between Business, Engineering, and Analytics • Ideal but not required: You have experience in accounting or finance

Benefits

• Competitive salary packages, equity options, great benefits from day one, wellness budgets, as well as personal and team-level development budgets • We are remote first – you have the flexibility to work from around the world and the hours that make sense for you– so that you can do your best work while living life on your own terms • Other perks include: unlimited PTO, recharge days, travel discounts on Super Travel, Weekly UberEats credit, annual company offsite • We welcome new family additions with generous parental leave and a flexible return-to-work plan • This is just scratching the surface– see our careers site for a more detailed overview of our perks & benefits

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