Senior Analytics Engineer

🕒 July 20

🇨🇦 Canada – Remote

💵 $118k - $170k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Super.com

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

✈️ Travel

💳 Fintech

📣 Marketing

💰 $60M Series C - Super.com on 2023-04

Travel • Fintech • Marketing

Super.com is a web-based application/website; the only available content is a runtime message stating that JavaScript must be enabled to run the app, so no details about its products, services, or target market are available from the provided text.

📋 Description

• Data-Driven Culture: You will be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making • Data Management: You will ingest, clean and organize raw data in a way that makes sense for both you and the team • Project Management: You will lead data projects from ingestion to reporting, showing your experience to oversee, scope, and work with ambiguity, making uncertainty certain • Collaborative Actualization: You will liaise between Business, Engineering, and Data to translate business requirements into proper data capture and schema design • Data Strategy: You will help shape the data model at Super, which will advance our broader analytics strategy and build trust within the organization • Teamwork: You will work with key stakeholders to understand existing processes and collaborate to design and implement improved and automated processes

🎯 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

• Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms. • Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites. • Everyday Perks: Weekly UberEats credits and travel discounts on SuperTravel help you enjoy the little things. • Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan. • Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one. • Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.