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Analytics Engineer

Knix is a direct to consumer intimate apparel brand that is re-inventing intimates for real life. Through our innovative products and our engaged community, we are empowering people everywhere to be unapologetically free. Launched in 2013, we are one of the fastest growing companies in Canada and globally recognized as an innovator within the apparel space.
The Knix Data team is seeking an experienced Analytics Engineer who will be pivotal in building, maintaining, and optimizing our data models and analytics platforms. The ideal candidate will have deep expertise in DBT (data build tool) and Looker, combined with a rich background in E-Commerce data modelling and product analytics. This role requires the development of innovative solutions to complex data challenges, enhancing our analytics capabilities and providing strategic insights that support our business objectives. You will be instrumental in transforming raw data into insightful, actionable business intelligence, driving our strategic decisions through data.

About You

  • You have a passion for diving deep into data, unraveling its complexities, and modelling it in a way understandable across the organization. 
  • You are an expert in developing and communicating complex data insights across the organization that makes you a valued partner.
  • You thrive in a dynamic and fast-paced environment. You are highly adaptable, able to pivot between tasks and projects with ease.
  • You have a proactive approach to data analytics and data modelling.
  • Your willingness to explore new tools, methodologies, and processes to enhance data modelling and analytics capabilities sets you apart.

The Opportunity

  • Design, develop, and maintain scalable and robust data models for analytics engineering infrastructure using DBT to support data analysis, business intelligence, and data science teams.
  • Write complex production grade SQL to create scalable analytics solutions (dashboards, data models, alerts, tools) to enable self-serve reporting and analysis capabilities of your users.
  • Collaborate closely with business stakeholders to extract requirements for data modelling, reporting and visualization, ensuring high data quality and relevance.
  • Apply strong SQL skills and Looker PDT (Persistent Derived Tables) to manipulate and deliver large datasets in digestible format to business stakeholders.
  • Identify opportunities to apply data modelling and advance analytics techniques to drive insights and leverage Looker to create compelling and accurate data visualizations and dashboards, ensuring they meet business requirements.
  • Work with product analytics tools such as Amplitude, Segment in Snowflake to analyze data structure and data schemas.

Qualifications

  • 3+ years of experience in Analytics Engineering with strong knowledge of data modelling techniques and relational databases
  • 2+ years of experience with data exploration tools such as Looker or Tableau and data transformation tools like DBT. 
  • Experience in DBT, looker and snowflake are a must have.
  • Proficient at using SQL for data pipeline development in a modern data stack such as Fivetran, Snowflake and DBT.
  • Ability to take complex data and model it to present it in a clear manner to cross-functional groups.
  • Exceptional skills in workflow orchestration, data modelling, and analytics.
  • Basic to intermediate knowledge of Python is a plus.
How we Hire
Our people are what make Knix, Knix! Our people are passionate and have a strong belief in our mission. Our people are naturally curious and ambitious by nature. Employees feel respected and supported at Knix. We take an inclusive and equitable approach offering the same interview experience to every candidate we meet with. Knix is an equal opportunity employer, we celebrate everyone and their intersecting identities. We know and believe that diverse and inclusive teams empower us to make better decisions and inspire innovation so that we can better serve our customers and community. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don’t hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.

To apply, please visit the following URL:https://jobs.lever.co/knix/cb57de20-4d65-4053-bc8e-235c4a1a2ed7/apply?lever-source=Job%20postings%20feed→

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