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Senior Data Analyst

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 looking for a Senior Data Analyst to join our organization to help unlock insights that take our business to the next level. You will build business performance dashboards, socialize learnings and recommended growth opportunities.  You will partner with key stakeholders to dive deep into the business challenges and identify insights that will drive product and program strategy. This role requires an individual with excellent analytical abilities, as well as outstanding business acumen.

About You

  • You’re a critical thinker and problem solver – you have a passion for exploring data and formulating insights to drive towards action.
  • You are an expert in partnering and earning trust with internal business leaders to drive and influence key business decisions.
  • You are adaptable and self-motivated.
  • You thrive working in a dynamic fast-paced environment – the hustle excites you.
  • Above all, you’re proactive, positive and inspired by Knix or KT by Knix and our mission!

The Opporunity

  • Conduct comprehensive analysis of sales, marketing, and customer data to uncover meaningful trends, untapped opportunities, and areas for optimization.
  • Lead collaborative efforts with cross-functional teams to identify data requirements aligned with business objectives.
  • Employ advanced SQL techniques to extract, manipulate, and dissect data from diverse sources including databases and data warehouses.
  • Spearhead the creation and maintenance of sophisticated dashboards on Looker, emphasizing the visualization of key performance indicators crucial for business growth.
  • Remain abreast of industry trends and emerging best practices in data analysis and visualization, incorporating relevant methodologies into our analytics framework.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years in e-commerce and retail data analysis, showcasing a track record of delivering actionable insights.
  • 5+ years of SQL experience, adept at handling complex datasets with ease.
  • Proven expertise in building comprehensive dashboards and visualizations on Looker or analogous BI platforms, prioritizing clarity and strategic relevance.
  • Knowledge in Python is a plus.
  • Exceptional problem-solving skills coupled with attention to detail, ensuring accuracy and rigor in analysis.
  • Outstanding communication and collaboration skills, adept at distilling complex insights into clear, compelling narratives.
If you possess a passion for uncovering actionable insights and thrive in a dynamic, data-driven environment, we encourage you to apply!
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/0910869e-4395-4d10-9dc3-7dab898b742f/apply?lever-source=Job%20postings%20feed→

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