Data Analytics Leader
2 days ago
Knix is a pioneering intimate apparel and activewear brand that revolutionizes the industry with its best-in-class customer experience, innovative products, and strong brands. Founded in 2013, it has become one of the fastest-growing intimate apparel brands in North America and a globally recognized innovator within the apparel space.
We reach over 3 million customers through our online stores, retail locations across North America, and channels such as wholesale and Amazon.
About You
- You excel at leveraging data to drive actionable strategies and earn trust with internal business leaders.
- You have a proven track record of building and leading teams to define datasets, metrics, and key performance indicators (KPIs) aligned with business objectives.
The Opportunity
- Create and maintain a comprehensive roadmap for business intelligence (BI), including success metrics, goals, and KPIs.
- Develop and lead a team to build dashboards and visualizations that track KPIs and drive business insights.
- Maintain data pipelines, automate reporting, and ensure reliable delivery of dashboards and visualizations.
- Evolve frameworks for marketing measurement and analyze performance to identify growth opportunities.
What We Offer
- An estimated salary of $120,000 per year, reflecting your expertise and value to our organization.
- A dynamic and supportive work environment that fosters collaboration and professional growth.
- Opportunities to make a meaningful impact on our business and contribute to our mission of empowering people everywhere to be unapologetically free.
Qualifications
- 6+ years of experience in data analytics, data science, or a related field.
- 4+ years of creating dashboards, visualizations, and measurement frameworks for data-driven decision-making.
- Extensive experience with relational and dimensional datasets, data warehouses, and ETL techniques.
- Proficiency with Looker and LookML Models for building PDTs.
- Familiarity with tools like Tableau, Power BI, or other data visualization platforms.
- Advanced knowledge of SQL.
- Demonstrated ability to connect data analysis to actionable business strategies in retail or eCommerce environments.
- Experience with marketing attribution models and campaign performance analytics.
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