Senior Director of Data Science and Analytics at Alo Yoga

Read by 136 job seekers.

Beverly Hills, California, United States

WHY JOIN ALO?

Mindful movement. It’s at the core of why we do what we do at Alo—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

Alo is looking for a Senior Director of Data Science and Analytics to own & optimize data governance across our digital commerce platforms, driving robust web & mobile app performance insights to inform business enhancements. This individual should be a thought leader on digital analytics, privacy & industry trends (browser cookie depreciation, first party data, etc.). Reporting to the VP of Data & MarTech, this individual will collaborate closely with our engineering & product teams as the in-house expert across all technical analytics topics.

RESPONSIBILITIES

Collaborate closely with digital product & engineering to implement advanced analytics & tracking capabilities across all digital properties.
Responsible for data integrity by owning all web & mobile analytics data sources & tag management, continuously optimizing & auditing.
Own & advance our server-side, mobile app & headless tracking set-up
Collect, clean & manipulate data – use of SQL & fundamentals of data engineering
Spearhead advanced digital analytics initiatives related to identity and clickstream data.
Operate as internal expert for GA4 and any other digital analytics tools
Lead team in optimizing daily/weekly/monthly product insights, informing consumer journey enhancements and reporting on the subsequent performance impact
Guide team focused on A/B testing & personalization efforts, instilling culture of disciplined statistical analysis.
Guide team on customer journey analysis, heat mapping, session recording and user research best practices
Work closely with our technology team to ensure best practices across cookie consent management (CCPA, GDPR, etc)
Directly manage a team of Analyst to execute across supported channels.
Motivate and drive a continuous performance-based culture within the team
Actively maintain and build a culture of learning, respect, transparency, and trust

QUALIFICATIONS

15+ years of professional data science analytics experience at a high growth company or ecommerce business
Deep familiarity with Google Analytics, GA360, GA4, Adobe Analytics
Experience with analytics & tracking platforms such as Segment, Rudderstack
Deep familiarity with tagging tools (GTM, Tealium, Adobe etc.)
Experience utilizing a customer journey analysis tool (Mixpanel, Heap, Quantum Metric, Full Story etc)
Significant experience utilizing data warehouse or CDP to consolidate customer profiles & utilize across owned digital channels
Well-versed in advanced statistical analysis techniques and leveraging BI tools (e.g. Looker, Tableau)
Demonstrated leadership experience, willing to coach & develop team of high performers
Strong desire to collaborate cross-functionally, understanding varying objectives across business
You lead with the humility and self-awareness needed to navigate challenging situations.
You are smart and get things done
This position requires you to be in Los Angeles and work onsite full-time

The base salary range for this position is $220,000-$265,00 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

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Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $150,000 - $220,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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