Director, Business Intelligence
San Francisco, CA
At Rothy’s, we know there’s a better way to do business, and it starts by putting the planet and its people first. More than 200 million single-use plastic bottles and 715,000 pounds of ocean-bound marine plastic have been transformed into our signature thread, creating wardrobe staples that look just as good as they feel. Striving for zero waste, we combine 3D knitting technology and handcrafted assembly to create machine washable styles that don’t compromise on comfort. From classic shoes to carry-everywhere bags, we create essentials for wherever you go.At Rothy’s, building a sustainable future is at the heart of everything we do.
We pride ourselves on fostering an inclusive environment at our HQ, retail stores and wholly-owned factory, and are growing our community every day.
About the Team:
Our Business Intelligence team has that incredible ability to distill the complex into the essential. From analyzing business trends to providing an in-depth look at consumer behavior, this team takes data and numbers—and transforms them into meaningful insights. The important work that these analytical minds spearhead is essential to the business, helping us determine the best path forward.
About the role:
As the Director, Business Intelligence, you will be a thought leader who helps shape and execute the data strategy that drives business decisions for global growth. You will be responsible for building and leading an agile team that ensures data integrity, governance, and accessibility, supporting stakeholders in finance, marketing, strategy, and technology.
What you’ll do :
- Data Governance & Standardization: Establish and enforce data governance frameworks to ensure consistent, accurate, and secure data across the organization. Standardize data processes to support effective decision-making.
- Business Intelligence Strategy: Develop and execute a comprehensive Business Intelligence strategy, aligning data initiatives with business objectives. Partner with teams across finance, technology, marketing, and strategy to ensure data is accessible, reliable, and actionable. Partner with the Data Engineering and Technology team to enable appropriate data flow/data model, development tools/technology, rapid prototyping and inform the design of analytics products.
- Data Automation & Analytics: Support the integration of predictive analytics, machine learning, and AI to enable proactive decision-making and scenario planning. Implement Business Intelligence tools and dashboards to provide real-time insights for business stakeholders.
- Leadership & Team Management: Lead and develop a team, fostering a culture of innovation, collaboration, and continuous improvement. Provide guidance on Business Intelligence best practices, professional development, and career growth.
- Cross-functional Collaboration: Work closely with senior leaders in finance, technology, strategy, and marketing to understand business needs and translate them into Business Intelligence solutions. Provide actionable insights to drive business performance and growth. Partner with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language.
- Continuous Improvement: Identify opportunities for process improvements and implement best practices in data management, reporting, and analytics. Stay up to date with the latest Business Intelligence trends, tools, and technologies to keep the organization on the cutting edge of data-driven decision-making.
You are:
- An exceptional communicator and presenter, with the ability to convey complex concepts clearly and succinctly on behalf of business partners and to senior executives
- Well versed in user behavior analytics tools eg. Google Analytics, Segment, Amplitude, or Adobe Analytics
- Well versed in key BI tools eg. Looker, Tableau, QlikSense, Domo, Thoughtspot, or PowerBI
- An effective leader who can guide the department through complex, ambiguous situations and change
- Able to identify department patterns/trends and build optimal department policies and processes
You have:
- 8-10 years of professional experience within a data driven consumer product organization or consulting firm; an MBA preferred
- In-depth knowledge of Ecommerce
- Fluency in translating complex data into actionable insights for multiple teams and demonstrated ability to drive operational changes
- Strong analytical, quantitative, and project management skills
- Experience working cross-functionally among business stakeholders and technical teams
- SQL fluency is a must. Hands on experience with using SQL to pull data for complex analytics
- Demonstrated experience with statistical methods such as A/B testing and experimentation, propensity scoring, segmentation/clustering, and regression analysis
- Experience with cloud-based data platforms
- Familiarity with data engineering and automation tools
- Knowledge of consumer brands or omni-channel retail experience
Our benefits:
- Generous paid time off
- 401k matching
- Comprehensive health plans for you and your family
- Supplemental mental health benefits
- Monthly wellness reimbursement
- Employee Discount Program!
Compensation Range: $187K - $220K
