Analyst, Ecommerce & Data Science

This position will play a key role on Vuori’s Ecommerce Team as we look to build the analytics infrastructure necessary to accelerate growth, optimize customer acquisition and retention strategies and develop proprietary measurement capabilities. The Analyst of Ecommerce & Data Science will be expected to take a hands-on approach and become a master of Vuori’s Ecommerce Data, develop data frameworks and reporting tables that will be utilized by our Analysts and partner closely with our Data Enterprise Team to develop data pipelines to fuel our reporting needs.

In the short/medium term (6 months to 1 year), the Analyst will primarily be responsible for the tactical movement of data, data cleansing, data integrity management and data preparation in support of our Analysts and Data Modeling initiatives. The Analyst will be expected to work closely with our first-party customer and sales data, third party vendor data (such as Facebook and Google Ads) and session data to develop unified tables and schemas. Projects that her/his work will support include but are not limited to:

• Market Basket Analyses
• Customer Cohort and Omni Channel Customer Analysis
• CDP (Customer Data Platform)
• Data Activation and Automation.
• Ecommerce KPI Ownership
• Media Mix Modeling

The Analyst will collaboration extensively with our Central Data Enterprise & Analytics Team from conceptualization to execution of new analytic ideas, data source integrations and data pipeline development and management. The Analyst will be expected to be hands-on with Vuori’s data and spend the majority of their first in in data preparation and management.

In the long term (1 year+), the Analyst will pivot to manage endeavors that will directly impact the data-driven decision-making and strategies that drive Ecommerce. They will work directly on and own analyses that drive insights into Ecommerce Channel Optimization and Customer Strategies (both acquisition and retention). Additionally, rather than just preparing data for modeling initiatives, the Analyst will play a key role in model ownership and application across all Ecommerce Channels.

The Ecommerce Analytics team is cross-functional and collaborates regularly with a variety of teams both within ecommerce (Performance Marketing, Retention Marketing, Media and Site Experience) as well as teams outside of ecommerce (Retail, Real Estate, Finance, Product, Planning, Merchandising). It is essential that all candidates be team players, eager to collaborate and excited to build solutions to drive the business forward. 

Short/Mid Term (6 Months to 1 Year):

• This position will own the tactical movement of and structuring of Ecommerce Data
• Short/Mid Term secondary focus will be on developing automations to assist the broader Ecommerce Team on minimizing manual tasks and data preparation
• This role will partner closely with our Central Data Enterprise Team (VP = Himanshu Shekhar) on supporting engineering development for Ecommerce and utilization of core reporting tables (managed by Central Data Enterprise Team).
• Short/Mid Term primary focus will be on preparing and maintaining the data necessary to support our Analysts, Stakeholders and Modeling Initiatives to ensure we have accurate and actionable data.
• Areas of responsibilities will include data integrity management, data cleansing, reporting support, data preparation and data pipeline development and maintenance (in partnership with Central Data Enterprise Team).
• This position will be a hands-on lead who empowers the Ecommerce Analytics Team with the necessary date for Analytics, Insights and Data Science/Modeling
• Short/Mid Term tertiary focus will be on supporting stakeholders with reporting and dashboarding development (as needed on ad hoc basis)

Long Term (1 year+)

• In the short term, the majority of their time was spent in data preparation, but in the long-term the role will shift into running Ecommerce Data Models, managing our Customer Data Model and surfacing key insights on acquisition, retention and channel performance to our stakeholders (both internal and external).
• After the framework for Ecommerce Data has been developed and executed and a clear partnership has been established with the Central Data Enterprise Team, this role will pivot more into business analytics and insights.

Responsibilities include but are not limited to:

• Develop solutions to democratize data to the broader ecommerce team with self-service options and capabilities
• Build and maintain daily weekly, monthly and quarterly reporting for the E-Commerce channel
• Lead QA initiatives on Ecommerce Data, KPIs and Reporting
• Serve as a subject matter expert for all ecommerce and demand-based data pipelines
• Design solutions that support the integrity of ecommerce data across our ecosystem of platforms and reports
• Pioneer automation efforts that enable the Ecommerce Analytics and broader Ecommerce team to spend less time procuring and validating data and spend more time analyzing
• Collaborate with ecommerce, analytics, engineering and technology teams to build data models and transformations to enhance our reporting capabilities.
• Support ecommerce forecasting initiatives and partner with team leads on monthly forecast updates
• Prepare and clean first-party and cross channel data for utilization in Media Mix Models
• Develop documentation for all relevant reporting and data models to ensure accuracy, consistency, and visibility

• Attention to detail and strong desire to vet all inputs and outputs for accuracy and reliability 
• Experience with the Google Marketing Cloud (BigQuery)
• Google Sheets Power User
• Experience in apparel or omni-channel commerce business preferred
• Proficient in data manipulation and data-wrangling
• Ability to manage projects independently and set deliverables and expectations with stakeholders
• Understanding of the core concepts of Digital Marketing, Social Ad Platforms, Web Analytics Tools (Google Analytics) and other advertising technologies
• Experience with Tracking (Google Tag Manager) and data privacy (GDPR + CCPA) an added plus
• Expertise in ETL solutions including analyzing, cleansing, joining and automating data sets
• Expertise in SQL and data warehousing (Snowflake)
• Ability to develop accurate, user-friendly and scalable data visualizations (Tableau, Looker, PowerBI)
• Experience in working with Data Engineering Teams on developing and building data pipelines
• Proven ability to work and communicate cross-functionally between business and technical stakeholders

Pay Range:$100,000 - $120,000

Benefits:

• Paid Time Off
• Employee Discount
• 401(k)
• Health Insurance

All your information will be kept confidential according to EEO guidelines.