Senior Data Analyst

About the role

The Senior Data Analyst will partner with a key business function within SKIMS, leveraging analytical skills to drive impactful decisions through clear, actionable insights.

Responsibilities

• Partner with a dedicated business function as the primary analytics contact, owning analytical deliverables and translating business questions into clear, data-driven recommendations.
• Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team’s capabilities.
• Apply statistical and predictive modeling techniques to uncover patterns, forecast outcomes, and support decisions around areas such as customer lifetime value, demand planning, and resource allocation.
• Identify opportunities for optimization, customer segmentation, and targeting across the supported business function by providing stakeholders with actionable insight into customer preferences, behaviors, and trends.
• Design and execute experiments, including A/B tests, to measure the impact of business initiatives and communicate results and recommendations clearly to stakeholders.
• Evaluate and validate analytical models using appropriate statistical performance metrics to ensure accuracy and reliability.
• Develop analytics roadmaps in partnership with business stakeholders, aligning data initiatives to functional goals and translating trend analysis into actionable forecasts.
• Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization.
• Create executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI that empower self-service, data-driven decision making.
• Build strong relationships with business stakeholders, proactively identifying analytical needs, communicating findings in clear and compelling ways, and influencing decisions at the leadership level.
• Serve as a resource and informal mentor to junior team members, sharing expertise in analytical methods, data best practices, and stakeholder communication to continuously elevate the team’s capabilities.

Requirements

• Bachelor’s degree in Statistics, Data Science, or a related field and 5+ years of experience in a senior analytics role.
• Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods) is a plus.
• Experience must include accessing, transforming, and modeling large datasets using SQL and Python to surface patterns, trends, and actionable insights, including experience applying predictive and statistical models to business problems.
• Querying and manipulating large datasets using BI and analytics tools (e.g., Snowflake, SQL, Python, Looker), with strong command of data wrangling, transformation, and exploratory analysis.
• Designing and measuring experiments, including A/B tests, to evaluate business initiatives.
• Creating executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI.
• Leading end-to-end analytics projects with minimal oversight, defining measurement frameworks and translating ambiguous business questions into structured analytical plans.

Skills, Knowledge and Expertise

• Strong analytical instincts with the technical skills to back them up.
• Natural communicator and business partner; comfortable presenting to leadership and translating technical findings into clear business narratives.
• Curious and self-directed; thrive in a fast-moving environment, can operate with ambiguity, and take ownership from question to recommendation without needing heavy direction.
• A team builder at heart; take pride in sharing knowledge, raising the bar for those around you, and contributing to a data culture where good decisions are the norm.

Benefits, Culture and Perks

• Up to 100% Company Paid Healthcare (medical, dental, vision)
• Kind Body Fertility Benefits
• 401(k) savings plan with up to 4% match
• Unlimited PTO
• Full Access to LinkedIn learning
• Employee Discounts
• Perks (HQ Location)
• Free weekly catered lunch at HQ – M/T/W/Th
• Dog-Friendly office on a Thursday and Friday
• Free Swag Giveaways
• Annual Holiday Party
• Annual Summer Party
• Invitations to pop-ups and other company events
• Complimentary daily office snacks and beverages
• Compensation: $130,000 - $150,000 / year