Data Analyst Senior - Store Operations Shrink & RFID - Seattle

About the Role

Key Responsibilities

• Lead the collection, integration, and analysis of diverse data sources such as RFID signals, inventory metrics, and sales data.
• Drive analysis with minimal oversight, applying strong business acumen to shape inquiries and deliver decision-ready insights.
• Proactively move from insights to implications, drafting compelling leadership-ready storylines.
• Provide expertise in senior leadership forums to support decision-making around tactical shrink activations aimed at addressing root causes.
• Monitor Shrink signals weekly and share insights that lead to identifying root causes.
• Acquire and transform data to support ongoing and ad hoc insights and analysis.
• Perform measurement analysis, identify underperforming tactics, and contextualize results for actioning.
• Align cross-functional teams to tasks and identify employees best positioned to complete them.
• Make effective decisions when presented with multiple options for project progression.
• Communicate status, issues, and changes with stakeholders down to the executive level to keep projects aligned with their goals.
• Adjust schedules and targets as needs or financing change.
• Manage full project lifecycle including requirements, scope, schedule, resources, testing, quality, release, costs, and changes for cross-functional initiatives.
• Conduct complex statistical analyses, identify measures, and conduct experimentation on new tactics.
• Look into new tactic deployment, measurement, and testing based on insights.
• Set requirements for goals/targets and project manage to achieve financial milestones.
• Oversee ongoing phasing and continuous improvement.
• Manage stakeholders on the upkeep of data sources.
• Manage individual to multiple highly complex projects and resolve workstream breakdowns.
• Apply project management concepts, theories, and principles with business insights to projects.
• Create long- and short-term plans, set targets for milestones, and adhere to deadlines.
• Perform quality control throughout project development to identify problems and solutions to maintain standards.

Requirements

• Bachelor's degree in a quantitative field; advanced degree a plus.
• 5+ years of related work experience in extracting, manipulating, and analyzing data to deliver business insights.
• Expert in SQL with ability to write repeatable, robust code, optimize database concepts, and acquire data from multiple sources efficiently.
• Expert knowledge of at least one programming language for analysis, modeling, and automation, with the ability to select appropriate tools and assess trade-offs.
• Ability to creatively and effectively apply descriptive and inferential statistical methods to answer complex business questions.
• Ability to conduct analyses with complex analytical storytelling and recommendations, creating narratives for business change.
• Experience using visualizations to summarize large data sets and highlight key insights, combining statistical knowledge with graphical design.
• Experience related to Brick-and-Mortar Retailers.

Nice to Have

• Experience with modern business enterprise problems.
• Experience with deployment, measurement, and testing of tactics in retail environments.

Qualifications

• Educational background in a quantitative field; advanced degree preferred.

Benefits & Perks

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• Performance-based incentives/bonuses
• Benefits including 401k, insurance options, PTO, Holidays, and more