ZipRecruiter

Log In

1

Merchandise Data Analyst Jobs in Bothell, WA (NOW HIRING)

Hasbro

Director Analytics WOTC

Renton, WA · On-site

... data-driven planning and efficiency improvements. * Improve business insights, merchandising ... Integrate analytics outcomes into annual and long-range planning processes, securing executive ...

Nintendo of America Inc

Allocation Analyst

Redmond, WA · On-site

$82K - $131K/yr

The Allocation Analyst supports Merchandising and Merchandise Planning by owning inventory ... Analyzes industry trends and data in supply chain to identify problematic areas and suggest ...

Nintendo

Allocation Analyst

Redmond, WA · On-site

$82K - $131K/yr

The Allocation Analyst supports Merchandising and Merchandise Planning by owning inventory ... Analyzes industry trends and data in supply chain to identify problematic areas and suggest ...

Zumiez

Ecommerce Analyst

Lynnwood, WA · On-site

$77K - $96K/yr

Have a proven track record analyzing data and creating actionable plans to drive sales or reduce ... Digital Merchandising * Zumiez App Product Manager To Apply: Please email cover letter and resume ...

Payabli

FP&A Analyst

Seattle, WA · On-site +1

Evaluate merchant profitability, cohort performance, and partner economics * Partner with ... Translate complex financial data into clear, compelling narratives for executive and investor ...

CSC Generation

Senior Strategy Analyst

Seattle, WA · Hybrid

... data into actionable recommendations. This is a lean team. You will own a lot, move fast, and make ... Drive strategic and analytical rigor across functions such as Merchandising category-level LRPs ...

Zumiez

Treasury Analyst

Lynnwood, WA · On-site

Monitor, change and analyze bank, merchant and courier as needed. * Open and close local bank ... Own process to deliver banking data to reconciliation system * Participate and support payment and ...

CSC Generation

Senior Strategy Analyst

Seattle, WA · On-site

... data into actionable recommendations. This is a lean team. You will own a lot, move fast, and make ... Drive strategic and analytical rigor across functions such as Merchandising category-level LRPs ...

Voluble Systems LLC

Business Analyst

Seattle, WA

... ReSA), Retail Merchandising System (RMS),Oracle Retail Integration Bus(RIB), for lululemon ... Develops architecture blueprints, roadmaps using Microsoft Visio, Data modelling tools in Oracle ...

next page

Showing results 1-20

All JobsMerchandise Data Analyst JobsMerchandise Data Analyst Jobs in Bothell, WA

Merchandise Data Analyst information

See Bothell, WA salary details

$38K

$92.4K

$152K

How much do merchandise data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for merchandise data analyst in Bothell, WA is $92,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 per year, depending on experience, location, and employer.

What does a merch analyst do?

A merchandise data analyst examines sales, inventory, and market data to identify trends and optimize product assortments. They use tools like Excel and data visualization software to support decision-making and improve sales performance within retail or e-commerce environments.

What is the difference between Merchandise Data Analyst vs Inventory Analyst?

AspectMerchandise Data AnalystInventory Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in data toolsBachelor's in Supply Chain, Logistics, or related; strong analytical skills
Work EnvironmentRetail or e-commerce companies; data-driven teamsWarehouses, distribution centers, retail stores
Employer & Industry UsageUsed in retail, fashion, and consumer goods industriesCommon in retail, manufacturing, and logistics sectors
Comparison Search IntentAnalyzing sales data, product performance, and trendsManaging stock levels, replenishment, and supply chain efficiency

The Merchandise Data Analyst focuses on analyzing sales and product data to optimize merchandising strategies, while the Inventory Analyst concentrates on managing stock levels and supply chain operations. Both roles require analytical skills and industry knowledge but serve different aspects of retail operations.

What is the role of a merchandising data analyst?

A merchandising data analyst is responsible for collecting, analyzing, and interpreting sales and inventory data to optimize product assortment, pricing, and promotional strategies. They use tools like Excel, SQL, or data visualization software to support decision-making and improve retail performance.

What does a Merchandise Data Analyst do?

A Merchandise Data Analyst is responsible for collecting, analyzing, and interpreting data related to merchandise sales, inventory, and customer behavior. They use this information to identify trends, forecast demand, and make recommendations that optimize product assortments and inventory levels. Their insights help retailers improve sales performance, reduce stockouts and overstocks, and enhance customer satisfaction. Merchandise Data Analysts often work closely with buying, marketing, and supply chain teams to support strategic decision-making.

What jobs will boom in 2026?

The demand for data-related roles like Merchandise Data Analysts is expected to grow as companies increasingly rely on data analytics for decision-making. Other booming jobs include roles in technology such as cybersecurity specialists, AI and machine learning engineers, and data scientists, driven by advancements in digital transformation and automation. Skills in data management tools and programming languages like SQL, Python, and R will be valuable for these emerging opportunities.

What are the key skills and qualifications needed to thrive as a Merchandise Data Analyst, and why are they important?

To thrive as a Merchandise Data Analyst, you need strong analytical abilities, a solid understanding of retail operations, and proficiency in data analysis, typically supported by a degree in business, mathematics, or a related field. Expertise in tools such as Excel, SQL, Tableau, and experience with merchandising or inventory management systems is highly valuable. Attention to detail, problem-solving skills, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate insights and recommendations that drive inventory optimization, sales growth, and strategic retail decisions.

What jobs pay 200,000 a year in the USA?

In the USA, high-paying roles such as senior data analysts, data scientists, and certain managerial positions in retail or technology can reach or exceed $200,000 annually. These roles often require advanced skills, experience, and sometimes certifications, and may involve working in competitive or specialized environments.

How does a Merchandise Data Analyst typically collaborate with merchandising and buying teams to influence product assortment decisions?

As a Merchandise Data Analyst, you will work closely with merchandising and buying teams by providing data-driven insights on sales trends, inventory levels, and customer preferences. Your analyses help inform decisions about which products to stock, discontinue, or promote, ensuring that assortments align with market demand and company goals. Regular meetings and cross-functional projects are common, where you'll present findings and recommendations, making your role highly collaborative and influential in shaping the product mix.
What job categories do people searching Merchandise Data Analyst jobs in Bothell, WA look for? The top searched job categories for Merchandise Data Analyst jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Merchandise Data Analyst jobs? Cities near Bothell, WA with the most Merchandise Data Analyst job openings:
Merchandise Data Analyst jobs near you
Director Analytics WOTC

Director Analytics WOTC

Hasbro

Renton, WA • On-site

Full-time

Medical, Life

Posted 25 days ago

Hasbro rating

8.0

Company rating: 8.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Hasbro's Direct-to-Consumer (DTC) platform connects fans worldwide through seamless, intelligent, and data-driven digital commerce experiences. As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the unified analytics foundation that enables Hasbro's DTC-as-a-Service (DTCaaS) model, delivering shared infrastructure, standardized measurement, and actionable intelligence across Pulse, D&D Beyond, and future brand storefronts.
This role blends strategic leadership with technical depth to ensure our data capabilities scale with the business and elevate fan experience, product performance, and operational efficiency. You will champion enterprise-wide data literacy, foster a culture of data-informed decision-making, and establish clear ROI frameworks to measure and communicate the impact of analytics investments.
This role is a hybrid role based in Renton, WA with three days a week expected in office.
What You'll Do
Build the Analytics Foundation for DTCaaS
  • Define the unified data architecture across our eCommerce platform and integrated systems.
  • Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance.
  • Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands.
  • Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service).
  • Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights.

Deliver Scalable, Reusable Insights Products
  • Build automated reporting and insight tools for leadership reviews, business insights, and operational actions.
  • Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations.
  • Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value.
  • Create self-service analytics capabilities that empower teams while maintaining governance and data quality.
  • Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle-time reduction, to demonstrate business impact.

Drive Operational Intelligence and Cost Transparency
  • Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation.
  • Partner with Finance, Supply Chain, and Operations to enable data-driven planning and efficiency improvements.
  • Improve business insights, merchandising insights, and logistics planning across regions.
  • Integrate analytics outcomes into annual and long-range planning processes, securing executive sponsorship and linking initiatives directly to business goals.

Lead and Grow a High-Performing Analytics Organization
  • Lead business intelligence engineering and analytics talent across multiple domains.
  • Mentor and develop team members while promoting excellence, collaboration, and innovation.
  • Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment, and across functions.
  • Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision-making.
  • Influence leadership through clear storytelling, strategic framing, and data-driven recommendations.

Shape the Future of Hasbro's Data & Analytics Capabilities
  • Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation).
  • Define long-term principles and architectures that scale across brands, markets, and product lines.
  • Champion DataOps, testing, lineage, and reliability standards to ensure trust in insights.
  • Drive platform performance, cost governance, and continuous improvement across datawarehouses, BI tools, and event pipelines.
  • Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem.

Minimum Qualifications
  • 10+ years of experience in data analytics, BI, analytics engineering, or data engineering.
  • 5+ years leading multi-disciplinary analytics or data teams.
  • Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms.
  • Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations.
  • Experience partnering with engineering and product teams to influence data models, instrumentation, and system design.
  • Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders.
  • Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on.
  • Demonstrated success delivering measurable business impact through analytics

Preferred Qualifications
  • Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives.
  • Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems.
  • Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows.
  • Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization.

The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$195,900-$293,900 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
  • Health & Wellness
  • Time Off to Recharge
  • Financial Well-being
  • Life & Family Support
  • Volunteer and Community Initiatives
  • Learning & Development
  • Exclusive Perks

Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Apply