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

By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries ... Govern reporting consistency and data integrity across HubSpot, Tableau, and the data warehouse ...

Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

This position will focus on ensuring data-driven decision-making for Filson's global and domestic ... merchandising, and planning stakeholders to provide actionable insights that optimize sourcing ...

This position will focus on ensuring data-driven decision-making for Filson's global and domestic ... merchandising, and planning stakeholders to provide actionable insights that optimize sourcing ...

This position will focus on ensuring data-driven decision-making for Filson's global and domestic ... merchandising, and planning stakeholders to provide actionable insights that optimize sourcing ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

... merchants, financial institutions and government entities across more than 200 countries and ... Enable agentic and selfservice analytics, including automated insights, metric discovery, product ...

PSE's Energy Supply Merchant team is looking for qualified candidates to fill an open ETRM Systems ... Experience with data analytics, business process improvement, system administration, and system ...

PSE's Energy Supply Merchant team is looking for qualified candidates to fill an open ETRM Systems ... Experience with data analytics, business process improvement, system administration, and system ...

PSE's Energy Supply Merchant team is looking for qualified candidates to fill an open ETRM Systems ... Experience with data analytics, business process improvement, system administration, and system ...

... merchants to receive consistent and reliable platform services in different scenarios such as live ... Proficiency in statistical analytical tools, such as SQL and Python. Preferred Qualifications ...

Merchandiser, Promotional Merchandise

Woodinville, WA · On-site

$19 - $22.50/hr

Experience analyzing and applying consumer data. * Track record of building profitable assortment ... Run weekly merchandise status calls with clients and internal WIP meetings as needed. * Share ...

... merchant growth, traffic efficiency/conversion, and user behavior) to help the business increase ... Preferred Qualifications: - Experience in operations analysis, business analysis, and data analysis ...

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Showing results 1-20

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 Jul 14, 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 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 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 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.

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 are popular job titles related to Merchandise Data Analyst jobs in Bothell, WA? For Merchandise Data Analyst jobs in Bothell, WA, the most frequently searched job titles are:
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:

Revenue Strategy Analyst

AfterShip

Seattle, WA • On-site

Other

Medical, Retirement, PTO

Re-posted 25 days ago


Job description

About Us

AfterShip, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, AfterShip is a post-purchase SaaS company on a mission to build the world's leading automation platform for ecommerce merchants.

AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system-giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experiences, and unlock incremental revenue at every post-purchase touchpoint.

AfterShip integrates seamlessly with eCommerce platforms including Shopify and TikTok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses-including Samsung, Gymshark, Mejuri, Dr. Squatch, and Alo Yoga-rely on AfterShip to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.

Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.

Your Mission: 

As a Revenue Strategy Analyst, you will be the analytical engine behind AfterShip's GTM strategy, turning data into the decisions that shape how we grow. Reporting to the Senior Manager, Revenue Operations, you will partner across Sales, Marketing, Partnerships, Customer Success, Finance, and Data to uncover insights, optimize revenue-driving processes, and accelerate company OKRs through rigorous, data-informed thinking.

This role is built for someone who thrives at the intersection of SaaS and eCommerce, leans into ambiguous business problems, and can translate complex datasets into clear narratives and strategic recommendations that leadership can act on. You will identify growth opportunities across GTM channels, sharpen reporting visibility, and drive high-impact operational initiatives that move revenue performance across the business.

This is a highly cross-functional role that rewards strong analytical thinking, commercial acumen, and communication skill. The ideal candidate is comfortable engaging executive stakeholders, navigating incomplete or evolving datasets, and designing AI-enabled workflows that turn analytics into a competitive advantage rather than a reporting function.


What You'll Do: 

  • Analyze GTM channel and funnel performance to surface trends, growth levers, and operational gaps, then translate findings into prioritized recommendations
  • Partner with RevOps and GTM leadership to operationalize revenue strategies tied to company OKRs
  • Build executive-grade dashboards and self-serve reporting in Tableau and HubSpot, designed for decision-making
  • Run ad hoc strategic analyses across Sales, Marketing, CS, Partnerships, and Finance, including win/loss, churn, attribution, and segment profitability
  • Improve forecasting accuracy and pipeline predictability through analysis of conversion behavior, stage velocity, and deal slippage
  • Monitor core revenue metrics (pipeline coverage, conversion, velocity, NRR, GRR, CAC payback, quota attainment) and flag anomalies before they surface in QBRs
  • Translate complex datasets into clear executive narratives, owning the "so what" and the recommended action
  • Design scalable analytical frameworks and reporting processes that reduce one-off requests through better self-serve infrastructure
  • Build AI-enabled workflows to automate recurring analysis and accelerate insight delivery, treating AI as a system to design with
  • Investigate ambiguous datasets independently, scoping the question and shipping the answer without tight direction
  • Govern reporting consistency and data integrity across HubSpot, Tableau, and the data warehouse, ensuring shared metric definitions across teams


Who We're Looking For:

  • 2 to 4 years of experience in Revenue Operations, Revenue Strategy, GTM Analytics, or related analytical roles, ideally within SaaS, eCommerce, or platform businesses
  • eCommerce business model experience strongly preferred (Shopify ecosystem, marketplace dynamics, or subscription commerce)
  • Required tooling: HubSpot (CRM, custom objects, workflows, reporting), Tableau (or equivalent BI), SQL
  • Preferred tooling: workflow automation platforms (n8n, Zapier, Workato, or Make), Python for data analysis, exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift)
  • Demonstrated experience designing AI-enabled workflows that solve operational problems (not just using AI for personal productivity), including familiarity with prompt design, agentic workflows, or MCP-based integrations
  • Hands-on experience analyzing GTM performance across the full funnel: pipeline coverage, conversion rates, sales cycle velocity, forecast accuracy, win/loss, NRR, CAC payback, and segment-level performance
  • Proven ability to build dashboards, run ad hoc analyses, and translate findings into clear recommendations for Sales, Marketing, Partnerships, CS, and Finance stakeholders
  • Strong storytelling and executive communication, including the ability to present trade-offs, not just findings, to leadership
  • Comfort navigating ambiguity, scoping problems independently, and shipping work without heavy hand-holding
  • Bias toward systems thinking: when you see a recurring manual task, your instinct is to redesign the process, not just complete it faster
  • Track record of cross-functional collaboration across Sales, Marketing, Partnerships, Customer Success, Finance, and Data

At AfterShip, we know great talent doesn't always fit every requirement. If you're passionate about our mission and believe you can make an impact, we encourage you to apply.

Why You Should Join Us: 

  • Great Place to Work Certified: We've been recognized for our inclusive, values-driven culture that celebrates diversity and collaboration.
  • Innovative & Inclusive Culture: Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and collaboration. We're a passionate, global team of problem solvers who put egos aside to innovate together. We take immense pride in fostering a culture that's inclusive, which has allowed us to surround ourselves with the industry's most talented professionals.
  • Ambitious Mission with Real Impact: Join us in transforming eCommerce by making buying and selling easier for everyone. It's one of the most dynamic spaces in tech, with limitless opportunities to innovate and grow.
  • Thrive & Grow: There's no ceiling to what you can achieve or learn here. We're committed to empowering your career while advancing together as a company.
  • Flexible Work Setup: We're a remote-first team, meaning by default that employees work from home or on a hybrid-flexible basis in our hub locations (i.e., Toronto, Austin, Barcelona). You're empowered to choose a work setup that works best for you and your team. With flexible hours depending on your time zone, you'll be able to have a schedule that fits your working style and the requirements of your role.

Perks:

  • Competitive compensation
  • Remote-first/hybrid-flexible work setups
  • Healthcare coverage offered from day 1
  • Retirement plans including company match
  • Unlimited PTO
  • Annual learning & wellness benefit
  • Monthly book perk
  • Career progression & professional development
  • In-office lunch and commuter benefits for those located in our hub locations

Salary range for this role: USD$77,000 - $91,000

We are an equal opportunity employer and provide accommodations upon request throughout the recruitment process, in accordance with local legislation. Please let us know if you require any support, and we'll work with you to meet your needs.

We believe in hiring right over hiring fast. While timelines may vary, we're looking to fill this role as soon as possible. 

Our hiring process uses AI to help with initial resume screening and to support interview note-taking. These tools help our team stay organized and fair, but all hiring decisions are made by people.

This job posting is for a new position