2

Remote Merchandising Jobs in Washington (NOW HIRING)

Senior Digital Analyst

Washington, DC · On-site +1

$120K - $170K/yr

... Merchandising - driving the strategies behind our customer experiences, marketing, and content ... This position can be based in our Washington, DC Headquarters office or remote. Core ...

Showing results 41-44

Remote Merchandising information

What does a typical day look like for someone working in remote merchandising?

A typical day in remote merchandising involves analyzing sales data, updating product listings, and coordinating with buyers, marketing teams, and designers to ensure products are displayed optimally online. You'll often participate in virtual meetings to discuss strategy, track inventory levels, and monitor the performance of current promotions or campaigns. There may also be regular check-ins with cross-functional teams to align merchandising efforts with company goals and trends. The ability to manage multiple tasks independently and communicate clearly with remote colleagues is essential for success in this dynamic role.

What is remote merchandising?

A Remote Merchandising job involves managing product selection, presentation, and pricing for an online or digital retail environment. Responsibilities may include analyzing sales data, optimizing product listings, coordinating with vendors, and implementing merchandising strategies to increase sales. This role requires strong analytical skills, attention to detail, and an understanding of e-commerce trends. Since it is remote, communication and collaboration with cross-functional teams are typically conducted through digital tools.

What are the key skills and qualifications needed to thrive in remote merchandising, and why are they important?

To thrive in Remote Merchandising, you need strong analytical skills, a solid understanding of retail principles, and experience with e-commerce platforms or merchandising software. Familiarity with tools like Shopify, Salesforce Commerce Cloud, or visual merchandising software, as well as data analysis certifications, is often required. Excellent communication, time management, and the ability to collaborate virtually set top candidates apart. These competencies are crucial for optimizing product displays, driving sales, and ensuring the smooth execution of merchandising strategies across digital channels.

What are the most commonly searched types of Merchandising jobs in Washington? The most popular types of Merchandising jobs in Washington are:
What are popular job titles related to Remote Merchandising jobs in Washington? For Remote Merchandising jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Merchandising jobs in Washington look for? The top searched job categories for Remote Merchandising jobs in Washington are:
What cities in Washington are hiring for Remote Merchandising jobs? Cities in Washington with the most Remote Merchandising job openings:
Infographic showing various Remote Merchandising job openings in Washington as of August 2026, with employment types broken down into 60% Full Time, 37% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Senior Digital Analyst

Tuckernuck

Washington, DC • On-site, Remote

$120K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Position Overview

Tuckernuck's business and team members thrive on data. As a Senior Digital Analyst / Analytics Architect, you will influence key strategic decisions within a high-volume, high-growth business. This hybrid role involves both analytics architecture and digital analysis: not only will you implement new measurement tooling, but you will also employ the data you collect in actionable analyses. You will use and contribute to a modern data stack (Google Analytics 360, BigQuery, dbt, Hex, and Fivetran).

You will collaborate closely with cross-functional teams - including Digital, Marketing, and Merchandising - driving the strategies behind our customer experiences, marketing, and content. Ultimately, you will help us to maximize the value of our 2 billion rows of data (and counting), converting raw information into knowledge that helps to fuel our next phase of growth. This position will report to Paul Koch, Head of Data. This position can be based in our Washington, DC Headquarters office or remote.


Core Responsibilities

  • Conduct rigorous, accurate analyses of our digital data, primarily using SQL and Python.
  • Communicate your findings and recommendations clearly, both in writing and orally.
  • Collaborate with stakeholders to identify high-value projects and propose effective approaches.
  • Produce dashboards and data tooling using Hex.
  • Provide peer review of analysis deliverables.
  • Educate other teams about our data through hands-on teaching and strong documentation.
  • Audit and improve the accuracy of our analytics instrumentation.
  • Implement new digital data collection using Google Tag Manager and collaborating with our measurement partners.
  • Ensure data collection respects customers' consent signals and complies with regional data-protection regulations.


Minimum Qualifications

  • You have worked in a data-centric role for at least 3 years.
  • You fluently write SQL and proficiently write Python.
  • You deeply understand Google Analytics and have used BigQuery to analyze GA data.
  • You have worked extensively with Google Tag Manager.
  • You understand foundations of digital measurement, such as browsers' developer tools, the DOM, CSS selectors, and JavaScript.


Knowledge/Skills/Abilities

  • Cite examples of how your past analyses have influenced stakeholders' behavior and quantitatively impacted your organization.
  • Care not only about properly analyzing data, but also effectively presenting and visualizing your findings.
  • Work proactively and independently, proposing projects rather than waiting for stakeholders to request them.
  • Know when to work with ambiguity and when to push for clarity.
  • Maintain a "strong opinions, loosely held" mindset: you have ideas for the business but adjust your position as you discover new information.
  • Stay plugged into the data and analytics community, eager to learn about new tools and practices and introduce them in your work.
  • Value curiosity, teamwork, input from others, and a focus on outcomes.


Preferred Skills

  • Used dbt and Git. (If not, we will teach you!)
  • Implemented server-side tracking.
  • Worked with digital advertising platforms (e.g., Google Ads and Meta).
  • Worked in a retail business, especially direct-to-consumer.
  • Designed, implemented, and interpreted experiments (e.g., via split-testing tools).


Compensation

Compensation for the role will be determined based on the candidate's qualifications, skills, and experience. The estimated annual compensation for this role is $120,000-$170,000; classified as full-time exempt and not eligible for overtime. At Tuckernuck, we care about our team and offer benefits that support your health, growth, and work-life balance. This includes medical, dental, and vision coverage, a 401(k) with a company match, generous paid time off and holiday, paid new parent leave, day care coverage, a generous employee discount, and other great perks.


Core Values

The successful candidate will also demonstrate the following core values that inspire the Tuckernuck team to make a difference.

  • Teamwork Makes the Dream Work
  • Find the Fun
  • Stay Authentic
  • Respect
  • Entrepreneurial Spirit
  • Start Strong & Finish Strong
  • Have Courage

Tuckernuck is an equal opportunity employer and makes employment decisions on the basis of merit. Tuckernuck policy prohibits unlawful discrimination based on race, color, religious creed, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy, or any other consideration made unlawful by federal, state, or local laws. It also prohibits discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful.