Sales Operations Data Analyst

Posted One Month Ago
Be an Early Applicant
Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
Hybrid
Mid level
Artificial Intelligence
The Role
Develops and distributes sales reports, dashboards, and ad hoc analyses; troubleshoots reporting inaccuracies; maintains analytic models; and translates sales data into actionable insights. The role supports sales leadership, guides data cleansing, improves reporting practices, and influences stakeholders through data-driven recommendations. Requires advanced SQL and Looker skills, strong analytical communication, and the ability to independently assess data and manage ambiguity.
Summary Generated by Built In

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Sales Operations Data Analyst who will play a pivotal role in shaping our sales strategy by providing reporting and valuable insights on sales data and activities. You will directly support sales leadership while driving the development and implementation of our sales analytics and data strategy, while identifying trends and recommend solutions or processes to drive sales effectiveness.

How You'll Contribute:
  • Creation, analysis, and distribution of reports and dashboards for Sales
  • Create ad-hoc reports and analysis as needed
  • Problem-solving and troubleshooting data reporting inaccuracies
  • Assist in creating, maintaining, and optimizing analytic models
  • Follow and develop reporting best practices
  • Transform data into actionable insights and visualize it effectively using tools like Looker
  • Demonstrate a passion for working with data and the ability to turn raw data into actionable insights
  • Serve as a liaison between our data needs and what is currently available, guiding data cleansing efforts when necessary
  • Possess the ability to influence and persuade stakeholders with data-driven insights
What You'll Bring to Xometry:
  • Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, or a relevant discipline. Master's degree preferred
  • 3+ years of experience as a Data Analyst or Business Analyst, preferably with a focus on sales analytics
  • Advanced in SQL and Looker (not Looker Studio), and preferably LookML
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Ability to communicate complex findings and insights to non-technical stakeholders
  • Ability to independently source and assess data for relevance
  • Familiarity with data cleansing processes and experience in data cleaning is a plus
  • Strong interpersonal skills and the ability to influence and persuade stakeholders.
  • Able to solve complex problems and successfully manage ambiguity and unexpected change
  • Nice to have experience using: Snowflake, Salesforce, dbt (data build tool), GitHub, Excel
  • Excellent verbal and written English communication skills.

 Please submit your resume in English

#LI-Hybrid

#Promoted

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Skills Required

  • Bachelor’s degree in Data Science, Statistics, Mathematics, or a relevant quantitative discipline
  • 3+ years of experience as a Data Analyst or Business Analyst, preferably in sales analytics
  • Advanced proficiency in SQL
  • Advanced proficiency in Looker, excluding Looker Studio
  • Excellent analytical, problem-solving, and attention-to-detail skills
  • Ability to communicate complex findings to non-technical stakeholders
  • Ability to independently source and assess data relevance
  • Strong interpersonal skills and ability to influence stakeholders
  • Ability to solve complex problems and manage ambiguity and unexpected change
  • Excellent verbal and written English communication skills
  • Master’s degree
  • Experience with LookML
  • Experience with data cleansing and data cleaning
  • Experience with Snowflake, Salesforce, dbt, GitHub, or Excel

Xometry Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xometry and has not been reviewed or approved by Xometry.

  • Healthcare Strength — Core medical, dental, and vision coverage for employees and dependents is highlighted alongside mental‑health resources and an EAP. Feedback suggests many view the health plan as good or flexible, contributing positively to total rewards.
  • Retirement Support — A 401(k) program and company‑paid life/STD/LTD are positioned as core financial protections. Feedback suggests retirement offerings are a consistent component of total compensation.
  • Leave & Time Off Breadth — Flexible time off, paid holidays, volunteer time, and hybrid/remote options expand the time‑away and flexibility toolkit. Feedback suggests this breadth adds meaningful non‑cash value for many roles.

Xometry Insights

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The Company
HQ: North Bethesda, MD
381 Employees
Year Founded: 2013

What We Do

Xometry is the leading AI-enabled marketplace for on-demand manufacturing, transforming one of the largest industries in the world. With its proprietary technology, Xometry creates a marketplace that enables designers and engineers to rapidly source high-quality on-demand manufactured parts and assemblies. Xometry's innovative platform also empowers sellers of manufacturing services across the nation to grow their businesses. Xometry’s buyers range from self-funded startups to Fortune 100 companies.

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