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Domo Data Analyst Jobs (NOW HIRING)

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with ...

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with ...

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY Working as a member of Domo's Client Services team, the Senior ...

Develop and manage ETL/ELT workflows using Domo Magic ETL and cloud data pipelines * Analyze large datasets to identify trends, operational opportunities, and business risks * Collaborate with ...

As a Data Analyst, you will focus on analytics modeling, dashboard development, and data ... Domo, Tableau, Power BI, Looker, Metabase, or similar platforms. • Strong understanding of ...

New

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

Analyze trends and translate data into actionable strategies * Identify gaps in data quality and ... Domo * Tableau * Looker / Looker Studio * Bonus experience: * APIs or data integration

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY As a Technical Customer Success Manager, you will drive the long-term ...

Data Analyst

Spring, TX · On-site

$85K - $95K/yr

DOMO experience is preferred but not required * Familiarity with data analysis tools such as Excel (pivot tables, Power Query, formulas). * Exposure to SQL or other query languages is a plus.

We are in search of an experienced data & analytics mind to help drive Pizza Hut's digital ... Exceptional knowledge of at least one commonly applied BI tool (Tableau, Power BI, Domo, etc) * 2+ ...

The analyst partners closely with suppliers, category managers, and internal stakeholders to ... Serve as a procurement data tools expert (Domo, NetSuite, Coupa, etc.). (Essential) * Develop ...

You will own the full data stack: data engineering and pipelines, the Databricks data lake, business intelligence through DOMO, data analysis capabilities, and data governance. Your primary mission ...

Digital Data Analyst

Plano, TX · On-site

$99K - $115K/yr

We are in search of an experienced data & analytics mind to help drive Pizza Hut's digital ... Exceptional knowledge of at least one commonly applied BI tool (Tableau, Power BI, Domo, etc) * 2+ ...

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Domo Data Analyst information

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$34K

$82.6K

$136K

How much do domo data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for domo data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Domo Data Analyst vs Power BI Data Analyst?

AspectDomo Data AnalystPower BI Data Analyst
CertificationsDomo certifications, data analysis certificationsMicrosoft certifications, Power BI certifications
Work EnvironmentCloud-based platforms, business intelligence toolsOn-premises and cloud, business intelligence tools
Industry UsageUsed across various industries for data visualization and reportingWidely used in corporate environments for data analysis and reporting

Both Domo Data Analysts and Power BI Data Analysts focus on data visualization and reporting, but Domo specialists often work within cloud-based platforms with a focus on real-time dashboards, while Power BI analysts typically operate within Microsoft ecosystems, emphasizing integration with other Microsoft tools. The choice depends on the company's existing infrastructure and specific data needs.

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

To thrive as a Domo Data Analyst, you need strong analytical skills, experience with data visualization, and a solid understanding of business intelligence concepts, often supported by a degree in a relevant field. Proficiency in the Domo platform, including Magic ETL, Domo Workbench, and connector integrations, as well as familiarity with SQL and data modeling, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help analysts translate data into actionable insights for stakeholders. These skills ensure the effective use of Domo to drive data-driven decision making and maximize business value.

What are Domo Data Analysts?

Domo Data Analysts are professionals who use the Domo platform to collect, analyze, and visualize data for organizations. They create dashboards, reports, and data models to help businesses make informed decisions. Their responsibilities often include data integration, cleaning, and transforming raw data into actionable insights. Domo Data Analysts collaborate with stakeholders to understand business needs and deliver customized analytics solutions. Proficiency in Domo, data analysis, and communication are key skills for this role.

How does a Domo Data Analyst typically collaborate with business stakeholders to drive data-driven decision making?

A Domo Data Analyst works closely with business stakeholders to understand their data needs and business objectives, translating them into actionable dashboards and reports within the Domo platform. Regular collaboration often involves gathering requirements, presenting insights, and iterating on visualizations based on feedback. Analysts also provide training and support to stakeholders, ensuring they can independently access and interpret relevant data. This collaborative process helps organizations make informed decisions quickly and fosters a culture of data-driven strategy.
Infographic showing various Domo Data Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Scientist

Senior Data Scientist

Domo

American Fork, UT • On-site

Full-time

Posted 26 days ago


Job description

COMPANY OVERVIEW
Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.
POSITION SUMMARY
Sr. Data Scientists at Domo are client-facing experts who work with Domo's strategic clients to develop custom production data science solutions that address and improve business challenges. Domo Data Scientists also work closely with Domo's Product Team to inform and develop data science products that accelerate Domo use and adoption. This role requires data scientists to understand and demonstrate competence in four knowledge domains: data engineering, model building, customer and initiative management, and problem solving. These four domains apply to all aspects of building production data science, machine learning, and AI pipelines in Domo-including use case discovery, ROI estimation and tracking, data ingestion, data preparation and cleaning, feature engineering, modeling, training, productionizing, and building out technical and end-user dashboards.
Time is balanced between calls and on-site interactions with Domo clients, with independent time allocated to informing and building data science products and solutions. Furthermore, Sr. Data Scientists on this team are teachers and trainers, with a firm emphasis on evangelizing data science best practices and enabling customers to understand and own their Domo data science solutions.
Sr. Data Scientists at Domo are encouraged to pursue projects that enhance clients' user experience and move forward the vision of data science at Domo. This can include contributing to the building of Domo data science products, designing and architecting apps, writing knowledge base articles, developing sales and marketing solutions, or contributing to Domo-sponsored published works.
At the senior level, data scientists are expected to demonstrate expert knowledge and industry respect and longevity in at least two of the four knowledge domains (data engineering, model building, customer and initiative management, and problem solving). Thought leadership and expertise for Senior-level data scientists can be evidenced through a cohesive body of work as is demonstrated in a portfolio of production DSML projects, publications, presentations, reports, patents, and other industry-relevant accomplishments.
JOB REQUIREMENTS
  • University degree and equivalent industry experience with an emphasis in data science, statistics, behavioral science, computer science, or related field
  • Strong R and/or Python skills (5+ years)
  • Knowledge and demonstrated application of a breadth of statistical and data science approaches
  • Portfolio of at least one completed data science and/or statistics project, including visualizations, presentations, reports, etc. (a relevant class project can be considered for junior-level applicants)
  • Experience in any type of customer-facing role (2+ years)
  • Flexibility to travel for work as much as 20% of time
  • Strong written and oral skills
  • Detail oriented
  • Exceptional time management skills

PREFERRED QUALIFICATIONS
  • Master's Degree or PhD with an emphasis in data science, statistics, behavioral science, computer science, or related field.
  • Portfolio of independently completed data science and/or statistics projects, including visualizations, presentations, reports, etc. (industry-specific portfolio preferred)
  • Evidence of developing and deploying business-relevant data science or machine learning solutions in production
  • Experience teaching statistics and/or data science, with evidence of success (such as favorable course evaluations, etc.)
  • Project management experience
  • Experience using Domo (1+ years)

ITEMS TO INCLUDE IN YOUR APPLICATION
Upload the following to the Resume/CV field
  • Current resume
  • Current CV, if applicable
  • Data Science Portfolio: Highlight at least one use-case that showcases your work and the importance of it
  • Evidence of teaching success, if available
  • Customer evaluations, ratings, feedback, endorsements, etc., if available
  • If selected for an interview, please prepare a 15-minute presentation that showcases your data science work (preferably customer-facing work) and the impact of it

VIEW OUR BENEFITS
Domo is an equal opportunity employer