What does a Domo specialist do?
A domo specialist builds and maintains business intelligence solutions within the Domo platform by connecting disparate data sources, transforming raw information into usable datasets, and creating interactive visualizations. This role bridges the gap between raw data storage and actionable business insights through technical configuration and analytical design. The specialist manages the entire lifecycle of data assets, from initial ingestion to final dashboard publication, ensuring that stakeholders access accurate and timely metrics.
- Connects external and on-premise data sources to the platform using Domo Workbench and configures automated schedules for recurring dataset updates. The specialist builds complex data preparation flows using Domo DataFlows or SQL DataFlows to clean, merge, and transform raw inputs into structured analytics-ready tables. This process replaces manual spreadsheet manipulation with reliable, repeatable extract-transform-load pipelines that refresh automatically without human intervention.
- Designs and publishes interactive dashboards composed of cards, charts, and filters that allow users to explore key performance indicators dynamically. The specialist configures sharing permissions and publication settings to distribute these visual assets to specific teams or external partners securely. Each visualization links directly to underlying datasets, ensuring that decision-makers view real-time numbers rather than static snapshots from previous reporting cycles.
- Establishes governance structures by assigning Domo roles and role grants that control user access to sensitive data and platform capabilities. The specialist automates integrations and builds custom data applications by writing scripts that interact with Domo APIs for programmatic management of workflows. This technical oversight ensures that only authorized personnel modify critical data pipelines while enabling scalable automation across the organization’s analytics infrastructure.
How to hire a Domo specialist on Upwork
Step 1: Post a job
Define your data pipeline and dashboard requirements clearly to attract qualified candidates. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description in seconds. Describe your needs in a few sentences, and Uma creates a tailored post for this role. You can write a new post, update a saved draft, or reuse an existing post.
- Specify experience with Domo Workbench for connecting on-premises data sources and scheduling automated dataset updates.
- List required proficiency in building SQL DataFlows to transform raw data into analytics-ready datasets within the platform.
- Detail the need for configuring governance roles and role grants to control user access and secure sensitive business information.
Step 2: Evaluate candidates
Review portfolios for evidence of complex ETL logic and interactive dashboard design. Uma runs instant video interviews and builds shortlists with side-by-side comparisons to help you assess technical fit quickly.
- Look for published cards and dashboards that demonstrate clear data visualization and effective use of filtering variables.
- Verify experience automating integrations via Domo APIs to connect external systems and streamline data ingestion workflows.
- Check for examples of managed permissions that show how the candidate restricted access to specific datasets or platform features.
Step 3: Interview your top choices
Discuss specific approaches to data preparation and error handling in scheduled jobs. Schedule and conduct interviews within Upwork Messages, which generates an immediate transcript and summary after each session.
- Ask how they troubleshoot failed DataFlow executions and maintain data integrity during large-scale transformations.
- Request examples of custom data applications they built using API calls to extend standard platform functionality.
- Explore their method for documenting dataset lineage and sharing protocols with non-technical stakeholders.
Step 4: Agree on scope and begin work
Set clear milestones for data connection setup, flow creation, and dashboard publication. Use Upwork Messages and the contract workroom for communication and project management, plus identity verification, payment protection, hourly tracking, and project funds for security.
- Define deliverables such as configured Workbench agents and tested SQL queries that refresh data on a set schedule.
- Establish acceptance criteria for dashboard accuracy and load times before finalizing the project scope.
- Outline specific governance rules the specialist must implement to ensure compliant data sharing across teams.
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