BI Developer

About the role

We're looking for a BI Developer to build the dashboards and reports our business relies on to make decisions and ensure the numbers are accurate, consistent, and trusted. Beyond day-to-day reporting, you'll help reshape how our data is structured behind the scenes so it stays reliable and scalable as we grow.

Responsibilities

• Dashboard & report development: Build, maintain, and enhance dashboards and reports in Domo.
• Support reporting requests from stakeholders across the company.
• Apply best practices for dashboard usability, performance, and consistency.
• Test and validate dashboards before every release and update.
• Data modeling & transformation: Clean, reshape, and model raw data from multiple sources into usable datasets.
• Pull and integrate data from databases, files, and platform APIs.
• Build and maintain repeatable ETL workflows that keep data flowing reliably from source to report.
• Build standardized metrics and calculations in SQL, applied consistently across every report.
• Data quality & validation: Run validation and quality checks across dashboards, datasets, and metrics.
• Investigate inconsistencies and anomalies, and track down root causes.
• Make sure reported numbers align with documented business logic.
• Documentation & change control: Document dashboards, metrics, data sources, and reporting processes.
• Maintain metric definitions and data logic documentation.
• Track changes to dashboards and metrics to support transparency and controlled updates.
• AI & automation: Use AI tools to streamline repetitive work — generating documentation, drafting and reviewing SQL, and speeding up validation.
• Build simple AI-assisted workflows that keep metric definitions, data dictionaries, and process docs current as things change.
• Look for opportunities to automate manual, repeatable tasks so the team can focus on higher-value work.
• Collaboration & stakeholder support: Partner with Analytics, Finance, Operations, and Project teams to understand reporting needs.
• Communicate clearly about data definitions, limitations, and updates.
• Work independently on your own tasks while collaborating effectively across teams.

Requirements

• Hands-on ETL / data transformation experience — cleaning, reshaping, and modeling raw data.
• Advanced SQL — comfortable writing joins, CTEs, and aggregations from scratch.
• Hands-on experience with a major BI / data visualization tool (Power BI, Tableau, Looker, Domo, or similar).
• Comfort pulling data from source systems and APIs, or a clear aptitude and willingness to learn.
• Data warehouse or semantic-layer exposure.
• Comfort using AI tools to work faster and smarter — to streamline tasks, automate repetitive work, optimize processes, and solve problems.
• Data warehouse or semantic-layer exposure.
• Ability to explain data clearly to non-technical partners in Finance and Operations.
• Natural curiosity — you dig into why a number looks off and chase down the root cause.
• 2+ years of experience in business intelligence, analytics, reporting, or a related data role.
• Bachelor's degree in Analytics, Information Systems, Business, Finance, Computer Science, or a related field — or equivalent practical experience.

Preferred / Strong Plus

• Python for data transformation or automation.
• Hands-on experience with dbt and modern data warehousing (Snowflake or similar), or building a semantic layer / data warehouse model.
• Experience with data pipeline orchestration tools such as Airflow, Dagster, or Prefect.
• Experience with data governance.
• Construction or project-based industry experience; BlueprintOS or similar ERP exposure.
• Direct Domo experience, including its newer AI / agent features.