Senior Business Intelligence Developer, Horizon3

• Strong SQL skills and experience with relational databases and cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
• Experience engaging with ETL/ELT pipelines using modern data tools (e.g., dbt, Airflow, Fivetran, AWS DMS)
• Experience using Tableau or other BI tooling to build comprehensive dashboards
• Familiarity with data modeling concepts and data architecture best practices
• Strong understanding of data quality, data governance, and security principles
• Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders
• Agile mindset with ability to iterate quickly and adapt to changing business priorities
• Self-starter who takes ownership and drives initiatives to completion
• Bachelor’s degree or equivalent in Computer Science, Engineering, Information Systems, or a related field
• 4+ years of experience in data engineering or a related field
• Hands-on experience designing and building scalable data pipelines and data models
• Experience working in fast-paced environments and collaborating across multiple business functions
• Nice to have: Proficiency in programming languages used for data engineering (e.g., Python, Scala)

Desirable

• Horizon3.ai is looking for a Business Intelligence Developer to join our Business Intelligence (BI) team and help build a world-class data ecosystem that enables smarter decision making across the organization
• As a BI Developer on the BI team, you will collaborate with stakeholders across the company—including Product, Finance, Sales, Marketing, and Engineering—to design and maintain robust, scalable data warehouse infrastructure
• You will ensure that high-quality data is readily accessible to power dashboards, analyses, and advanced analytics efforts
• You will use your deep understanding of the business and data to develop insightful and actionable dashboards
• You are a self-starter who can thrive in a fast-paced startup environment and enjoys solving challenging data problems
• You have experience owning and optimizing a data warehouse and are passionate about building trusted data products that drive business impact
• Build DWH data models with a bias for self-service. Internal stakeholders should have a clear understanding of table relationships and the data therein
• Develop a deep understanding of the company's data assets within the data warehouse, serving as a subject matter expert for data availability, lineage, and quality
• Own and maintain Tableau/BI Tooling data sources (scheduling, permissions, refreshes, etc)
• Develop and maintain standard suite of self-service Tableau dashboards, ensuring their availability and accuracy
• Build trust in the data by ensuring accuracy and availability. Monitoring, alerting and addressing data anomalies are some of your top priorities
• Regular engagement with Eng and Product teams to better understand platform and product changes that will impact the DWH and organizational business needs
• Engagement with owners/stakeholders for applications with bi-directional relationship to DWH to ensure data accuracy and availability
• Maintain clear documentation (ERD, Data Dictionary) and promote data warehousing best practices across the team
• Utilize software engineering best practices such as version control via Git, CI/CD, and release management