Business Intelligence Engineer
1 week ago
The BI Engineer will be responsible for designing, building, and maintaining scalable data solutions and dashboards that support strategic and operational decisions across the company. This role requires a mix of technical expertise in data modeling, visualization, and ETL pipelines, as well as strong business acumen to translate complex data into actionable insights for leadership and field teams.
Responsibilities
- Build and manage ETL processes to consolidate data from multiple systems (e.g., CRM, ERP, scheduling platforms, customer databases).
- Ensure data quality and governance by implementing best practices for data validation, documentation, and access control.
- Develop, maintain, and optimize BI dashboards and reports to the business manage performance.
- Work across operations, finance, marketing, and customer experience teams to define requirements and deliver insights that turn business goals into actionable, data-driven results.
- Analyze business trends, identify opportunities for improvement, and provide insights to support strategic initiatives.
- Support the adoption of BI tools and data literacy initiatives across the organization
Qualifications
- Bachelor's degree and 3+ years of experience as a BI Engineer, Data Analyst, or Data Engineer.
- Experience with Python or other scripting languages for data transformation and ingestion.
- Solid understanding of ETL processes and data modeling (e.g., star schema, snowflake, etc.).
- Experience and knowledge of APIs and data ingestion across SaaS & business systems (e.g., CRM, ERP, Google Ads, Meta Ads, etc.).
- Proficiency in SQL and experience working with relational databases (e.g., MS SQL Server, PostgreSQL, MySQL, etc.).
- Experience with BI visualization tools (e.g., Looker Studio, Tableau, Power BI, etc.).
- Strong analytical and problem-solving skills.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
Preferred
- Familiarity with Microsoft BI & cloud tools (e.g., Azure, Synapse, Fabric, Power BI, Power Apps, Power Automate).
- Experience working in field services, HVAC, or home services industry is a plus.
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