Role Description:
Lets do this. We are seeking an experienced Senior BI Engineer to lead the design, development, and optimization of scalable business intelligence (BI) solutions that empower data-driven decision-making across the organization. The ideal candidate is highly skilled in data modeling, dashboard development, ETL design, and cloud-based BI platforms, with a passion for turning complex data into clear, actionable insights. As a senior member of the BI team, you will work closely with data engineers, analysts, business stakeholders, and product teams to deliver robust, user-friendly analytics solutions that support strategic and operational goals.
Roles & Responsibilities:
- Design, develop, and maintain enterprise-grade BI dashboards and reports using tools like Power BI, Tableau, or Looker.
- Build and optimize semantic models, tabular data structures, and reusable datasets for self-service BI users.
- Partner with business stakeholders to translate requirements into technical solutions, delivering accurate, relevant, and timely insights.
- Work closely with data engineering teams to integrate BI solutions into data lake, warehouse, or lakehouse architectures (e.g., Snowflake, Redshift, Databricks, BigQuery).
- Implement best practices for BI development, including version control, performance optimization, and data governance.
- Ensure BI solutions are secure, scalable, and aligned with enterprise data governance standards.
- Mentor junior BI developers and analysts, setting standards for dashboard usability, data visualization, and design consistency.
- Collaborate with cross-functional teams to promote self-service BI adoption and data literacy throughout the organization.
- Monitor BI performance, usage, and adoption, providing continuous improvements and training to enhance impact.
Must-Have Skills:
- 5 - 8 years of experience in BI development and data visualization, with deep expertise in tools such as Power BI, Tableau, or Looker.
- Strong knowledge of SQL, data modeling techniques, and BI architecture best practices.
- Experience working with data warehouses and cloud data platforms
- Proficiency in building dashboards, KPIs, and executive-level reporting that align with business priorities.
- Solid understanding of ETL/ELT processes, data pipelines, and integration with BI tools.
- Strong collaboration skills with the ability to work effectively across engineering, product, finance, and business teams.
- Excellent communication skills, with a proven ability to translate technical concepts into business value.
Good-to-Have Skills:
- Experience in cloud platforms (AWS, Azure, or GCP) and modern data stack environments.
- Familiarity with data governance, data cataloging, metadata management, and access control.
- Exposure to Agile methodologies, CI/CD for BI, and DevOps practices.
- BI or data certifications (e.g., Microsoft Certified: Power BI Data Analyst, Tableau Certified Professional).
Education and Professional Certifications
- Masters degree and 3 to 4 + years of Computer Science, IT or related field experience
- OR
- Bachelors degree and 5 to 8 + years of Computer Science, IT or related field experience
- PowerBI / Tableau certifications preferred
- Scaled Agile SAFe certification preferred
Soft Skills:
- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals.
- Ability to learn quickly, be organized and detail oriented.
- Strong presentation and public speaking skills.
