Business Intelligence Engineer II

Business Intelligence Engineer II – Strategic Data Team Summary

We are seeking a highly skilled Business Intelligence Engineer (BIE) to drive strategically important operational and technical initiatives through data intelligence, analytics, and insights. This role is focused on building end-to-end BI solutions, improving reporting and visualization, and partnering across business and technical teams to deliver scalable, data-driven improvements. The ideal candidate has deep experience in SQL, Python, Tableau (or equivalent), large-scale datasets, and statistical analysis, with a strong ability to translate data into actionable insights for stakeholders.

• Architect an end-to-end BI landscape including datasets, pipelines, ETL, and data visualization to support business operations.
• Create new reporting for business reviews, analyzer tools, and emerging strategy efforts.
• Improve auditing tools to identify gaps in technology systems and enable new capabilities.
• Build insights-oriented visualization tools in Tableau or similar to enhance decision-making.
• Challenge existing processes with data-driven alternatives that improve scalability and efficiency.
• Partner with cross-functional teams to create and scale intelligence roadmaps that drive automation, scale, and productivity.
• Develop and maintain a knowledge repository for business intelligence as part of a growing center of excellence.

• Assist stakeholders in managing business operations.
• Join meetings to discuss issues, solutions, and progress.
• Partner with team members to design and implement BI solutions.
• Write SQL queries to pull, validate, and structure data sets.
• Ensure deliverables are completed on time and meet expectations.
• Collaborate with a team of 5 members, with high interaction from day one until able to work independently.

• Bachelor’s degree in a related field required;
  Master’s degree preferred.
• 4–6 years of strong working knowledge in SQL, Python, Tableau (or equivalent visualization tool).
• 2–5 years of experience working with large-scale, complex datasets.
• Background (academic or professional) in statistics, programming, or marketing.
• Strong knowledge of cloud-based data environments (e.g., AWS Redshift, Glue, Andes, or similar).
• Excellent communication skills, comfortable working with both technical and business stakeholders.
• Strong analytical mindset with the ability to decompose business requirements into actionable plans.

• SQL, Python, Tableau (or equivalent) – 4–6 years.
• Experience with large-scale datasets – 2–5 years.
• Background in statistics, programming, and marketing (Master’s degree preferred).

• Opportunity to impact a high-revenue subscription program supporting recurring customer engagement.
• Direct collaboration with stakeholders and engineers on high-visibility projects.
• Chance to build a strong BI portfolio through complex datasets and scalable data solutions.
• High-touch team environment with strong collaboration and growth opportunities.
• Flexibility for remote work, with potential for extension or conversion based on performance.