IntePros
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.
Key Responsibilities
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.
Typical Day in the Role
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.
Required Skills & Qualifications
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.
Top 3 must-have skills (stack-ranked):
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).
Why This Role Stands Out
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.