Job Description

Job Title: Business Intelligence Lead

Salary Range: $80k – $95k annually

About the Role

We are seeking a strategic and technically skilled Business Intelligence Lead to drive data-informed decision-making across the organization. This role blends leadership, data engineering, and business intelligence to transform complex datasets into actionable insights. You’ll lead a high-performing team, mentor junior analysts, and collaborate cross-functionally to support enterprise-wide initiatives.

Key Responsibilities

Leadership & Team Development

• Inspire and guide a team of data professionals, fostering a culture of innovation and continuous improvement.
• Set clear goals, monitor performance, and provide coaching to support professional growth.
• Participate in hiring, onboarding, and training to build a resilient and agile team.
• Serve as a point of escalation for complex data and reporting challenges.

Data Engineering & Analytics

• Design and maintain robust ETL pipelines using Python, SQL, and orchestration tools like Apache Airflow.
• Develop and optimize data models using Kimball methodology.
• Build and maintain dashboards and reports using Power BI, SSRS, and other visualization tools.
• Leverage Python (especially pandas) for data transformation, statistical analysis, and automation.
• Create interactive data applications using frameworks like Streamlit.

Governance & Compliance

• Ensure data quality, integrity, and security across all analytics initiatives.
• Maintain documentation for data sources, transformations, and business logic.
• Conduct regular audits and ensure compliance with internal policies and regulatory standards.

Strategic Reporting

• Partner with business leaders to deliver insights that support strategic goals.
• Develop automated reporting solutions to streamline decision-making.
• Provide ad-hoc analysis and support for audits, compliance, and executive reporting.

Qualifications

Required:

• Bachelor’s degree in a related field (e.g., Data Science, Computer Science, Business Analytics).
• Minimum 4 years of experience in data engineering or business intelligence.
• Proven leadership experience in a technical or analytical team environment.
• Proficiency in SQL, Python, and data visualization tools (Power BI, SSRS).
• Strong understanding of ETL processes, data modeling, and workflow orchestration.

Preferred:

• Experience with Streamlit or similar web-based data tools.
• Familiarity with scripting languages like PowerShell.
• Background in regulated industries or environments with strict data governance.

Why Apply?

This is a unique opportunity to lead a data-driven transformation in a collaborative and mission-focused environment. You’ll have the autonomy to shape strategy, the tools to innovate, and the support to grow your career.

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