The Lead Engineer, Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement BI strategies.

In Short

Define and drive the BI strategy, ensuring alignment with business objectives.
Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
Design, implement, and optimize scalable data models and architectures for reporting and analytics.
Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake).
Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
Establish and enforce BI best practices, including data governance, security, and documentation.

Requirements

Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
6+ years of experience in business intelligence, data engineering, or a similar role.
Expert-level proficiency in SQL, data modeling, and ETL development.
Extensive experience with BI tools such as Power BI, Tableau, or Looker.
Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions.
Strong programming skills in Python, R, or other scripting languages for data automation.
Proven ability to lead teams and manage large-scale BI initiatives.
Excellent problem-solving, strategic thinking, and stakeholder communication skills.
Experience with machine learning, AI-driven analytics, or predictive modeling.
Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar).