Business Intelligence Engineer

About the role

Join a high-impact analytics team as a Business Intelligence Engineer supporting marketing and finance insights for a fast-moving advertising environment. This role is ideal for someone who enjoys turning complex data into clear recommendations, building scalable reporting, and partnering with cross-functional teams to support decision-making.

Responsibilities

• Translate broad business questions into structured analytics plans and actionable insights
• Analyze large, complex datasets to evaluate program performance, customer behavior, and business trends
• Design, build, and maintain metrics, dashboards, and reporting tools that support leadership decisions
• Conduct statistical testing for A/B and multivariate experiments
• Perform ad hoc analysis to investigate unusual patterns, customer usage, and profile-based questions
• Use data mining, segmentation, and model-building techniques to identify meaningful trends
• Collaborate with partners across finance, product, sales, operations, technology, and leadership teams
• Contribute to strategic and tactical planning discussions with data-backed recommendations

Skills

• 3-6 years of experience working with large-scale, complex datasets
• Strong SQL skills, including writing queries from scratch
• Analytical mindset with the ability to break down business needs into a clear plan
• Experience applying statistical methods to solve business problems
• Strong communication skills and the ability to explain findings to both technical and non-technical audiences
• Comfort working in a fast-paced environment with evolving priorities
• Attention to detail and a self-starter approach
• Background in statistics, programming, marketing, computer science, mathematics, or a related field

Preferred Skills

• Experience with SAS
• Graduate degree in a related discipline
• Experience supporting finance, marketing, or advertising analytics
• Familiarity with large-scale data environments and exploratory analysis
• Exposure to automation or AI-assisted analysis tools
• Experience with ETL processes and Spark
• Ability to work collaboratively across multiple business functions

Benefits

• Medical, dental, and vision coverage
• Retirement benefits

Pay

The pay range for this role is $33 - $67 per hour based on qualifications and experience.