Business Intelligence Engineer, ADSP Product Operations & Analytics

What You'll Do

• Extract and analyze data, build reliable pipelines, spot meaningful patterns, and translate complex findings into clear stories that resonate with business stakeholders.
• Collaborate with diverse teams to create centralized data tools that meet different needs, goals, metrics, and risk considerations across the organization.
• Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations.
• Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems.
• Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs.
• Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency.
• Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes.
• Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities.
• Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations.
• Collaborate across engineering, data science, and business teams to build centralized data tools.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• 3+ years of developing automated reporting experience.
• 2+ years of processing large, multi-dimensional datasets from multiple sources experience.
• 1+ years of performing statistical analysis experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
• Experience in Statistical Analysis packages such as R, SAS and Matlab.
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.

Pay & Benefits

Base salary range: USA, NY, New York - 109,500.00 - 185,000.00 USD annually; USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually. Your package will also include sign-on payments and restricted stock units (RSUs). Final compensation determined by experience, qualifications, and location.

Benefits include health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

This response is AI-generated, for reference only.