Senior Business Data Analyst - Ad Operations

Senior Data Analyst for ad operations at Arity focuses on monitoring and optimizing programmatic campaigns, collaborating with AdOps, Product, and Data Science, and designing A/B tests to enable ML driven automation.

Responsibilities

• Oversee programmatic campaigns by leveraging real-time and historical data signals to optimize performance.
• Identify performance bottlenecks across supply, demand, and delivery components and propose targeted interventions.
• Design and evaluate A/B and multivariate tests, incorporating sensor-based features into testing frameworks.
• Collaborate with AdOps, Product, and Data Science to scale optimization strategies across the organization.
• Contribute to automated decisioning systems for campaign management, including budget allocation and bidding adjustments.
• Partner with data scientists to translate business problems into ML driven solutions such as propensity models, bidding optimization, and segmentation.
• Lead the shift from manual campaign management to automated, intelligence driven optimization.

Requirements

• Bachelor’s degree required.
• 4+ years of experience in data analysis, campaign optimization, or programmatic advertising.
• Strong proficiency in SQL and Python for large-scale data analysis.
• Solid understanding of the programmatic advertising ecosystem and KPIs such as CPM, CPC, win rate, CPA, and ROAS.
• Experience designing and analyzing experiments, including A/B testing and causal inference methods.
• Strong problem-solving and analytical thinking skills with a focus on measurable outcomes.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.
• Location: Remote.

Technologies

• Python
• SQL
• BigQuery

Benefits

• Laptop, monitors, headset, keyboard, and mouse provided
• Monthly connectivity reimbursement for home internet costs
• Flexible environment that embraces connection and belonging

Skills

• Data Analytics
• Digital Advertising
• Programmatic Advertising
• Python (Programming Language)
• SQL (Structured Query Language)

Compensation

• USD 75,100 - 126,325 per year