Senior Business Data Analyst - Ad Operations - Arity

About the role

Drive sales growth by engaging with interested prospective customers, all while working remote. No cold calling—Connect through inbound calls and proactive outbound calls with active insurance shoppers. Enjoy competitive compensation with a base salary + uncapped performance-based incentives. Sell reputable products from Allstate and our family of brands.

Responsibilities

• Monitor and optimize programmatic campaigns using real-time and historical data signals
• Diagnose performance issues across supply, demand, and delivery systems; recommend targeted interventions
• Design and evaluate A/B and multivariate experiments, integrating sensor-based features into test frameworks
• Collaborate cross-functionally with AdOps, Product, and Data Science to operationalize optimization strategies at scale
• Contribute to the development of automated decisioning systems for campaign management (e.g., budget allocation, bidding adjustments)
• Partner with data scientists to translate business problems into ML-driven solutions (e.g., propensity models, bidding optimization, segmentation)
• Drive the evolution from manual campaign management to automated, intelligence-driven optimization systems

Requirements

• Bachelor’s degree
• 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 programmatic advertising ecosystem and KPIs (CPM, CPC, win rate, CPA, ROAS)
• Experience designing and analyzing experiments (A/B testing, causal inference methods)
• Strong problem-solving and analytical thinking skills with a focus on driving measurable outcomes
• Ability to communicate insights effectively to both technical and non-technical stakeholders

Preferred Qualifications

• Familiarity with machine learning concepts and collaborating on production ML systems
• Experience with cloud data platforms (e.g., BigQuery) and data pipeline development
• Experience building semantic layers or analytical models for scalable reporting
• Experience leveraging AI-powered coding assistants to enhance productivity

Skills

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

Benefits

Compensation offered for this role is $75,100.00 – $126,325.00 annually and is based on experience and qualifications.

Pay

$75,100.00 – $126,325.00 annually

Schedule

Remote work