Senior Business Data Analyst - Ad Operation

Job Description Arity is a part of the Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. This team is also fully integrated within a cross-functional scrum structure including product owners, software engineers, account management/adOps team, and other talents to collaborate with to achieve the same business goals The Role As a Senior Data Analyst for ad operations, you are responsible for monitoring and optimizing our digital advertising campaigns on Arity marketing platform. You also need to work with data scientists to provide operational insights for building automated solutions using machine learning and AI algorithms so that you can leverage them in running the campaign wherever necessary. Key Responsibilities Your day-to-day looks like: 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 Required Qualifications 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 At Arity, great things happen when our people work together. To view the FMLA poster, click “ here ”.