Senior Business Data Analyst

Role Description

As a Senior Data Analyst for ad operations, you are responsible for monitoring and optimizing our digital advertising campaigns on the Arity marketing platform. You will closely work with the account management/adOps team to understand the campaign goals and dig into the data to look for insights to make recommendations to optimize the campaign. You will design A/B testing to measure the effectiveness of the optimization. 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

• 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

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

Compensation

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

Additional Information

The candidate(s) offered this position will be required to submit to a background investigation.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.