Our client is looking to hire a Campaign Strategist to be the analytical engine behind high-performing campaigns. The Campaign Strategist translates massive datasets into clear decisions, pilot new DL/LLM features, and partners with Client Success, Data Science, and Ad Ops to deliver results across display, OLV, CTV, and emerging channels. This work will improve both client outcomes and our product roadmap.

 

Responsibilities:

• Monitor pacing, delivery, and performance daily; own QA (pixels/tags, model params, supply lists), discrepancy resolution, and change logs
• Establish optimization plans that map to client business metrics (CPA/ROAS/LTV, not just media KPIs)
• Diagnose bidding behavior and auction dynamics using SQL (and Python when needed) across billions of log rows; separate signal from noise
• Design/run tests (A/B, multi-cell, geo-holdout); publish succinct read-outs with recommendations and next steps
• Build dashboards/scorecards (Tableau/Looker/Sheets) that make complex data legible to technical and non-technical partners
• Pilot deep-learning optimizers (e.g., CTR/VCR/CPA models, pacing/autotuner) and LLM workflows (brief → topics → inclusion lists; rationale summaries)
• Document field results and translate into product requirements (signals, guardrails, eval metrics) with Data Science & Product
• Help build the campaign operating system: RACI, runbooks, QA checklists, alerting (pacing/spend anomalies, model drift), experiment registry, reporting standards
• Identify automation opportunities; partner with Eng/Ops to ship scripts/tools that improve speed, accuracy, and repeatability
• Communicate insights clearly to CS, Ad Ops, and DS; contribute to client-facing performance narratives and QBRs with actionable recommendations
  
  

Requirements:

• BS/BA in a quantitative field
• 3-5 years experience in analytics roles, preferably within AdTech or programmatic media environments
• Advanced proficiency with SQL, including complex queries, optimization, and joins
• Strong analytical skills and comfort with interpreting large-scale data sets (billions/trillions of rows)
• Demonstrated ability to communicate complex analytical insights effectively to technical and non-technical audiences
• Solid understanding of statistical methods and experimentation frameworks
• Experience with visualization tools like Tableau and proficiency in creating data pipelines
• Proficiency in Python or similar scripting languages
• Familiarity with predictive analytics, machine learning, and experimentation methodologies
• Experience with distributed SQL technologies and handling large-scale log data
• Knowledge of online marketing analytics and DSP bidding algorithms
• Advanced degree in analytics, statistics, data science, or related technical field
  

Hatty Group was founded to provide the best staffing solutions in Ad Technology, Digital Media, Sales, and Finance with the sole purpose of matching up the right candidates with the right employers. Our goal is to help companies achieve their hiring goals through cost-effective full-cycle recruitment strategies. A passion of ours is landing candidates their dream job. With over a decade of experience, Hatty Group has the industry knowledge and networks to match employers to candidates, and vice versa.

Posted On: Tuesday, September 16, 2025