Ad Operations Analyst - English
New
J
JobgetherAdvertising Technology
IndiaContract
Salary7 USD per hour
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Job Details
- Languages
- English
- Required Skills
- Data Analysis
Requirements
- Educational background or equivalent experience in Advertising, Digital Marketing, Ad Operations, AdTech, MarTech, Marketing Analytics, Business Analytics, Data Analytics, Finance, Economics, or a related field.
- Experience working with digital advertising campaigns, Ad Operations, AdTech, MarTech, marketing analytics, campaign performance, or a related discipline.
- Strong analytical and numerical skills, with the ability to interpret complex campaign and performance data.
- Ability to identify meaningful patterns, inconsistencies, anomalies, and unusual results within datasets.
- Understanding of digital advertising performance metrics, campaign efficiency, and advertising or marketing workflows.
- Familiarity with advertising budgets, campaign spend, and performance-based decision-making.
- Ability to evaluate automated recommendations and system outputs using available data and defined guidelines.
- Strong attention to detail and the ability to make accurate, consistent, and evidence-based decisions.
- Experience working with spreadsheets, data analysis tools, or related analytical platforms.
- Strong written English comprehension and documentation skills.
- Familiarity with advertising metrics such as ROAS, spend, conversions, campaign efficiency, and performance trends.
- Ability to work independently while maintaining consistent quality across assigned analytical tasks.
Responsibilities
- Review and evaluate advertising campaign data according to defined project guidelines.
- Identify unusual patterns, inconsistencies, anomalies, and unexpected results in campaign performance and related data.
- Review automated budget recommendations and assess whether they are reasonable based on available campaign information.
- Apply analytical and mathematical judgment when evaluating performance trends, campaign spend, efficiency, and budget recommendations.
- Evaluate data related to campaign performance, advertiser spend, efficiency, conversions, and business outcomes.
- Review automated recommendations and system outputs used to support advertising and marketing decisions.
- Analyze complex or ambiguous cases and make informed decisions based on available evidence and project requirements.
- Classify, label, and annotate assigned data accurately and consistently.
- Provide human-reviewed evaluations that support the training and improvement of automated advertising and marketing systems.
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