About this role
Accountabilities:
- 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.
- Clearly document decisions, findings, and supporting reasoning when required.
- Identify unclear or unusual cases and escalate them through established project processes.
- Apply detailed project guidelines consistently across assigned tasks.
- Maintain high standards of quality, accuracy, consistency, and attention to detail.
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 is preferred.
- Ability to work independently while maintaining consistent quality across assigned analytical tasks.
Benefits:
- Compensation: US$7 per hour.
- Contract type: Freelance, with potential opportunity to transition to a full-time role.
- Location: India.
- Language: English.
- Flexibility: Freelance structure offering flexibility in managing assigned work.
- Professional exposure: Hands-on experience with digital advertising, AdTech, MarTech, campaign analytics, and automated decision-support systems.
- Impact: Contribute to improving the accuracy, reliability, and financial quality of automated advertising and marketing systems.
- Skill development: Opportunity to strengthen expertise in advertising analytics, campaign performance evaluation, budget analysis, and AI-supported systems.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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