Ad Operations Analyst - English

Jobgether; India; On-site; INR 794,000 - 1,191,000; Part time

Benefits offered by this job

Compensation: US$7 per hour

Contract: Freelance with potential to转

Location: India

Language: English

Flexibility: Freelance structure

Job summary

Jobgether seeks an Ad Operations Analyst (English-based) in India. The role evaluates campaign data and automated recommendations across AdTech/MarTech, analyzes performance, spend, and efficiency, and ensures budget suggestions align with data.

It offers freelance flexibility with a path to full-time, applying analytical reasoning to complex campaigns. The successful candidate will document findings, maintain data quality, and contribute to AI-supported decision systems in digital advertising

Qualifications

• Strong analytical and numerical skills to interpret campaign data and performance metrics.
• Experience with advertising campaigns, Ad Operations, AdTech or MarTech.
• Ability to identify patterns, inconsistencies, and anomalies in datasets.
• Understanding of ROAS, spend, conversions, and campaign efficiency.

Responsibilities

• Review and evaluate advertising campaign data per project guidelines.
• Identify unusual patterns and anomalies in campaign performance data.
• Assess whether automated budget recommendations are reasonable using available data.
• Document decisions and supporting reasoning when required.
• Maintain high standards of quality, accuracy, and attention to detail.

Skills

Analytical skills

Numerical skills

Data interpretation

Attention to detail

Independent worker

English writing

Education

Advertising analytics

Tools

Spreadsheets

Data tools

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Ad Operations Analyst - Englishbased inIndia.

As an Ad Operations Analyst, you will evaluate advertising campaign data and automated recommendations across AdTech and MarTech environments.
You will analyze campaign performance, spending, efficiency, and other key indicators to identify meaningful trends and anomalies.
A key part of the role involves assessing whether automated budget recommendations are reasonable based on available data.
You will apply analytical and mathematical reasoning to complex or ambiguous campaign scenarios while following defined project guidelines.
Your human-reviewed assessments will help improve automated systems that support advertising and marketing decisions.
This freelance opportunity offers the potential to transition into a full-time role while providing hands-on exposure to digital advertising analytics and AI-supported decision systems.

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 elevate 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.