Ad Operations Analyst
Remote USAFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 2–5 years of experience
- Required Skills
- Data AnalysisHTMLJavascriptMicrosoft Power BITableauMicrosoft ExcelGoogle Sheets
Requirements
- Bachelor's degree in Marketing, Communications, Business, Mathematics, or a related field.
- 2–5 years of experience in digital advertising, ad operations, or a related role.
- Strong proficiency in Microsoft Excel or Google Sheets (pivot tables, VLOOKUP/XLOOKUP, basic formulas).
- Exceptional attention to detail and ability to manage multiple campaigns simultaneously under tight deadlines.
- Strong numerical and analytical skills with comfort working with large data sets.
- Excellent written and verbal communication skills.
- A proactive, problem-solving mindset with a willingness to learn new tools and platforms quickly.
- Familiarity with data visualization tools such as Looker Studio, Tableau, or Power BI.
- Basic understanding of HTML/JavaScript for creative troubleshooting.
- Prior experience in an agency or media buying environment.
Responsibilities
- Traffic, QA, and launch digital ad campaigns across direct publisher platforms.
- Set up targeting parameters including audience segments, geo-targeting, frequency caps, and bid strategies.
- Monitor live campaigns daily, flagging delivery issues, pacing discrepancies, or creative rejections and resolving them promptly in collaboration with senior team members.
- Pull and compile performance reports (CTR, viewability, VCR, CPA, ROAS) on a daily and weekly basis.
- Perform basic campaign optimizations such as bid adjustments, creative rotation, and placement exclusions, escalating complex issues to senior ad ops staff.
- Maintain accurate trafficking sheets, campaign trackers, and naming convention documentation in line with team standards.
- Coordinate with creative teams and clients to gather and organize ad assets, ensuring all specs are met before launch.
- Support the account management team with post-campaign reporting and analysis, identifying learnings to inform future campaign strategy.
- Contribute to team process improvements by flagging inefficiencies and suggesting workflow enhancements.
- Stay current with digital advertising trends, platform updates, and industry best practices, sharing learnings with the wider team.
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