Remote Meta Paid Social Analyst - Data-Driven ROI

TubeScience

United States

Remote

USD 90,000 - 120,000

Full time

14 days+
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Job summary

TubeScience, a leading performance video agency, is seeking a Paid Social Analyst to join our remote team based in LATAM (Argentina, Brazil, Colombia and Peru). If you’re a numbers-driven problem solver, this is your chance to influence results for innovative brands.

You’ll own high-spend Meta campaigns, design strategies, and partner with creatives and production to turn data into growth. Expect fast-paced, collaborative work and clear paths to measurable impact.

Qualifications

  • 3+ years in digital advertising with direct response experience.
  • Exceptional quantitative reasoning and data analysis skills, including Excel.
  • Proven track record managing high-spend Meta campaigns ($1M+/month).
  • Strong attention to detail and organizational skills.
  • Excellent communication for both technical and non-technical audiences.
  • Must be able to work Pacific Time Zone hours.

Responsibilities

  • Design, implement, and refine media buying strategies to maximize ROI across clients.
  • Build, launch, and optimize Meta campaigns with bids, performance tuning and ROAS.
  • Analyze campaign metrics to uncover actionable insights and guide decisions.
  • Collaborate with creative, strategy, and production teams on data-driven solutions.
  • Allocate ad budgets to move the needle and improve outcomes.
  • Translate complex analytics into clear, compelling stories for stakeholders.

Skills

Data analysis
Excel
Direct response
Meta campaign management
Communication
Time zone work

Tools

FB Ads API
SQL
BI tools

Job description

TubeScience, a leading performance video agency, is seeking a Paid Social Analyst to join our remote team based in LATAM (Argentina, Brazil, Colombia and Peru). If you’re a numbers-driven problem solver, this is your chance to influence results for innovative brands.

You’ll own high-spend Meta campaigns, design strategies, and partner with creatives and production to turn data into growth. Expect fast-paced, collaborative work and clear paths to measurable impact.

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