Key Responsibilities
Strategy & Planning: Build full-funnel paid media strategies aligned with business
goals across channels like Google Ads, Meta Ads, and LinkedIn Ads.
Budget Management: Allocate, monitor, and scale monthly ad spend budgets to
ensure high efficiency and target CPA/ROAS.
Optimization & Testing: Lead continuous A/B testing for ad copy, creative assets, and
audience segmentation.
Data Analytics: Track campaign metrics using tools like Google Analytics, synthesizing
data into actionable insights. Check data to see which ads work best.
Collaboration: Partner with creative, brand, and data teams to align messaging and
improve conversion pathways.
Improve tracking: Work with data scientists to measure ad impact accurately.
Report to executives: Share performance updates with company leaders
Technical Platform Skills
Navigating ad engines like Google Ads, Meta Ads Manager (Facebook/Instagram), LinkedIn Ads,
or TikTok Ads.
Setting up precise audience targeting, keyword research, and negative keyword lists.
Managing bidding types, pacing large daily budgets, and setting up frequency caps.
Installing conversion pixels, tracking tags, and managing attribution models.
Requirements & Qualifications
Experience: 8 to 10+ years of professional experience in performance marketing or
paid media (agency or in-house).
Platform Mastery: Advanced expertise in Google Ads, Meta Ads Manager, and
analytics dashboards.
Analytical Skills: Strong proficiency in Excel or data visualization tools with a deep
understanding of attribution models.
Communication: Excellent stakeholder management and presentation skills for
reporting performance to leadership or clients.
Education: Bachelor’s degree in Marketing, Business, Advertising, or a related field
(preferred)
Analytical & Data Skills
Tracking core metrics such as CPC (cost per click), CPA (cost per acquisition), CTR (click-through
rate), and ROAS (return on ad spend).
Using data suites like Google Analytics (GA4) and Looker Studio to build automated performance
dashboards.
Designing and running structured A/B tests for copy, images, and target demographics.
Organizing and interpreting rows of data using Excel or Google Sheets (pivot tables, vlookups)
Soft Skills & Strategy
Communicating data trends clearly to non-marketing stakeholders or clients.
Collaborating cross-departmentally with content, design, and product teams.
Adapting quickly to frequent algorithm updates and shifting privacy/data regulations
Kindly send your updated resume and fill the required queries below
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