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Performance Marketing Analyst

KaizenQue

0 - 3 years

Bengaluru

Posted: 10/01/2026

Getting a referral is 5x more effective than applying directly

Job Description

PERFORMANCE MARKETING ANALYST

(Google Ads Meta TikTok Mobile App Ads Affiliate Marketing)

Role Summary

We are looking for a highly analytical and detail-oriented Performance Marketing Analyst to support, analyze, and optimize paid marketing performance across Google Ads, Meta (Facebook/Instagram), TikTok Ads, mobile app advertising channels, and affiliate marketing networks .


This role is responsible for tracking accuracy, attribution, performance analysis, reporting, and insight generation across web and app funnels. The analyst acts as a critical bridge between performance execution teams and growth leadership , ensuring every decision is backed by accurate data and measurable impact.

Key Responsibilities

1. Data Tracking, Measurement & Attribution (Web + App)

  • Ensure 100% accurate tracking across web and mobile app funnels.
  • Set up, validate, and audit:
  • GA4, Google Tag Manager, server-side tracking
  • TikTok Pixel & Events API
  • Mobile attribution tools (AppsFlyer, Adjust, Firebase, Branch, etc.)
  • Affiliate tracking links, postbacks, and conversions
  • Maintain consistency between ad platforms, analytics tools, and attribution systems.
  • Resolve tracking discrepancies within defined SLAs.

2. Cross-Channel Performance Analysis

  • Monitor and analyze daily performance across:
  • Google Ads & YouTube
  • Meta Ads
  • TikTok Ads (short-form & UGC-driven campaigns)
  • Mobile app install & in-app event campaigns
  • Affiliate networks and partners
  • Track KPIs such as CTR, CPC, CPI, CPA, ROAS, LTV, retention, cohort performance, and funnel drop-offs .
  • Identify underperforming campaigns and flag issues proactively.

3. Optimization Insights & Growth Recommendations

  • Deliver data-backed optimization insights on:
  • Budget allocation
  • Audience performance & cohorts
  • Creative fatigue (especially TikTok & UGC formats)
  • App install vs in-app event efficiency
  • Affiliate partner quality & fraud signals
  • Track implementation and performance impact of recommendations.
  • Support scaling decisions with trend and cohort analysis.

4. Mobile App Ads & Funnel Analytics

  • Analyze app install (CPI), activation, retention, and LTV by channel.
  • Evaluate SKAN / privacy-led attribution performance (where applicable).
  • Identify funnel leaks between install onboarding conversion.
  • Support UA teams with insights for app growth and monetization.

5. Affiliate Marketing Analytics & Partner Performance

  • Track affiliate performance by:
  • Partner
  • Traffic source
  • Conversion quality
  • Fraud risk indicators
  • Monitor postback accuracy, attribution overlap, and deduplication issues .
  • Identify top-performing affiliates and low-quality traffic.
  • Share insights to improve partner selection, payouts, and scaling.

6. Attribution Modeling & Funnel Intelligence

  • Support multi-touch attribution models across web, app, and affiliate channels.
  • Analyze channel contribution across full-funnel journeys.
  • Assist in resolving attribution conflicts (paid vs affiliate vs organic).
  • Provide insights on assisted conversions and incremental lift.

7. Reporting, Dashboards & Insights

  • Build and maintain cross-channel dashboards covering web, app, TikTok, and affiliates.
  • Deliver weekly and monthly performance reports with clear business insights.
  • Ensure reports are accurate, timely, and decision-oriented.
  • Translate complex data into clear narratives for stakeholders.

8. Budget Monitoring & Spend Efficiency

  • Track daily spend and pacing across platforms.
  • Identify anomalies, overspend, or inefficiencies early.
  • Support budget forecasting and ROI projections.
  • Help reduce wasted spend through data-led interventions.

9. A/B Testing & Experimentation Analysis

  • Track and analyze tests across:
  • Creatives (especially TikTok video formats)
  • Landing pages & app onboarding flows
  • Affiliate traffic segments
  • Validate statistical significance and document outcomes.
  • Maintain centralized experiment logs and insights repository.

10. Competitor & Market Intelligence

  • Monitor competitor activity across:
  • TikTok creative trends
  • App store acquisition strategies
  • Affiliate offers and payout structures
  • Analyze auction insights, share-of-voice, and market benchmarks.
  • Share competitive insights with performance and strategy teams.

11. Automation, Tools & Process Improvement

  • Automate reporting and anomaly detection where possible.
  • Reduce manual analysis and reporting workload.
  • Contribute to analytics SOPs, templates, and dashboards.
  • Support adoption of new analytics and attribution tools.

Required Skills


Technical & Analytical Skills

  • Strong understanding of performance marketing metrics across web & app
  • Hands-on experience with:
  • GA4, GTM, Looker Studio
  • TikTok Ads Manager
  • Mobile attribution tools (AppsFlyer, Adjust, Firebase, Branch)
  • Affiliate tracking platforms & postback logic
  • Advanced Excel / Google Sheets skills
  • Strong statistical and analytical thinking


Soft Skills

  • Ability to convert data into clear, actionable insights
  • Strong attention to detail and ownership mindset
  • Clear communication with marketers, UA teams, and leadership
  • Structured problem-solving approach

Experience & Qualifications

  • 25 years experience in performance marketing analytics or growth analytics
  • Proven exposure to TikTok Ads, mobile app marketing, or affiliate analytics
  • Experience in mass tort lead generation, eCommerce, SaaS, or app-driven businesses preferred
  • Certifications in Google Analytics, App Analytics, or Paid Media are a plus

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