Media Analyst - Market Insights & Data
Job Title: Media Analyst – Market Insights & Data
Location: Karachi Head Office
Key Responsibilities
1. Market Intelligence & Trend Analysis
- Monitor macro media industry trends, competitor activities, market share dynamics, and changing consumer behaviors.
- Leverage syndicated media research tools to discover audience insights, market opportunities, and media consumption shifts.
- Provide proactive strategic recommendations to guide media planning, message positioning, and campaign timing.
2. Cross-Channel Performance & Analytics
- Track, evaluate, and report on campaign performance across all paid, owned, and earned channels (Digital Display, Search, Social, Programmatic, CTV/Linear TV, Audio, and Print).
- Establish key performance indicators (KPIs) and benchmarks across different campaigns, channels, and product lines.
- Analyze audience engagement, attribution paths, conversion rates, and return on ad spend (ROAS).
3. Data Management, Reporting & Visualization
- Synthesize multi-source data streams into structured, executive-ready presentations and performance summaries.
- Ensure data hygiene, consistent tracking frameworks, and attribution accuracy across systems.
4. Attribution & Audience Insights
- Perform deep-dive audience segmentation analyses using 1st-party customer data and 3rd-party data providers.
Qualifications & Skills
- Education: Bachelor’s degree in Business Analytics, Marketing, Statistics, Economics, Data Science, or a related field.
- Experience: 1–3 years of experience in media analytics, business intelligence, market research, or media planning (agency or brand side).
- Soft Skills: Excellent verbal and written communication skills with a proven ability to translate technical metrics into compelling narrative stories for business leaders.
Core Competencies
- Quantitative Acumen: Comfort working with large, multi-channel datasets and statistical models.
- Strategic Thinking: Ability to look beyond immediate metrics to understand overarching business objectives.
- Problem-Solving: Curious mindset driven to find hidden patterns, anomalies, and whitespace opportunities in data.