Marketing Analyst - Agency Performance/Social & Brand

Role Summary:

The Marketing Analyst supports performance, social, brand and MIS teams by analysing campaign, ad-level and funnel-level data to identify whats working, whats not, and why.

The role focuses on turning marketing data into clear insights and optimisation actions that improve campaign efficiency, scalability and overall agency performance.

Key Responsibilities:

Performance Measurement & Insights

- Analyse data from ad platforms, analytics tools and spreadsheets.

- Prepare regular and ad-hoc reports and dashboards.

- Evaluate cross-channel performance against KPIs.

- Deep-dive into audience, creative, funnel and geography.

- Share actionable insights and optimisation recommendations.

Digital & Marketing Data Automation

- Maintain and enhance automated reporting dashboards.

- Support data extraction, validation and hygiene.

- Identify reporting gaps and automation opportunities.

- Ensure accuracy and consistency across reports.

Planning & Optimisation Support

- Provide data inputs for media planning and optimisation.

- Support reach, frequency, CPA, ROAS and funnel analysis.

- Track A/B tests and document learnings.

- Enable faster, data-backed decision-making.

Market & Consumer Analysis

- Combine media, market and consumer data for holistic views.

- Track trends in campaign, content and brand performance.

- Analyse funnel behaviour and drop-offs.

- Maintain scorecards and benchmarks for accounts.

Stakeholder Collaboration

- Work closely with performance, social, brand, MIS and client teams.

- Support analytics deep dives and insight requests.

- Drive adoption of analytics tools and frameworks.

Basic Qualifications & Skills:

Experience

- 2-4 years in marketing, media or digital analytics.

- Agency experience preferred.

Technical Skills

- Google Analytics (GA4).

- Google Tag Manager.

- Adobe Analytics.

- Excel / Google Sheets (advanced).

- Looker Studio.

- Google BigQuery (working knowledge).

Core Competencies

- Strong analytical and problem-solving skills.

- Comfortable with large, multi-brand datasets.

- Experience in reporting, dashboards and basic automation.

- Strong understanding of performance & social metrics.

- Clear communication and insight storytelling.

- High ownership, detail-oriented and proactive.