Job Purpose
The Marketing Analyst will gather, process, analyze, and interpret data related to marketing campaigns, customer behaviour, and market trends. The insights generated will inform strategy, optimize marketing spend, improve ROI, and help Data InfoMetrix stay competitive and customerfocused.
Reports To
Marketing Manager
Key Responsibilities
- Collect data from various marketing channels (digital campaigns, email, social media, website analytics, offline media, etc.) and internal systems (CRM, sales data).
- Clean, validate, and ensure integrity of data; maintain data pipelines / dashboards for accurate and timely insights.
- Monitor campaign performance metrics: conversions, ROI, CAC (Customer Acquisition Cost), CLV (Customer Lifetime Value), churn rates, etc.
- Conduct market research and competitor analysis to understand market dynamics, customer segments, pricing, positioning, and emerging opportunities.
- Build dashboards and reports (weekly, monthly, quarterly) for stakeholders – marketing, sales, leadership – highlighting performance, trends, anomalies, and recommendations.
- Perform A/B tests, experiment design, attribution modeling to assess which channels and strategies are most effective.
- Model customer segmentation and behaviour; forecast marketing outcomes; identify opportunities for improvement in targeting, messaging, channel mix.
- Collaborate crossfunctionally with product, sales, operations, creative teams to ensure insights inform strategy, content, user experience etc.
- Recommend optimization of budgets, campaign strategies, channel allocation based on data and trends.
Required Skills & Experience
- Bachelor’s degree in Marketing, Business, Statistics, Data Science, Economics, or related field. Master’s / MBA or advanced degree is a plus.
- Typically 2-5 years of experience (or more depending on level) in marketing analytics, data analysis, business intelligence or similar role.
- Strong proficiency in data tools and technologies: SQL, Excel, BI / visualization tools (e.g. Tableau, Power BI, Looker), Google Analytics (or similar).
- Understanding of attribution models, A/B testing, experimentation.
- Good knowledge of digital marketing channels: SEO, SEM, social media, email marketing, display / programmatic etc.
- Strong analytical & critical thinking; ability to translate data and insights into actionable recommendations.
- Good communication skills – able to present insights clearly to technical & non-technical stakeholders.
- Attention to detail, time management; ability to handle multiple projects under deadlines.
Desired Attributes
- Curious and proactive: always looking to dig deeper into data, identify root causes, spot trends.
- Business acumen: ability to see how marketing metrics link back to business goals (revenue, growth, profitability).
- Team player: able to work collaboratively across functions.
- Comfortable with ambiguity; able to operate in fast-changing environments.
Tools / Technologies (Typical)
- SQL, Excel / Google Sheets
- BI / reporting tools (Power BI, Tableau, Looker etc.)
- Web analytics (Google Analytics, Adobe Analytics etc.)
- Marketing automation / CRM tools
- Possibly some exposure to Python or R for advanced analytics (optional / preferred)
Success Metrics
- Some possible KPIs to judge success in this role might include:
- Improvement in campaign ROI / cost per acquisition
- Increased lead volume and/or quality
- Reduction in churn or improvement in customer retention
- Faster reporting turnaround, more actionable insights used in strategy
- Efficiency of marketing budget allocation across channels
