
Data Driven Professional
2 weeks ago
Senior Marketing Data Analyst
We are seeking a seasoned data-driven professional with a strong analytical mindset and experience handling digital marketing data. The ideal candidate will have expertise in navigating various platforms (web analytics, ad platforms, and other allied data) and turning that into meaningful insights for business stakeholders.
This role is a hybrid Digital/Marketing Analytics position rather than a purely web analyst or strictly data analyst position. It requires the ability to work across multiple digital platforms, including GA4, as well as other MarTech/AdTech data sources (CRM, ads, surveys, etc.).
- Focusing on Multiple Digital Platforms: Work across multiple GA4-compatible platforms, plus other MarTech/AdTech data sources (CRM, ads, surveys, etc.).
- Wider Data Landscape: Proficiency in extracting and manipulating data using SQL (BigQuery or similar databases).
- Marketing & Performance Insights: Translate data into actionable insights to optimize campaigns and improve ROI.
Key Responsibilities:
- Focusing on Multiple Digital Platforms: Work across multiple digital platforms, including GA4, as well as other MarTech/AdTech data sources (CRM, ads, surveys, etc.).
- Wider Data Landscape: Proficiency in extracting and manipulating data using SQL (BigQuery or similar databases).
- Marketing & Performance Insights: Translate data into actionable insights to optimize campaigns and improve ROI.
Requirements:
- Digital Marketing Analytics: Experience with web analytics tools (GA4, Adobe Analytics, etc.) and familiarity with common marketing channels (paid ads, SEO, email) and how their data is tracked.
- SQL & Data Querying: Proficiency in extracting and manipulating data using SQL (BigQuery or similar databases).
- Multi-Source Data Wrangling: Comfortable cleaning, merging, and normalizing data from different platforms (CRM, ad platforms, surveys).
- Data Visualization & Reporting: Skilled in creating dashboards and reports with Looker Studio, Tableau, Power BI, or equivalent tools.
- Basic Statistical Methods: Understanding of fundamental statistics (e.g., hypothesis testing, regression basics).
- Marketing Performance Metrics: Knowledge of KPIs such as CTR, CPA, ROI, LTV, etc.
- Communication & Stakeholder Management: Excellent at translating data insights into non-technical language.
- Critical Thinking & Problem-Solving: Strong analytical mindset to spot trends and derive strategic recommendations.
- Adaptability & Continuous Learning: Willingness to explore new analytical tools and stay updated with MarTech/AdTech trends.
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