Digital Marketing Data Analyst Role

Job Overview

The Digital Marketing Data Analyst is responsible for analyzing digital marketing campaigns and initiatives to provide actionable insights that drive performance optimization. This role focuses on data collection, performance measurement, and strategic analysis of digital channels (such as paid search, social media, email marketing, SEO, etc.) to support the marketing team in achieving growth and engagement goals. The ideal candidate has a strong background in data analysis, digital marketing platforms, and the ability to translate complex data into clear and actionable insights.

Key Responsibilities

Campaign Performance Analysis

• Analyze digital marketing campaigns across various channels (e.g., Google Ads, Facebook Ads, email campaigns, SEO, content marketing) to track performance and identify areas for improvement.
• Provide regular reporting on key performance indicators (KPIs) such as traffic, conversions, bounce rates, engagement, and return on investment (ROI).
• Utilize data visualization tools (e.g., Tableau, Google Data Studio, Power BI) to create easy-to-understand reports and dashboards for the marketing team.
  
  

Data Collection & Reporting

• Collect and analyze data from multiple digital marketing platforms and tools (Google Analytics, SEMrush, AdWords, HubSpot, etc.) to assess the effectiveness of marketing efforts.
• Monitor website and campaign traffic, user behavior, and conversion metrics to understand how digital strategies are impacting business goals.
• Develop and distribute regular reports that summarize findings, insights, and recommendations for optimization.
  
  

A/B Testing & Optimization

• Conduct A/B tests and multivariate testing on digital campaigns to determine the most effective creative assets, audience targeting, and messaging.
• Use data to recommend adjustments to campaigns, including bid strategies, keyword optimization, audience segmentation, and content tweaks.
• Track the results of test variations and use statistical analysis to determine the significance of results.
  
  

Customer Segmentation & Targeting

• Segment digital audiences based on behavior, demographics, and engagement patterns to create personalized marketing strategies.
• Work with the marketing team to define customer personas and target segments for future campaigns based on data analysis.
• Provide insights into customer journeys, highlighting conversion bottlenecks and opportunities for improved targeting.
  
  

Digital Marketing Strategy Support

• Collaborate with digital marketers, content creators, and designers to align marketing strategies with data-driven insights.
• Provide data-backed recommendations for campaign adjustments, new initiatives, and channel shifts based on the analysis of current and past performance.
• Help identify new growth opportunities, trends, or emerging digital marketing tactics that could benefit the company’s overall strategy.
  
  

Data Quality & Accuracy

• Ensure data accuracy and integrity across all digital marketing tools, platforms, and reporting systems.
• Collaborate with other data teams to implement best practices in data collection, tracking, and attribution models.
• Troubleshoot tracking issues and work with technical teams to resolve discrepancies in data reporting.
  
  

Qualifications

• Bachelor’s degree in Marketing, Data Analytics, Business Administration, or a related field.
• 2–4 years of experience in digital marketing analytics, data analysis, or related roles.
• Strong proficiency with data analysis tools (Google Analytics, Excel, SQL, etc.) and digital marketing platforms (Google Ads, Facebook Ads, HubSpot, etc.).
• Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.
• Understanding of key digital marketing metrics and KPIs (CTR, CPA, ROI, CAC, LTV, etc.).
• Familiarity with A/B testing methodologies and analytics tools for experiment design.
  
  

Preferred Skills

• Knowledge of advanced statistical analysis and modeling techniques (e.g., regression analysis, predictive analytics).
• Experience with marketing automation platforms (e.g., Marketo, Pardot, Mailchimp).
• Strong understanding of SEO and SEM principles, including keyword research, link building, and content optimization.
• Ability to work cross-functionally with creative, content, and technical teams to optimize marketing efforts.
  
  

Key Performance Indicators (KPIs)

• Improvements in digital campaign performance (e.g., increased ROI, reduced CPA, improved conversion rates).
• Accuracy and relevance of data analysis and reporting.
• Successful implementation of A/B tests and optimization strategies.
• Increase in customer engagement and traffic from targeted digital marketing efforts.