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What Does a Marketing Data and Insights Manager Do? Complete Role Guide 2025

#marketing data manager #insights manager #marketing analytics #data-driven marketing #career guide

Introduction

In today’s data-driven marketing landscape, the Marketing Data and Insights Manager has emerged as a critical role that bridges the gap between raw data and strategic marketing decisions. As businesses increasingly rely on data to understand customer behavior and optimize campaigns, these professionals have become indispensable to marketing teams worldwide.

If you’re considering a career in this field or looking to understand what this role entails, this comprehensive guide will walk you through everything you need to know.

Core Responsibilities

A Marketing Data and Insights Manager is responsible for transforming complex data into actionable marketing strategies. Their primary focus is to help organizations make informed decisions that drive customer engagement, improve ROI, and enhance overall marketing effectiveness.

Data Analysis and Reporting

  • Campaign Performance Analysis: Evaluate the effectiveness of marketing campaigns across multiple channels (digital, social media, email, traditional media)
  • Customer Segmentation: Analyze customer data to identify distinct audience segments and their behaviors
  • Trend Identification: Spot emerging patterns in consumer behavior and market dynamics
  • Dashboard Development: Create and maintain executive dashboards that provide real-time insights into marketing performance
  • ROI Measurement: Calculate and report on return on investment for various marketing initiatives

Strategic Planning and Recommendations

  • Market Research: Design and oversee market research projects to understand customer needs, preferences, and pain points
  • Competitive Intelligence: Monitor competitor activities and market positioning to inform strategic decisions
  • Forecasting: Develop predictive models to anticipate market trends and customer behavior
  • Strategic Recommendations: Translate data findings into actionable recommendations for marketing leadership
  • Testing Strategies: Design A/B tests and multivariate experiments to optimize marketing tactics

Cross-functional Collaboration

  • Stakeholder Management: Work closely with marketing teams, product managers, sales, and executive leadership
  • Data Evangelism: Educate teams on data-driven decision-making and insights interpretation
  • Tool Implementation: Recommend and implement analytics tools and platforms that enhance data capabilities
  • Insights Presentation: Communicate complex findings in clear, compelling ways to non-technical audiences

Essential Skills and Qualifications

Technical Skills

  • Analytics Platforms: Proficiency in Google Analytics, Adobe Analytics, or similar web analytics tools
  • Data Visualization: Expertise in Tableau, Power BI, or Looker for creating compelling visual reports
  • Statistical Analysis: Strong understanding of statistical methods and their application to marketing problems
  • SQL and Databases: Ability to query databases and manipulate large datasets
  • Survey Research Tools: Experience with platforms like Conjointly for conducting market research, conjoint analysis, and understanding customer preferences
  • Marketing Automation: Familiarity with platforms like HubSpot, Marketo, or Salesforce Marketing Cloud
  • Excel/Spreadsheets: Advanced skills in data manipulation and analysis
  • Programming: Knowledge of Python or R is increasingly valuable for advanced analytics

Soft Skills

  • Communication: Ability to translate technical findings into business language
  • Critical Thinking: Strong analytical mindset with attention to detail
  • Business Acumen: Understanding of marketing principles and business strategy
  • Project Management: Capability to manage multiple projects and deadlines simultaneously
  • Storytelling: Skill in crafting narratives around data to drive action
  • Curiosity: Natural inclination to ask questions and dig deeper into data

Typical Career Path

Most Marketing Data and Insights Managers follow a progression through analytics roles:

  1. Entry Level: Marketing Analyst or Data Analyst (1-3 years)
  2. Mid Level: Senior Marketing Analyst or Insights Analyst (3-5 years)
  3. Manager Level: Marketing Data and Insights Manager (5-8 years)
  4. Senior Level: Senior Insights Manager or Director of Marketing Analytics (8+ years)
  5. Executive Level: VP of Marketing Analytics or Chief Marketing Officer

Educational Background

While there’s no single path to this role, common educational backgrounds include:

  • Bachelor’s degree in Marketing, Statistics, Mathematics, Economics, or Business Analytics
  • MBA or Master’s in Marketing Analytics, Data Science, or related fields (often preferred for manager-level positions)
  • Professional certifications in Google Analytics, digital marketing, or data science

Salary Expectations by Market and Seniority

Salary ranges vary significantly based on location, industry, company size, and experience level. Here’s a comprehensive overview:

MarketJunior/AnalystMid-Level ManagerSenior ManagerDirector Level
Singapore (SGD)55,000 - 75,00085,000 - 120,000120,000 - 160,000160,000 - 220,000
United States (USD)60,000 - 85,00095,000 - 135,000130,000 - 180,000175,000 - 250,000
Canada (CAD)55,000 - 75,00080,000 - 115,000110,000 - 150,000145,000 - 200,000
Australia (AUD)65,000 - 90,000100,000 - 140,000135,000 - 180,000175,000 - 240,000
Philippines (PHP)600,000 - 900,0001,200,000 - 1,800,0001,800,000 - 2,500,0002,500,000 - 3,500,000
Thailand (THB)600,000 - 900,0001,200,000 - 1,800,0001,800,000 - 2,400,0002,400,000 - 3,200,000
United Kingdom (GBP)35,000 - 50,00055,000 - 80,00075,000 - 105,000100,000 - 145,000
Germany (EUR)45,000 - 60,00065,000 - 90,00085,000 - 120,000115,000 - 160,000
France (EUR)40,000 - 55,00060,000 - 85,00080,000 - 110,000105,000 - 150,000
Netherlands (EUR)42,000 - 58,00063,000 - 88,00083,000 - 115,000110,000 - 155,000

Note: Salaries are approximate annual figures and can vary based on company size, industry, and individual experience. Tech companies and financial services typically offer higher compensation.

Industry Variations

The role can vary significantly across industries:

  • E-commerce: Heavy focus on customer journey analytics, conversion optimization, and lifetime value modeling
  • Financial Services: Emphasis on regulatory compliance, risk analysis, and customer acquisition cost
  • FMCG/Retail: Strong focus on brand health tracking, market share analysis, and promotional effectiveness
  • Technology/SaaS: Concentration on product analytics, user engagement, and subscription metrics
  • Healthcare: Focus on patient journey analytics, regulatory considerations, and outcome measurement

Day-to-Day Activities

A typical day might include:

  • Morning: Reviewing overnight campaign performance and dashboard metrics
  • Mid-morning: Meeting with marketing teams to discuss upcoming campaign strategy
  • Afternoon: Analyzing customer segmentation data and preparing insights presentation
  • Late afternoon: Collaborating with IT on data integration projects
  • End of day: Reviewing research proposals and planning next week’s priorities

Future Outlook

The demand for Marketing Data and Insights Managers continues to grow as organizations become more data-centric. Key trends shaping the role include:

  • AI and Machine Learning: Increasing integration of predictive analytics and automation
  • Privacy Regulations: Greater emphasis on privacy-compliant data collection and analysis (GDPR, CCPA)
  • Real-time Analytics: Shift toward instant insights and agile decision-making
  • Customer Data Platforms: Growing need for expertise in unified customer data management
  • Attribution Modeling: More sophisticated approaches to understanding marketing contribution

How to Break Into This Role

For Career Changers

  1. Build foundational analytics skills through online courses (Coursera, DataCamp, Google Analytics Academy)
  2. Gain hands-on experience with free tools and personal projects
  3. Obtain relevant certifications in Google Analytics, digital marketing, or data analysis
  4. Network with marketing analytics professionals through LinkedIn and industry events
  5. Consider entry-level positions as a marketing analyst to build experience

For Current Marketers

  1. Upskill in analytics by taking on data-heavy projects in your current role
  2. Learn SQL and data visualization tools to enhance your technical capabilities
  3. Volunteer for cross-functional analytics projects to gain exposure
  4. Pursue relevant certifications to formalize your knowledge
  5. Build a portfolio showcasing your analytical work and insights

Conclusion

The Marketing Data and Insights Manager role is perfect for individuals who love both marketing and data analysis. It offers the opportunity to directly impact business strategy while working at the intersection of creativity and analytics. As companies continue to invest in data-driven marketing, this career path offers strong growth potential, competitive compensation, and the satisfaction of turning data into meaningful business outcomes.

Whether you’re just starting your career or looking to transition into this field, focusing on building both technical analytics skills and marketing business acumen will position you well for success in this dynamic and rewarding role.

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