Marketing Analyst
SOC 13-1161.00 · ESCO 2431 · OSCA 225131
Role snapshot
Overview
A Marketing Analyst is responsible for collecting, analyzing, and interpreting marketing data to identify trends, measure campaign effectiveness, and provide actionable insights. They transform raw data from various sources into clear, data-driven recommendations that optimize marketing strategies, improve customer engagement, and drive business growth. This role digs into campaign performance data, customer segments, and market trends, turning spreadsheets and dashboards into insights that help the marketing team spend smarter.
Drives smarter marketing investments by providing data-backed insights, leading to improved campaign ROI, enhanced customer experiences, and more effective resource allocation across all marketing channels.
On the job
- Analyze marketing campaign performance across various channels (e.g., digital, social, email) to identify trends and areas for optimization.
- Develop and maintain comprehensive dashboards and reports to track key marketing performance indicators (KPIs).
- Conduct in-depth market research and customer segmentation analysis to identify target audiences and inform strategic decisions.
- Forecast marketing trends and predict campaign outcomes using statistical models and historical data.
- Provide data-driven recommendations to marketing teams for optimizing spending, improving campaign effectiveness, and enhancing customer journeys.
Tools & technology
Average salary
Job outlook
GrowingJob growth is expected to be above average over the next five years.
Education & training
Bachelor's degree in marketing, business, statistics, economics, or a related quantitative field. Relevant certifications in analytics tools are often preferred.
AI impact outlook
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detail
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detailWhy this role received this rating
Core task exposure
high
How much of the role’s important work could AI perform?
Analyzing campaign performance, maintaining dashboards, segmentation, and trend forecasting are core tasks that AI can significantly automate.
End-to-end automation
high
Can AI complete the work without substantial human involvement?
While analysis and reporting are highly exposed, the strategic translation of insights into actionable business recommendations and persuasive communication still requires human judgment.
Adoption pressure
high
How likely are employers to introduce AI into this work?
With direct ROI in campaign optimization, employers face extremely high pressure to adopt AI for efficiency and competitive advantage.
Human dependence
moderate
How much does success depend on human judgement, relationships and accountability?
Success hinges on asking the right questions, interpreting data in context, and communicating strategic implications, but raw data processing is less human-dependent.
Protective — a higher rating lowers the overall score.
Role adaptability
strong
How easily can the role evolve as AI takes on more tasks?
The continuous evolution of marketing channels and data sources necessitates a highly adaptable role for marketing analysts.
Shown for context — not part of the score.
What AI may take on
These are the parts of the role most likely to be automated or significantly accelerated.
- Analyze marketing campaign performance across all channels
- Develop and maintain comprehensive dashboards and reports
- Conduct basic customer segmentation and trend identification
- Forecast campaign outcomes and budget allocations
- Identify areas for immediate campaign optimization
- Automate data extraction and cleaning from various sources
Where people remain essential
These parts continue to depend heavily on human judgement, relationships and accountability.
- Translate complex data into clear, strategic recommendations for business growth
- Identify subtle market shifts and their implications for marketing
- Design innovative A/B tests to uncover new insights
- Collaborate effectively with marketing teams to implement data-driven changes
- Present findings persuasively to senior leadership
- Proactively identify unseen opportunities or risks within the data
- Develop robust attribution models and methodologies
How the role may evolve
Beyond reporting: Strategic foresight and deep data interpretation.
The role shifts from primarily reporting on past performance to leveraging AI for automated insights, allowing analysts to focus on predictive modeling, strategic experimentation, and proactive value creation across the marketing organization.
Strengthen your future fit
- Develop strong strategic thinking and business acumen
- Master advanced data visualization and storytelling
- Cultivate cross-functional communication and influence
- Specialize in predictive analytics and machine learning applications
- Enhance ethical data governance and privacy knowledge
- Assessment horizon
- 3–7 years
- Confidence
- High
- Last reviewed
- August 2026
- Methodology
- v1.0
This assessment reflects current AI capabilities and expected adoption patterns. Actual impacts will vary by industry, employer and the way each role is performed.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
Marketing Analyst
Marketing & Brand
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
enterprising · ECI
Individuals who enjoy influencing outcomes, working with data, and systematically solving business problems will find this role engaging. It suits those who are driven to analyze and interpret information to make strategic recommendations.
Personality characteristics
Analytical thinker
Enjoys diving deep into complex datasets to uncover hidden patterns and strategic insights.
Detail-oriented
Ensures accuracy and precision in data collection, analysis, and reporting, vital for reliable insights.
Data storyteller
Can clearly and persuasively communicate complex analytical findings to non-technical stakeholders and influence decisions.
Collaborative
Works effectively with marketing, sales, and product teams to integrate insights and achieve shared goals.
Resilient
Handles large datasets, iterative analysis, and shifting priorities without becoming overwhelmed or discouraged.
Best for
- Individuals who enjoy problem-solving using quantitative methods and logical reasoning.
- Professionals who thrive on transforming raw data into clear, strategic recommendations that drive change.
- Those who like seeing their analytical work directly impact business performance and marketing effectiveness.
Watch out for
- Requires continuous learning of new analytical tools, platforms, and statistical techniques to stay current.
- Can involve tight deadlines and pressure to deliver timely insights for fast-paced marketing campaigns.
- Balancing diverse stakeholder expectations with data availability, quality, and analytical feasibility.
A week in the life
A representative working week for a Marketing Analyst — where the deep work, meetings, and admin actually land.
Real people. Real results.
Thousands of people
can't be wrong.
Frequently asked questions about Marketing Analyst roles
What does a Marketing Analyst do?
A Marketing Analyst a Marketing Analyst is responsible for collecting, analyzing, and interpreting marketing data to identify trends, measure campaign effectiveness, and provide actionable insights. They transform raw data from various sources into clear, data-driven recommendations that optimize marketing strategies, improve customer engagement, and drive business growth. This role digs into campaign performance data, customer segments, and market trends, turning spreadsheets and dashboards into insights that help the marketing team spend smarter. Drives smarter marketing investments by providing data-backed insights, leading to improved campaign ROI, enhanced customer experiences, and more effective resource allocation across all marketing channels.
How much does a Marketing Analyst earn?
A Marketing Analyst earns a median of $75,000 per year in the US, typically ranging from $60,000 to $100,000.
What qualifications do you need to become a Marketing Analyst?
To become a Marketing Analyst, bachelor's degree in marketing, business, statistics, economics, or a related quantitative field. Relevant certifications in analytics tools are often preferred.
What personality suits a Marketing Analyst?
Marketing Analyst roles tend to suit people who are highly conscientious — precise, organised and strong on follow-through (Conscientiousness 75/100) and open and curious — drawn to variety, ideas and new approaches (Openness 72/100). The traits that matter most in the role are Analytical thinker, Detail-oriented, Data storyteller and Collaborative. Enjoys diving deep into complex datasets to uncover hidden patterns and strategic insights. On interests, Marketing Analyst maps to an ECI Holland Code profile — individuals who enjoy influencing outcomes, working with data, and systematically solving business problems will find this role engaging. It suits those who are driven to analyze and interpret information to make strategic recommendations.
Who does a Marketing Analyst role suit?
A Marketing Analyst role is usually a strong fit for these reasons. Strong Enterprising and Conventional affinity: the role rewards driving business impact through structured analysis and data-backed recommendations. A significant portion of the week is dedicated to deep data analysis, reporting, and problem-solving. Opportunity to translate complex data into actionable strategies, directly influencing marketing outcomes and business growth.
What are the downsides of being a Marketing Analyst?
Marketing Analyst roles come with trade-offs worth weighing up. Requires continuous learning of new analytical tools, platforms, and statistical techniques to stay current. Can involve tight deadlines and pressure to deliver timely insights for fast-paced marketing campaigns. Balancing diverse stakeholder expectations with data availability, quality, and analytical feasibility.
What is the work environment like for a Marketing Analyst?
Work as a Marketing Analyst is mostly office-based with hybrid arrangements common, semi-structured — a mix of set processes and self-directed work, a moderate pace and high exposure to clients or stakeholders. Around 78% of the week is focused deep work.
What skills do you need to be a Marketing Analyst?
Core skills for a Marketing Analyst include Data analysis, Marketing analytics, Statistical modeling, Data visualization, SQL querying and A/B testing.
How do you become a Marketing Analyst?
Common entry routes into Marketing Analyst roles include Junior Marketing Analyst, Marketing Coordinator, Business Analyst Intern and Data Entry Specialist.
What career progression is there for a Marketing Analyst?
From a Marketing Analyst role, common next steps include Senior Marketing Analyst and Marketing Manager; lateral moves include Data Scientist and Business Intelligence Analyst.
What is the job outlook for Marketing Analyst roles?
The outlook for Marketing Analyst roles is currently rated growing. Job growth is expected to be above average over the next five years.
Will AI replace Marketing Analyst roles?
Traitstack rates automation risk for Marketing Analyst roles at 77 out of 100, which is strong. Data collection, reporting, and basic optimization will largely automate, enabling marketing analysts to concentrate on deep strategic insights and proactive problem-solving within the marketing funnel. AI is most likely to take on analyze marketing campaign performance across all channels, develop and maintain comprehensive dashboards and reports and conduct basic customer segmentation and trend identification. Translate complex data into clear, strategic recommendations for business growth, identify subtle market shifts and their implications for marketing and design innovative a/b tests to uncover new insights stay with people. Beyond reporting: Strategic foresight and deep data interpretation. That score measures how much of the work could change, not the likelihood the job disappears. It is Traitstack's current view, revisited as AI capability moves.