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The Modern Marketing Analyst: 7 Must-Have Skills for Success

Today’s analysts have to be tech-savvy, understand data science, and be able to use complex tools. But that’s not all. The transformation in marketing over the last 20 years has ushered in a new period where decisions are as much about numbers as they are about creative ideas.

Companies want marketing analysts who can do more than just look at numbers. Instead, they need experts who can understand the data, explain what it means, and help the company do better against their competitors.

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If you want to become a marketing analyst or find a new job at a leading company, this article will help you. We’ll discuss the primary skills you’ll need as a marketing analyst and what companies expect from you in 2023.

Note: This article was originally published in October 2023 and updated in February 2025 to provide the latest insights on the essential skills for marketing analysts, including market research, strategy development, and communication, to help professionals excel in their roles and drive business growth.

What Is the Role of Marketing Analysts?

By 2029, the U.S. expects an 18% rise in jobs for market research analysts. Companies are looking for experts good at understanding large amounts of data, especially those who are skilled in marketing analytics, predicting future trends, understanding customers, and analyzing content.

A typical marketing analyst job description includes responsibilities such as data analysis, market research, and developing marketing strategies.

So, what roles do companies expect marketing analytics to have?

Analysts should be able to dig into large sets of data to spot trends and research market conditions to see chances for growing products or introducing new ones. Using what they learn through marketing analytics, they assist in forming company marketing plans. They also keep an eye on how marketing efforts perform and recommend improvements if required. Finally, they share their discoveries in easy-to-grasp ways, making complicated data clear and useful.

Role and Responsibilities

As a marketing analyst, your primary role is to analyze data to provide key insights to a company about which products or services to sell, to what audience, and at what price. Your responsibilities include:

  • Conducting Market Research: Understanding customer needs and wants is crucial. This involves gathering data through surveys, focus groups, and analyzing social media trends to get a clear picture of the market landscape.
  • Analyzing Data: Identifying patterns and trends within large datasets is a core part of the job. This helps in making informed decisions about business strategies and product development.
  • Developing Marketing Strategies: Based on your insights, you’ll create strategies that align with the company’s goals. This could involve targeting new customer segments, optimizing pricing strategies, or improving product features.
  • Communicating Results: It’s essential to present your findings in a way that is understandable to marketing managers and leadership teams. This often involves creating detailed reports and visualizations that highlight key insights.
  • Identifying Opportunities for Growth: By continuously monitoring market trends and customer behavior, you’ll be able to spot opportunities for the company to expand its market share or improve its offerings.

7 Must-Have Skills For Marketing Analysts In 2025

Data analysts need a mix of technical skills and a sharp eye. They should know programming and be good with numbers and stats. The marketing analyst job outlook is promising, highlighting the increasing demand for data-driven analysis in businesses. Let’s look at the key skills that data analysts should have:

Skill #1: Advanced Data Analytics

Being good at advanced data analysis is key for a marketing analyst's role in interpreting data and providing actionable insights for marketing analytics.

You’ll often work with the following data:

Different data types to drive insights and support decision-making.

For now, there are 3 main advanced data analysis skills that stand out:

Data Analysis

Data analysis is the process of extracting, transforming, and interpreting information to discover noteworthy numbers, suggest conclusions, and support decision-making.

Most popular tools include Excel for basic tasks, while more advanced functions might need R, Python, SPSS, and SAS.

Read our latest case study to see how advanced data analysis made a difference

Data Normalization

Data normalization is organizing data to reduce redundancy and improve data integrity. It involves restructuring the data into tables (like in databases) to ensure that their relationships are correctly set, and any anomalies are removed.

For example, consider a company selling products in two markets using different currencies: dollars and euros. A normalization tool would standardize all sales data by converting it to a single currency, based on the exchange rate for that day.

An example showing what difference data normalization brings in reporting. i-shadow

There are several tools that can assist with the data normalization process. Some popular ones include OWOX BI, dbt, scheduled queries, etc.

Data Visualization

Data visualization is turning data into easy-to-understand pictures or graphs. This way, people can quickly get the main idea or spot trends without digging through lots of numbers.

Popular tools for data visualization include OWOX BI, Looker Studio (formerly Google Data Studio), Google Sheets, Tableau, Power BI or D3.js for more custom visualizations.

Data-Driven Decision Making

In the realm of marketing, data-driven decision making is paramount. As a marketing analyst, you will be responsible for:

  • Analyzing Data: Your day-to-day tasks will involve sifting through data to identify trends and patterns. This could include customer purchasing behavior, website traffic, and social media engagement.
  • Developing Predictive Models: Using historical data, you’ll create models that forecast future trends. This helps in anticipating market shifts and preparing proactive strategies.
  • Evaluating Marketing Campaigns: By analyzing the performance of past campaigns, you can determine what worked and what didn’t. This insight is crucial for refining future marketing efforts.
  • Making Recommendations: Based on your data analysis, you’ll provide actionable recommendations for future business efforts. This could involve reallocating budget to more effective channels or tweaking campaign messaging to better resonate with the target audience.

Skill #2: Attribution Modeling

Every marketer dreams of knowing the exact path a customer takes before making a purchase.

  • Which ad did they click on?
  • Did a blog post influence them?
  • What role did that email newsletter play?

Attribution modeling is the answer to these questions. It breaks down the journey, highlighting key touchpoints that nudge a customer closer to a sale. For instance, you could have found that while social media ads introduced your brand to new customers, it was the email campaigns that usually sealed the deal. With this insight, you could allocate your budget more effectively.

Skill #3: Forecasting Success

By studying historical data, a data analyst can anticipate what's coming next, allowing businesses to prepare and make proactive decisions. The accuracy of forecasts depends on the quality of the past data. This might include sales data, website traffic, customer behavior, and market trends.

Analysts use various predictive modeling methods (linear regression or time series analysis) to make informed predictions about future events based on past data.

For proper forecasting, data analysts use Excel, Python, R, Tableau, and IBM SPSS.

Skill #4: Project Management

A data analyst should be able to juggle various tasks. According to a survey by PMI, 77% of high-performing projects use project management tools.

Marketing analyst jobs often require strong project management skills to handle multiple campaigns and tasks efficiently.

Data analysts can lead teams that work on several campaigns. With project management techniques, they stay on track and identify overlapping tasks, saving both time and resources. So, while crunching numbers is vital, a data analyst’s ability to manage tasks, teams, and timelines is equally critical.

Skill #5: Market Research

A data analyst uses online surveys, analyzes social media sentiments, studies online behavior, and leverages big data to predict where the market is heading, see what customers like, and decide what to do next. Leveraging insights from sources like Market Strategies International can provide a comprehensive understanding of global market trends and consumer behavior. Key tools to help in this process include SurveyMonkey, Google Trends, and SEMrush.

Understanding Marketing Principles

To excel as a marketing analyst, a strong grasp of marketing principles is essential. This includes:

  • Promoting Products or Services: Understanding the best ways to highlight the benefits of a product or service to potential customers.
  • Choosing the Right Channels: Knowing which platforms and channels are most effective for reaching your target audience, whether it’s social media, email marketing, or traditional advertising.
  • Running Effective Campaigns: Being able to design and execute marketing campaigns that capture attention and drive conversions.
  • Segmenting Audiences: Dividing the market into distinct groups based on demographics, behavior, or other criteria, and tailoring marketing efforts to each segment for maximum impact.

Skill #6: Handling Marketing Technologies (MARTECH)

MARTECH, short for Marketing Technologies, refers to all the digital tools and platforms used by marketers to streamline, automate, and analyze their marketing tasks and data.

A senior marketing analyst often needs to master various marketing technologies to lead teams and drive strategic initiatives.

It is basically the techy side of marketing that includes tools that help businesses engage with customers, track results, and boost their marketing activities. For instance, an email marketing platform like Mailchimp is a piece of MARTECH. It helps send emails, track who opened them, and see if they led to sales.

Another example is RFM Analysis (Recency, Frequency, Monetary) – a technique that segments customers based on their purchasing behavior. By integrating RFM Analysis with MARTECH, analysts can determine which customers are most valuable, allowing targeted marketing campaigns and better allocation of resources.

Skill #7: Soft Skills

Essential soft skills for analysts to complement technical expertise.

Soft skills play an important role for a data analyst, as they complement their technical expertise. Here’s why:

Customer Service

Marketing analysts tend to interact with stakeholders, teams, or even end customers to understand requirements, explain insights, or gather feedback. Good customer service skills ensure that they can easily communicate, address concerns, and build rapport.

Problem-Solving

Data rarely presents itself neatly. Analysts discover missing data, anomalies, or conflicting information. A knack for problem-solving helps them navigate these issues and find solutions.

Strong problem-solving skills can significantly impact a marketing analyst salary, as they are highly valued in the industry.

Critical Thinking

While tools and software can process data, human judgment is vital for interpreting results. Critical thinking helps analysts read patterns, question assumptions, and draw logical conclusions.

Marketing analyst jobs often require strong critical thinking skills to draw logical conclusions from complex data sets.

Strategic Skills for Marketing Analysts

To be a successful marketing analyst, you need to possess a range of strategic skills, including:

  • Data Analysis and Interpretation: The ability to analyze complex datasets and draw meaningful conclusions.
  • Market Research and Analysis: Conducting thorough research to understand market trends and customer preferences.
  • Strategy Development: Creating effective strategies based on data insights.
  • Project Management: Managing multiple projects and campaigns simultaneously, ensuring they are completed on time and within budget.
  • Communication and Storytelling: Effectively communicating data insights to stakeholders.
  • Data Visualization and Reporting: Creating clear and compelling visualizations and reports.
  • Predictive Modeling and Forecasting: Using historical data to predict future trends.
  • Attribution Modeling and Analysis: Understanding the customer journey and identifying key touchpoints that drive conversions.

These skills will enable you to analyze data, develop marketing strategies, and communicate insights to stakeholders, ultimately driving business results and growth.

How OWOX BI Helps Get The Best Out Of A Marketing Analyst

OWOX BI is a marketing tool that helps analysts work more efficiently. Here’s what it offers:

Data Collection: It pulls data from different sources together, so analysts don’t have to do it manually. This saves time and allows for quicker insights.

Forecasting: OWOX BI has features that predict market changes, helping businesses stay ahead.

Reports: The tool can create specific reports, helping analysts understand customer actions better. This way, marketing plans can be more precise.

Integration: OWOX BI works well with other platforms, making sure all data is easily accessible in one spot.

In short, OWOX BI gives marketing analysts the tools they need to be more than just data experts; they become vital strategy developers for businesses.

FAQ

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