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Data analyst: the key to online business success

Boost6 min read
analítica digitaldatosdata-drivenkpismarketing digital

We live in the digital age, where there are more and more media, channels, and platforms through which all the information that ends up on our screens is managed and transmitted. As you can imagine, for that information to be accurate, generate interest, and offer credibility, the expertise and skills of figures like the data analyst are needed — a professional also known as a Data Analyst, whose work is decisive when it comes to collecting and processing all kinds of information that can be useful for an online business.

In this article we will look at their responsibilities, skills, and key areas of action to ensure that the results of their work are reflected in marketing strategies and business decisions, making it possible to increase value, market interest, and competitiveness. Today, for any digital business, this professional is one of the most valuable figures when it comes to improving aspects such as conversion, online reputation, and content optimization for their clients.

The role of the digital Data Analyst

The digital data analyst is the person responsible for studying, selecting, and processing the right information to then help companies with their marketing, sales, or content strategies. The results of their work allow us to make informed decisions in order to offer a higher-quality, interesting, useful service or content, focused on strengthening key areas such as conversion and competitiveness.

Although their skills and scope of action cover many areas and aspects, you will discover some of the main functions they perform according to the needs of the company, the sector in which it operates, and the goals it wants to achieve. In this way, we will see in more detail exactly what they do, their advantages, and what their most direct responsibilities are in terms of the information they process.

Work focused on obtaining data

Applying a thorough process of studying and selecting the information they consider relevant, the data analyst locates the different useful sources to extract all the data they determine to be relevant, pulling out those that can answer the company's needs and facilitate the achievement of its goals. To do this, before drawing up reports and reaching conclusions, they focus on key points such as:

  • Company objectives. The analyst must first know what the company wants to achieve with its actions, what its goal is, and how it wants to reach it. Based on the answer, they will draw up a study plan always based on data that fits the company's needs.

  • Available resources and means. From the budget to the channels through which promotional campaigns are intended to be carried out. Every piece of data is useful in allowing this professional to understand where they stand and what opportunities they can capture by working with the information obtained.

  • Market interest in the product/service. The need to understand the product and the audience potentially interested in it will allow the general and essential lines to be drawn up before focusing on locating and working on all the strengths and weaknesses of the brand.

  • Traffic and brand relevance. Another key aspect: beyond knowing the interest and potential viability of the product they will work on, the analyst will also need to extract information related to the traffic it receives, navigability, and the degree of acceptance the company has within the market.

In this case, the analyst uses and relies on resources such as measurement software, web tracking and analytics tools like Google Analytics, utilities that make it possible to measure dozens of key points to understand the state of the business, trends, relevance, and draw conclusions about the traffic it receives. Departments such as marketing or sales are the main beneficiaries of the data processing that the analyst provides in this field.

The analyst turns data into opportunities

The data analyst's task is not limited to extracting information from different sources; they also apply their knowledge in actions such as filtering and structuring that useful information for their clients and exposing it to be leveraged. Their work makes it possible to eliminate any errors or duplicates in the data, preventing mistakes when interpreting them and thus turning them into opportunities.

In this sense, their work facilitates obtaining already processed and organized information, where all the raw data has been previously analyzed and refined for better comprehension. For a business, this is very useful when seeking to improve competitiveness, detect sales opportunities, or even implement a professional, approachable, and efficient customer service policy thanks to proper information management. In fact, and as a point of interest, only 20% of companies have an effective data strategy.

After analyzing user behavior on a business's page, the analyst can detect potential distractions that prevent a sale from being completed, identify the reasons preventing customer retention, or even propose new courses of action to increase traffic or user satisfaction levels. Their conclusions can lead to improvements across areas both broad and specific.

The data analyst is key to the modern online business

Now that we understand their main areas of action a little better, you will appreciate why their presence is more than necessary for any company that wants to be a reference in the digital space. The analyst is not limited to observing and processing information; they also possess the skills to detect patterns and opportunities that allow the company to make decisions in different areas.

  • Data visualization. Using tools such as Power BI, the analyst can create conclusions and interactive visualizations that help the company better understand the market, the competition, trends, or even the behavior of the visits it receives.

  • Collaboration with other client teams. Their conclusions allow sales, Business Intelligence, commercial, marketing, or even development departments to work together to implement new data-driven strategies. Knowing the customer and their needs makes it possible to offer a much more interesting and differentiated quality product or service.

  • Improves conversion. Their work makes it possible to provide detailed insights and recommendations that can generate new conversion opportunities, repair weaknesses in the sales funnel, retain visits, and reduce important factors such as the dreaded abandonment rate.

As you can see, the data analyst — often integrated within conversion-specialized consultancies — has become a figure as interesting as it is necessary for any online business, as their work makes it possible to turn weaknesses into strengths. Unlike other approaches, they use raw data to compile analyses, comparisons, and statistics that make it possible to detect anomalies, locating any opportunity the company can leverage to maximize its revenue.

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