If you are thinking about expanding your team and want to know How much does it cost to hire a full-time data analyst?, you've come to the right place. In this content, we'll talk about the costs involved and where to find the professional to work for the benefit of your company!
How much does it cost to hire a full-time data analyst?
The cost of hiring a data specialist varies greatly, depending on a number of factors.
First, the contractor demand and project complexity directly influence the value. After all, more detailed and technical work requires a professional with more expertise — which can increase costs.
Furthermore, hiring modality also impacts. If admission is under the Consolidation of Labor Laws (CLT), the amount will be higher due to charges.
When providing services by a legal entity (PJ), the prices may be more flexible. However, the expert may charge a higher price to compensate for the lack of employment benefits.
O number of hours contracted also needs to be included in the calculation. Therefore, the greater the workload, the greater the expense with the data analyst.
A seniority is another factor that influences your hiring. After all, a professional with more experience tends to charge a higher price than a junior one.
Finally, other variables such as the location of the job, the need for specific tools and the level of customization required also impact the price.
In general, the average salary of a full-time professional is around R$6.667, according to GlassDoor, and it depends on factors like these.
But, as we said, the value can change. To know exactly how much does it cost to hire a full-time data analyst, request a quote now with CROWD.
Main deliverables of the full-time data analyst
The person who works in this sector works on interpretation and analysis, aiming to transform information into insights. Therefore, they deal with large volumes of data, being able to carry out complex studies and help in the company's strategic decision-making.
Below, you will learn about this expert's main deliveries!
1. Analysis of large volumes of data
The full-time data analyst is responsible for collect, organize and analyze large volumes of data from a variety of sources. This includes financial transactions, customer data, and operational records.
It uses tools like Python, SQL, and other platforms to “clean” and transform this data into useful information for the organization.
Therefore, this specialist has the ability to identify patterns and trends that are very important for improving organizational performance.
The interpretation of complex data can help the company make strategic decisions, optimizing processes and identifying market opportunities.
2. Creating dashboards and reports
The mid-level professional creates interactive dashboards and visual reports that help teams understand complex data more easily.
Using tools like Power BI or Tableau, it transforms “raw” information into clear visualizations — such as graphs and charts. This makes it easier for other employees to monitor the progress of metrics and key performance indicators (KPIs) in real time.
Furthermore, the analyst ensures that these tools are customized according to the needs of each team or department, optimizing the company's information management.
3. Predictive analytics
Another very relevant delivery of this specialist is predictive analysis. That is, he uses statistical models and machine learning (ML) algorithms to predict future events — such as sales trends, customer behavior or market fluctuations.
The analysis is based on historical data and allows the organization to anticipate potential problems or seize opportunities before the competition. For example, by predicting the demand for a product, the analyst helps to adjust inventories, improve logistics and maximize profits.
Therefore, preventive analysis is essential for companies seeking to be more competitive and innovative in the market.
4. Process optimization
The full data analyst is also qualified to analyze operational data and identify areas where efficiency can be improved, costs reduced and waste eliminated.
Using process analysis and bottleneck identification techniques, the specialist proposes data-based solutions — such as changes in workflows and adjustments in resources.
Therefore, this delivery is of great importance for organizations that want to reduce waste and increase their productivity.
5. Defining metrics and KPIs
The full-time data analyst also defines which metrics and KPIs should be monitored to assess the company's performance.
For this, he analyzes the strategic objectives of the business and translates these goals into measurable indicators — such as conversion rate, cost per customer acquisition (CAC), or return on investment (ROI).
With these metrics in hand, teams can track the effectiveness of strategies and make informed decisions.
Therefore, definition is essential for the organization, as it ensures that everyone is aligned with the same objectives and guided by accurate data. As a result, the chances of successfully achieving goals are increased.
6. Real-time performance monitoring
Another very useful delivery from the data specialist is related to the constant monitoring of operational, financial and marketing data. In this way, he helps to ensure that the company is always aligned with its objectives.
Such surveillance enables the organization makes quick and effective adjustments when necessary — such as redirecting marketing campaigns that are not performing well, for example.
Additionally, the analyst identifies potential problems before they become critical, avoiding losses and seizing opportunities to improve trading performance.
7. Collaboration with other teams
Finally, the full-time professional also contributes to different teams, such as marketing, finance and technology. Their expertise is essential for the providing data-driven insights and recommendations that help these teams make more assertive and well-founded decisions.
For example, when working in marketing, the analyst may suggest changes to campaigns based on customer behaviors identified by data.
Therefore, your collaborative performance is very important so that the company's strategies are well-directed and, therefore, assertive.
Best Practices for Hiring a Great Data Analyst
To ensure the right choice, it is important to consider a few factors — ranging from understanding the demand to integrating the professional into the team. Here are some best practices for finding and hiring an excellent data analyst!
- understand the business demands: analyze the organization’s needs before even looking for a specialist on the market;
- define the professional's level of experience: determine the desired skills of the future employee, understanding whether the full range will be sufficient for the organizational demands;
- form a team so as not to overload the specialist: distribute responsibilities and assignments among other company employees;
- choose the appropriate type of contract: understand whether CLT or PJ is best for the business, depending on the job profile and compliance needs;
- prepare an onboarding: offer good integration for the new employee, facilitating the alignment of the hire with the organization's needs.
Practices like these facilitate successful hiring and help professionals adapt more easily to the business routine.
Where to request a quote for a full-time data analyst
Finding a specialist with the right qualifications can be a real challenge for companies.
After all, the shortage of properly trained people with the necessary experience to deal with large volumes of data makes hiring complex.
Furthermore, it is essential that candidates are evaluated using clear criteria and that the sources used for recruitment are secure and reliable.
It is in this scenario that CROWD stands out.
We are a platform with more than 30 thousand talents marketing and technology with diverse expertise.
This way, you will have access to full-time data analysts who are ready to meet your needs, with flexibility and security.
We facilitate the hiring process by offering fast service. So, you will be served in less than 24 hours and your business demands will be studied by our team.
In addition, our system has Artificial Intelligence to speed up and give precision to this process.
With CROWD, you find highly qualified professionals, optimize hiring time and ensure faster and more effective results.
So, if you are looking for customized solutions for your company, request a quote now and find out how we can help make your project a success.
