Big data consultants: How to hire the best ones?

Assessing knowledge and competency in 5 key areas.

Tom Potanski

Reviewed by Rebecca Botvin

Last updated on January 2, 2025 | 17 min read

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Key insights:

• Learn the essential traits to identify top big data consultants.
• Understand how consultants drive business success with data-driven strategies.

The Big data consultant must be a problem solver. Daily, they need to integrate multiple systems or services. The magnitude of this issue is quite substantial; based on a survey conducted by Salesforce in 2023​ it was found that the average number of applications utilized by businesses rose from 843 in 2021 to 1061 in 2023​ representing a 25 percent rise​. However​ 29 percent of these applications are interconnected​ underscoring the function of consultants in establishing unified data environments​. Still, it is impossible to be an expert on every tool when many technologies are on the market. That is why they must have vital analytical skills and the ability to link the facts. Even though they have been working in the industry for several years, they can still run across a problem for the first time. They need to be familiar with many environmental elements to accurately assess the sources of the problem and adjust the solution. Therefore, persistence and flexibility are highly valued among developers.

It is highly essential for The Big Data consultant to be a problem solver. Their role often includes the integration of multiple systems or services, regardless of the availability of a vast number of technologies. Nobody can be an expert in every technology because of how wide its variety is, so relying on strong analytical skills to find resolutions is the key. Despite several years of experience, unfamiliar challenges can occur, which might require one to adapt and assess in a timely manner. Hence, possessing persistence and flexibility can help to navigate complexities.

Before seeking a big data consultant, it’s important to clearly define the problem you want to address, the data you have available, and the outcomes you’re hoping for. This will help you focus your search and clearly communicate your needs. A strong big data consultant should be able to understand your problem, ask questions, and suggest a practical solution.

A well-designed environment is the foundation of big data. Still, the processes related to data management are at its heart, which is why Big data consultants must know how to prepare data models and processing layers – without a good model, data maintenance and adding new data sources can be very painful. The engineer should also know data structures and understand their processing logic to implement a process with the lowest computational complexity. While executing a data processing flow, it is also essential to choose the appropriate technology so as not to complicate the process more than necessary. Beyond technical expertise, Big Data consultants play a crucial role in establishing and maintaining best practices for data governance. This includes creating and implementing policies for data quality, access control, and lifecycle management. For instance, they might set up systems to ensure data accuracy, determine who can access different types of data, and decide how long data should be retained.

A solid environment is the foundation of Big Data, whilst effective management lies at its core. It is noteworthy that being skilled in preparing data models and processing layers is important for Big Data consultants. So without a well-structured model, maintaining new data can undoubtedly be challenging. Moreover, understanding data structures, choosing the right technology is simply crucial for not only an effective workflow, but it also makes sure that the execution is cleared off of unnecessary complications.

Nowadays, great importance is attached to securing the data – it can be implemented on several levels. One of them is to ensure communication between the services themselves, for example, by configuring the SSL (Secure Sockets Layer). The Secure Sockets Layer (SSL) (precursor of (TLS) Transport Layer Security) is a significant security protocol. SSL encrypts and protects information to ensure the safe transmission of data between the user and the web server, therefore, the knowledge of SSL is a crucial asset for a valuable employee. Also, the engineer should know how to encrypt the disks using KMS (Key Management Service) tools and manage access to sensitive data. It can be regulated through access policies and tagging mechanisms. This knowledge is essential for the protection of the environment.

The Banking, Financial Services, and Insurance (BFSI) sector is one where data security is essential due to the sensitive information they handle daily, such as customers’ personal information, market data, and financial transactions. According to a Federal Trade Commission report, credit card fraud is considered the most prevalent form of identity theft. During the first three quarters of 2023, the number of reports filed with the FTC reached approximately 805000. Big Data consultancy is the best solution for the BFSI industry to control thefts and reduce losses. The importance of using Machine Learning, Artificial Intelligence, and Big Data for improving customer experience and detecting system weaknesses has been emphasized by the Association of Certified Fraud Examiners (ACFE). This indicates that the BFSI sector will soon look towards adopting big data consultancy. (industryARC)

The Big Data area is constantly developing. Hence, the demand for big data consultancy will most likely increase, which is driven by the challenges of advanced technologies. New technologies and solutions appear now and then, so the engineer should regularly learn and monitor trends. Extensive knowledge of available technologies will allow for a more precise selection of tools to achieve business goals.

Consequently, hiring the right person as data consultant cannot be only about technical skills, it also requires analytical thinking, creativity and adjustability. Hire someone who has skills and who is passionate about the job itself. Who is always developing as the industry rises. When you find the right person as a big data consultant you will unlock your potential and then you’ll achieve your goals.

The significance of having security protocols should not be underestimated. A prime example illustrating the repercussions of inadequate security is the Equifax data breach in 2017 that impacted 147 million individuals. Big Data consultants tackle this issue head-on by putting in place layered security plans that involve thorough data encryption for stored and transmitted information alike; frequent security audits and vulnerability checks; as well as ongoing monitoring, with alert systems to flag any suspicious activities promptly. This approach enables organizations to make the most of their data resources while upholding top-notch security practices and meeting compliance requirements to a tee.

The Big Data area is constantly developing. New technologies and solutions appear now and then, so the engineer should regularly learn and monitor trends. Big Data technologies can be divided into four categories: data storage, data mining, data analytics, and data visualization; Each has specialized tools. Therefore, these solutions and tools are selected based on specific business requirements that determine the type of data analysis and management that will further be integrated for data management. Extensive knowledge of available technologies will allow for a more precise selection of tools to achieve business goals.

With the advance of technologies, Big Data is constantly evolving, therefore the consultants need to stay up-to-date with industry trends to further enhance their knowledge.

Key things to look for when hiring a big data consultant

Big data has been around for quite some time, but many organizations have yet to fully understand the opportunities it presents, more so when it comes to making the most of this ever-evolving field. This lack of understanding can lead to missed opportunities, so we should raise awareness, spread information, we should let everyone know how a data consultant works and what benefits it can bring. As the technology market grows, Big Data Consultancy may even be the profession of the future. According to studies, big data consultants can improve the companies productivity up to 6%, which is really high number as we are talking about the statistics.

The Big Data Consulting market size is forecasted to reach approximately 36.8 million USD by 2030, growing at a CAGR of 13.9% during the forecast period of 2024-2030. Continuous technological advancements, with a focus on innovative solutions such as AI and ML, are influencing the Big Data Consulting market, driving the demand for expert consulting services. Current Big Data trends mainly emphasize better governance and improved information quality, underscoring the necessity of having precise and reliable data for decision-making.

As IoT devices and online services become more advanced and user-friendly, more data is generated and collected. Based on statistical data and analytical research, Statista proposed that the number of loT devices will rise to 29.4 billion in 2030, while IDC estimated a greater number reaching 55.7 billion in 2025, thus, creating an enormous amount of data that should be processed in an more advanced and innovative manner. However, making sense of this information can be a challenge for most businesses.

The complexity of big data has pushed companies to look for highly skilled big data consultants, engineers, and other experts. Not all of these organizations, however, know what to look for in the applicants. More than credentials on paper, experience, and skills are more important when hiring a big data consultant, be it with one professional or a consultancy company. When evaluating experience, consider the diversity of projects the consultant has handled. A consultant who has worked across various industries, such as finance, healthcare, and retail, can bring a wealth of knowledge and a broader perspective. This diversity can be particularly beneficial when tackling unique challenges that require a cross-industry approach.

Big Data has been around for years, yet organizations are figuring out ways to harness the opportunities it offers. As IT devices and online services advance, a large amount of data is generated. Nevertheless, the real challenge is not just about the collection of information, but the making sense of it to improve operations, and so forth.

When hiring a big data consultant, it’s essential to find someone with the appropriate qualifications, experience, and a portfolio suited to your project.

Here are some key things to look for when hiring a big data consultant:

They’re problem solvers

Consultancy work in any field is mainly about problem-solving. This is even more important in big data and analytics, as roadblocks and challenges appear regularly. One of the regular tasks of a big data consultant is to integrate multiple systems or services and constantly monitor these for possible improvements.

However, no one can be an expert in all the tools of the trade, especially since new technologies and systems emerge regularly. Therefore, the IT professional you are looking to hire should have strong analytical and logical skills. Even if they have been working in the IT industry for a couple of decades, there is always the chance to come across a problem for the first time. They need to be familiar with the complex landscape of IT and data analytics and stay on top of the current and emerging trends.

Effective problem solving often involves collaboration with various stakeholders, including technical teams, business leaders, and end users. Problem solvers communicate their insights and solutions clearly, ensuring that everyone involved understands the approach.

They see the bigger picture

Big data comes in packets of incalculable size from countless sources. A first-rate big data consultant can design strategies and systems to efficiently collect, store, analyze, and visualize these packets of information for your different project needs. More than simply recommending how to leverage the data, the consultant should also lead a team and a project while completing tasks within the set budget and deadlines. They should see the bigger picture of how the analyses they have can be used not only for one department or project but across the whole organization.

In addition, to having skills and knowledge in their field of expertise a consultant needs to display leadership by overseeing teams with diverse roles and ensuring that the IT objectives are in harmony with the business objectives. An essential quality they possess is the capability to explain ideas in simple business terms enabling smooth communication with stakeholders from various levels. This ability is crucial for linking data projects with business objectives ensuring that data driven discoveries play a role, in driving organizational achievements and creative advancements.

The consultant should ideally oversee teams and projects and ensure that the projects are finished on time and under budget in addition to offering a piece of advice on how the data usage must be done. Their attention should be shifted towards how their analysis can add something valuable to the organization as a whole rather than on individual projects.

Consultants who see the bigger picture understand how data solutions can contribute to long-term goals, such as increasing revenue, enhancing customer satisfaction, etc. They can see how data-driven decisions will impact the entire organization, not just separate departments.

They are creative and quick on their feet

Creativity here is in the sense of coming up with solutions and recommendations. According to the results of the analysis, industries with higher Award Creativity Score (ACS) tend to demonstrate greater than average revenues (4). A creative team plays a crucial role in developing new strategies to solve a wide range of tasks and incorporate knowledge to create innovative approaches. An exceptional big data consultant should develop accurate data sets using the latest technologies and intelligent algorithms, so another aspect to consider is the consultant’s ability to adapt to changing project requirements. In the dynamic field of big data, project scopes can shift rapidly, necessitating quick adjustments. They should also be up-to-date with the trends, the industry, client competition, and new strategies.

The consultant’s work will involve querying data, performing analyses, and presenting findings and recommendations concisely and comprehensively. This should include interpreting data for specific projects and industries, and if needed, coming up with innovative proposals. For example, if a new data source is introduced mid-project, the consultant should be able to integrate it seamlessly into the existing workflow. This adaptability ensures that the project stays on track, even when unexpected changes occur.

A big data consultant who is creative brings a unique advantage. Creativity goes beyond simply applying standard data processing techniques; it involves thinking outside the box to solve complex problems and uncover insights that might not be immediately apparent. Creative consultants approach data challenges with an open mind, exploring new methods and tools. They are not restricted by traditional frameworks and can design innovative solutions tailored to specific business needs. This might include using attractive data visualization techniques to catch the eye. Creativity allows consultants to design solutions that are also user-friendly. They can develop intuitive dashboards and tools that simplify data interaction, making it easier for users to derive insights and make decisions.

They have advanced technical know-how

Big data analytics relies on tons of information from various sources. The consultant you are looking to hire should have sufficient (if not top-notch) technical knowledge, and they need to have solid programming skills, both the foundational languages and scripts and the emerging ones. It is also a good thing to be familiar with text mining, clustering analysis, recommendations, predictive analytics, and other similar disciplines. The solutions they will recommend or help implement will also likely be delivered on-site or in the cloud, so they should have a solid understanding of cloud-computing services, such as Amazon Web Services, Microsoft Azure, Salesforce, IBM Cloud, Oracle, and other popular providers.

Big Data analytics employs data from numerous sources. The chosen consultant should have a strong background in technology, including proficiency with new programming languages like Python and SQL. Another vital aspect is having knowledge of methods such as text mining and predictive analytics. This expertise guarantees that they can suggest and practice effective solutions.

They should know how to communicate properly

As with any leadership or consultancy position, communication is critical. Even if you have the right ideas and solutions, it will not be as effective if you cannot communicate them correctly to the team efficiently and timely. Generally speaking. Emotional Intelligence (EQ), which is significantly associated with communication skills, is just as valuable as IQ when hiring the most suitable candidates for any position. The information from 2023 predicts that EQ will be one of the top 10 most valuable skills in the workplace by 2025, while also proposing that the requirement for this essential asset will most likely rise to 26% by 2030.

Data Consultant should know how to talk to different people, people with an without the tech knowledge, They should know maybe a little psychological aspects too, just to understand others better.

Effective communication plays a role in the success of Big Data projects as consultants tailor their language to suit audiences needs; they delve into technical details such, as complex data structures and algorithms when engaging with IT teams; whereas for executives they simplify concepts into business language to highlight tangible benefits and strategic value propositions.

Consulting for and managing a project involves constant communication with several people. Clear communication can prevent misunderstandings and ensure that the project progresses smoothly. The big data consultant you are looking to hire should have no qualms in carrying this out.

Big data consultants often work with complex algorithms, data structures, and technologies. Effective communication involves breaking down this technical content into simple, understandable terms for stakeholders or clients who may not have a technical background. This ensures that everyone involved can receive the key insights.

Good communication involves active listening to understand the specific needs, goals, and pain points of stakeholders. By engaging with stakeholders effectively, a consultant can offer data solutions to address their challenges and objectives.

Passion for work

You need to find someone who is in love with what they do. A person who is interested in this field. Otherwise, it will be difficult for any person to do such a difficult and responsible job.

This is the moment when only knowledge and education, skills are not enough. Here you need determination, interest and love for work.

Important to note

One important thing to note here is that they do not need to be an expert in ALL of these aspects. As a consultant, they will likely have access to a team of professionals. As a team leader or one of the decision-makers, they should tap into and make good use of the people and resources available.

By focusing on these attributes, you can identify a big data consultant who not only has the technical expertise but also the communication skills, and adaptability to drive data-driven success for your organization.

We understand that it is pretty challenging to find someone with this background. The combination of soft and hard skills is endless, so it’s hard to find someone who is that handy, but when you find that person, you’ll know your organization is starting to move in the right direction.

Things to consider from your side

Finding the right consultant or consultancy firm for your significant data needs is a two-way street. Before you hire a professional, you should have a well-thought-out goal and mission. You need to know your organization’s landscape. You need to know why you hire this person and what you offer to welcome this person. As a company, you also must do preparations and due diligence to ensure your human resources align with your project and business goals. This means that you should investigate several factors from your company’s side before hiring a consultant. Here are some of them:

The complexity of your data

The data your company collects comes from various channels and sources. As such, you need to have at least a basic understanding of the data sources, the complexity of these packets, and what challenges they may pose. This will help you determine what kind of analyst/consultant you need, or what expertise or experience you should be looking for.

For example, a company dealing with structured data from CRM systems will have different needs than one managing unstructured data from social media. Understanding the nature of your data will guide you in choosing the right consultant. A consultant experienced in handling unstructured data, for instance, might be more adept at extracting meaningful insights from social media trends, which could be crucial for a company’s marketing strategy. Additionally, understanding the volume of data you’re working with can help determine whether you need a consultant who specializes in big data or someone more focused on data management and analysis.

The company gathers data from a variety of sources, each with its complexities. Gaining fundamental understanding of distinctions between different sources of data can help you recognize difficulties.

The gap in your current operations

Your organization is likely already doing some data analysis work. The next step should be identifying the gap in your current operations and improving the existing IT architecture and processes. Before hiring a big data consultant, assess your current operations and find out what areas need improvement. Use the results of that analysis to narrow in on specific candidates. Moreover, this will ensure the proper allocation of the team in specific specializations within the data analysis sector and decrease the risks of unnecessary wage costs from the company.

The resources needed for the entire project

Big data consultants, especially the reliable ones, may often come with a not-so-low price tag — but they often prove they are worth it (if not more). Consider that costs could run high for recurring issues and services, complex data management needs, and even long-term projects. Be sure you partner only with a trustworthy consultant or consultancy firm by researching their reputation, previous clients, and success stories. This should give you an idea of how they manage the clients and their resources.

Of course, there are also other significant considerations such as data security and privacy, expectations management, flexibility and scalability of their offered services, and other things to keep in mind when hiring a big data consultant.

Final word

The need and popularity of big data, data science, and analytics, and the professionals that work in these fields will continue to grow, especially in our current IT-driven world. To ensure that your search for the best Big data consultant is as stress-free as possible, it’s important to have a clear project goal in mind and a deep understanding of the specific expertise your company needs to achieve its predetermined goals. The right Big data consultant can help you unlock the potential of your data, drive innovation, and gain a competitive edge in your industry. Take the time to find the right fit, and you’ll be well on your way to becoming a truly data-driven organization, capable of making informed decisions and staying ahead in a rapidly changing market. The investment in the right expertise will pay off as your business harnesses the full power of big data to fuel future growth and success.

Whether it’s data integration, or analytics, knowing the exact requirements of the company will expedite the hiring procedure and guarantee a promising end goal.

In fact, according to IDC, global spending on Big Data and business analytics solutions is expected to reach $274.3 billion by 2027, reflecting the critical role that data-driven decision-making will play in the future of businesses across all sectors here
Consequently, as we see, demand continues to rise for big data, companies must prioritize to find the right big data consultant to understand the complex situation around.

Read more big data articles here.