Hire best-in-class Analytics consultants & experts

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Analytics specialists to projects that need execution, now.

Ready in 48 hours.

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What do Analytics consultants do?

With the increasing number of data sources and growing complexity of data, companies are increasingly turning to analytics to extract value. This type of analysis provides valuable insight into customer behavior, relationships with competitors, and various other key indicators. It is also an important aspect in making company decisions that can affect revenues and inventory. It is essentially breaking down numbers and getting insights from them. All too often people think that this is a task for statisticians, but it doesn’t need to be. By using tools like Excel or Tableau to get insights from data, Fintalent’s range of analytics experts can offer deep insights into the products and services offered by client companies and suggest ways to improve operations or curb losses.

The world's largest network of Analytics consultants

Our Fintalents serve clients in North America, LATAM, Europe, MENA, and APAC.

Talent with experience at
World Map

Hire your Analytics consultant in 48 hours

Fintalent is the invite-only community for top-tier independent M&A consultants and Strategy professionals. Hire global freelance M&A consultants and Strategy experts with extensive experience in over 2,900 industries. Our platform allows you to build your team of independent M&A advisors and Strategy specialists in 48 hours. Welcome to the future of Mergers & Acquisitions!


Freelance M&A consultant

Barcelona, Spain
7 years experience


Freelance M&A consultant

New York, United States
10 years experience


Freelance M&A consultant

5 years experience


Freelance M&A consultant

United States
12 years experience


Freelance M&A consultant

4 years experience

Why should you hire Analytics experts with Fintalent?

Trusted Network

Every Fintalent has been vetted manually.

Ready in 48h​​​

Hire efficiently. Your M&A team is ready in 2 days or less.​​​​

Specialized Skills​

Fintalents are best-in-class - and specialized in 2,900+ industries.​

Code of Ethics​​

We guarantee highest integrity and ethical principles.​​​

Frequently asked questions

What clients usually engage your Analytics Consultants?

We work with clients from all over the world. Our clients range from enterprise and corporate clients to companies that are backed by Private Equity or Venture Capital funds. Furthermore, we work directly with Family Offices, Private Equity firms, and Asset Managers. Most of our enterprise clients have dedicated Corporate Development, M&A, and Strategy divisions which are utilizing our pool of Analytics talent to add on-demand and flexible resources, expertise, or staff to their in-house team.

How is Fintalent different?

Fintalent is not a staffing agency. We are a community of best-in-class Analytics professionals, highly specialized within their domains. We have streamlined the process of engaging the best Analytics talent and are able to provide clients with Analytics professionals within 48 hours of first engaging them. We believe that our platform provides more value for Corporates, Ventures, Private Equity and Venture Capital firms, and Family Offices.

Our Hiring Process – What do ‘Community-Approach’ and ‘Invite-to-Apply’ mean?

‘Invite-to-Apply’ is the process by which we shortlist candidates for the majority of projects on our platform. Often, due to the confidential nature of our clients’ projects, we do not release projects to our whole platform but using the matching technology and expertise of our internal team we select candidates who are the best fit for our clients’ needs. This approach also ensures engagement with our community of professionals on the Fintalent platform, and is a benefit both to our clients and independent professionals, as our freelancers have direct access to the roles best suited to their skills and are more likely to take an interest in a project if they have been sought out directly. In addition, if a member of our community is unavailable for a project but knows someone whose skill set perfectly fits the brief, they are able to invite them to apply for the role, utilizing the personal networks of each talent on our platform.

Which skills and expertise do your Fintalents have?

The Fintalents are hand-picked and vetted Analytics professionals, speak over 55 languages, and have professional experience in all geographical markets. Our Analytics consultants’ experience ranges from 3+ years as analysts at top investment banks and Strategy consultancies, to later career C-level executives. The average working experience is 6.9 years and 80% of all Fintalents range from 3-12 years into their careers.

Our Analytics consultants have experience in leading firms as well as interfacing with clients and wider corporate structures and management. What makes our Analytics talent pool stand out is the fact that they have technical backgrounds in over 2,900 industries.

How does the screening and onboarding of your Analytics talent work?

Fintalent.io is an invite-only platform and we believe in the power of referrals and a closed-loop community. Members of our community are able to invite a small number of professionals onto the platform. In addition, our team actively scouts for the best talent who have experience in investment banking or have worked at a global top management consultancy. All of our community-referred talent and scouted talent are subject to a rigorous screening process. As such, over the last 18 months totaling more than 750 hours of onboarding calls, of which only 40% have received an invite-link after the call.

What happens if I am not satisfied with my Analytics consultant’s work?

During your initial engagement with a member of our Fintalent talent pool with no risk. If you are not satisfied with the quality of your hire for any reason then we are able to find a replacement at short notice. There is no minimum commitment per project, but generally projects last at least 5 days and can last 12+ months.

Everything you need to know about Analytics

At its core, analytics is the process of gathering, processing and analyzing data collected from any source – whether it’s from a single machine or a networked environment. At its most basic, though, analytics involves data mining to extract and derive specific information from huge databases. An analytics team can generate value in the following three ways.

Process Improvement: Analytics can provide visibility into constraints, bottlenecks, and opportunities for improvement in existing processes.

New Products /Services Recovery: Analytics can help identify new business opportunities based on existing customer data. Analytics can also help identify areas of opportunity due to changing customer needs.

New Product /Service Design: Analytics can be used to identify the most effective way of serving a customer and/or solving a problem.

A few years ago, the word ‘analytics’ often referred to a business process that was conducted periodically to assess the company’s performance. Today, analytics has come to encompass a powerful technology that is changing how companies are able to learn about their products, customers and competition.

Analytics has been around for decades, but it really started taking off in the late 1990s as big data changed how businesses could access that information. Not long after that – and only about 10 years ago – analytics software became more accessible as well. Suddenly companies had the ability to pull massive amounts of data into a relational database and do analysis against their own datasets.

Analytics for businesses

Analytics became an essential tool for companies to engage with their customers and competitors – at the same time. Marketing research uses surveys or quantitative data to help companies identify trends and make decisions about product development. In contrast, analytics is often used by businesses to examine internal databases – especially their accounting records – and make sense of the information there.

As companies began collecting more data internally, they needed more sophisticated techniques to make sense of it. A computer doesn’t have the ability to understand all that data. It just responds to certain commands. Analytics software can be programmed to recognize patterns in that data, even if it was gathered from many sources over time by different people or teams within a company.

For example, a company may have information from its accounting records about the customers who purchased its products. But if it also has data from marketing databases that contain information on the website visitors who didn’t make a purchase, it might notice some commonalities between the two groups.

The company’s analysis could go even deeper. For example, it may ask the software to give it more detail about those non-purchasing visitors and find out what they had in common: income level, age group, education level and more. Then it could use that information to create a new marketing campaign aimed at people with similar profiles to attract them as customers.

The important point here is that the data-mining software can tell the company about its customers or targeted potential customers without having to collect new information. The analytics process can also be done on a regular basis, so the company always has a fresh view of its customers.

This brings us to another type of analysis – predictive analytics. Predictive analytics uses historical data to estimate future outcomes, such as how many people may purchase a particular product or service in the next year. This type of analysis is derived from past information and is used by companies that are trying to gauge how they should set their prices or decide which products or services will have the highest demand in their markets.

Admittedly, predictive analytics is not as common as other forms of analytics because it requires a huge amount of historical data. Many companies don’t have access to this kind of information and wouldn’t be able to process it if they did. Other companies may have better access but choose not to use this type of analysis because they are reluctant to make predictions about the future. They may be more comfortable relying on a proven historical trend than trying to make guesses about the future.

There are, however, many companies that do use predictive analytics – often with great success. They use the information they’ve gleaned from their data mining process and apply it to their business strategy. Analytics helps companies make sense of their businesses and understand what they need to do to succeed. Whether they are analyzing the performance of their marketing efforts or the financial health of their operations, analytics promises to continue to change how businesses are able to learn about themselves, so we can all benefit from the information those companies collect.

Application of Analytics

Fintalent’s Analytics Consultants can help improve the following aspects of a business using analystics:

Customer Relationship Management (CRM)

Traditional CRM systems have been designed with a narrow focus on customer behavior and relationship management. This can result in poor performance due to poor data quality, inaccurate or incomplete customer profiles, and lack of visibility into business outcomes (e.g., revenue per customer). Analytics offers a better way of improving processes by incorporating a customer-centric perspective into the system architecture, combined with real-time information, which gives managers and sales personnel more accurate insights into customer behavior. This information can be used to create more effective marketing strategies, generate new business opportunities, and improve customer loyalty.

A Firm’s Internal Sales Force

An analytics team is similar to an internal sales force, especially in terms of its visibility into the customer experience. The key difference is that the internal sales force doesn’t necessarily represent a marketer or even a product function, but rather merchandisers and users who provide the relevant feedback within their own departments.

Process Improvement: Analytics can provide visibility into constraints, bottlenecks, and opportunities for improvement in existing processes.

New Products /Services Recovery: Analytics can help identify new business opportunities based on existing customer data. Analytics can also help identify areas of opportunity due to changing customer needs.

New Product /Service Design: Analytics can be used to identify the most effective way of serving a customer and/or solving a problem.

Fintalent’s Analytics consultants use analytics throughout the product development cycle, which has helped firms gain insights into different aspects of their products. From the beginning, Fintalent’s Analytics experts apply analytics in all aspects of the client’s business, including e-commerce store; shipping, fulfillment, and order handling processes; marketing activities; product catalogs; the pricing and discounting structure associated with each product sale; and even how returns are handled for firms involved in retail of products. Our analytics consultants use analytics to find ways to improve the return process, which often resulted in an increase in the number of orders coming back and a decrease on the amount of time it took for returns to be processed.

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Hire the best Analytics specialists in 2,900+ industries

Fintalent is the invite-only community for top-tier M&A consultants and Strategy talent. Hire global Analytics consultants with extensive experience in over 2,900 industries. Our platform allows you to build your team of independent Analytics specialists in 48 hours. Welcome to the future of Mergers & Acquisitions!