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San Francisco, CA, USA
4 years experience
  • Big Data Analytics
  • Financial Modeling
  • Business Strategy
  • M&A
  • +13
Hire Mikhail
13 years experience
  • Big Data Analytics
  • Financial Modeling
  • M&A
  • Valuation
  • +18
Hire Mariya
Düsseldorf, Germany
4 years experience
  • Big Data Analytics
  • Financial Modeling
  • Business Strategy
  • M&A
  • +22
Hire Sven
8 years experience
  • Big Data Analytics
  • Financial Modeling
  • Business Strategy
  • Project Management
  • +15
Hire Alina
15 years experience
  • Big Data Analytics
  • Business Intelligence
  • Technology
  • Artificial Intelligence (AI)
  • +12
Hire Nisar
New York City Metropolitan Area
5 years experience
  • Big Data Analytics
  • Financial Modeling
  • Financial Analysis
  • Due Diligence
  • +11
Hire Nicholas
Dallas, TX, USA
20 years experience
  • Big Data Analytics
  • M&A
  • Project Management
  • Due Diligence
  • +24
Hire Rob
London, UK
15 years experience
  • Big Data Analytics
  • Business Strategy
  • Due Diligence
  • Business Transformation
  • +15
Hire Kevin

Fintalent is the fastest way
to access hyper-specialized M&A talent

I have worked with Fintalent.io both as a talent and as a recruiter. It helped me find a full-time position and supported the recruitment process to expand my new team. The experience and engagement of Fintalent.io and their team have always been incredible.

A data analytics consultant is a professional who provides guidance and direction to those who want to improve their data analytics processes. Usually, data analytics consultants are independent or self-employed.
Talent with experience at

Frequently asked questions

What clients usually engage your Big Data 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 Big Data 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 Big Data Analytics professionals, highly specialized within their domains. We have streamlined the process of engaging the best Big Data Analytics talent and are able to provide clients with Big Data 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 Big Data Analytics professionals, speak over 55 languages, and have professional experience in all geographical markets. Our Big Data 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 Big Data Analytics consultants have experience in leading firms as well as interfacing with clients and wider corporate structures and management. What makes our Big Data 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 Big Data 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 Big Data 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.

We are a community-based M&A staffing platform.

With our platform, you can fill full-time M&A roles, or staff your team with a Big Data Analytics expert when you need an extra hand.

Full Flexibility

On-demand M&A deal staffing

Get full flexibility and add M&A team members from analyst to VP level on demand and on a per-deal basis.

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Permanent M&A Hiring

Hire the best talent for your Corporate M&A team. Our platform approach gets you in front of the right candidates, incredibly fast.

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Hiring guide to find the perfect freelance Big Data Analytics consultant

The demand for tracking and analyzing data keeps increasing. Each time we use the internet, some data is generated. These data are structured, semi-structured, or unstructured and are referred to as big data. 

Hence, analyzing these data is critical to help understand trends and reveal information in the use of technology.

What does big data analytics mean?

Big data analytics is the process of perusing big data to get information such as correlations, hidden patterns, market trends, and user preferences to help organizations make informed business decisions. 

Big data, in a nutshell, is a bundle of data with enormous data size and records exponential increases. This means the data set has high complexity, and none of the traditional data processing tools can store or process it efficiently. 

Examples of big data include the New York Stock Exchange and social media. The New York Stock exchange generates about one terabyte of new trade data every day, while the Facebook site data size increases by over 500 terabytes of data daily. 

This data is generated from messages exchanged and comments passed on the site, photos and videos uploaded. Big data is usually characterized by the following:

  1. Volume
  2. Variety
  3. Velocity
  1. Volume: This refers to the data size, and it is the most important criterion for classifying data as big data. 
  2. Variety: This refers to the heterogeneity of the various sources of the data and the nature of the data. 
  3. Velocity: The speed of data generation can also contribute to its size. How fast the data is generated and processed to meet the demands determines the real potential of the data.

What does a prominent data analytics consultant do?

A data analytics consultant is a professional who provides guidance and direction to those who want to improve their data analytics processes. Usually, data analytics consultants are independent or self-employed. 

However, they can work for consulting firms and in corporate settings. The responsibilities of prominent data analytics consultants vary depending on where they work and their clients. Some of their duties include:

  • Managing and developing databases and data maps
  • Evaluating data processing to discover potential problems
  • Developing data models and optimizing data processes
  • Recommending possible data use improvements
  • Helping teams navigate data management procedures
  • Assisting with data integration, transfer, and warehousing
  • Creating data analysis reports and dashboards
  • Developing and following confidential data management protocol
  • Advising groups on proper data cleanup and storage

Big Data Analytics Tools

With increasing demand to track data, it has become crucial for businesses to maintain consistency and relevance by collecting and analyzing meaningful data. There are numerous data analytics tools, but selecting the right one depends on your needs and goals. Below are some popular big data analytics tools.

Apache Hadoop

This tool is the best big data analytics tool used by many giant tech companies like Microsoft, IBM and Amazon. Apache Hadoop is a java-based open-source platform that processes and stores big data. 

It can process data, whether structured or not, from one server to several other local devices. Furthermore, Hadoop also offers cross-platform support for its users.  

Other features of Hadoop include:

  • It offers quick access via its file system, HDFS (Hadoop Distributed File System)
  • It can work on small commodity hardware like JBOD or some other type of disk.
  • It is highly scalable and can distribute a large amount of data in smaller segments.

R Programming

R is a programming language that data analytics is used for statistical computing and extensive data analysis. It provides various statistical tests, including matched pairs and association tests. 

Other features provided by the R programming language include

  • R produces plots and graphics that are ready for publication
  • R is integrated with the Python programming language giving it faster, up-to-date, and accurate analytics

X Plenty

X Plenty is an analytic data software for building data pipelines. The significant features of Xplenty include 

  • Data Security
  • Rest API

Apache Spark

Spark is an analytical framework used to process data and perform multiple tasks on a large scale. It is also used to process data via various computers with the help of distributing tools. Spark allows users to work using their preferred programming languages, such as java and python.

Rapid Miner

Rapid Miner is a fully automated visual workflow design software for data analytics. A unique perk of Rapid Miner is that it is a no-code platform, and it requires little coding experience by the user to segregate data. 

Big Data Analytics in Healthcare

One notable application of big data analytics is in healthcare. Big data analytics has helped predict outbreaks of pandemics, avoid preventable diseases and deaths, reduce the cost of treatment and improve the standard of living. 

Furthermore, other applications include Patients prediction for improved staffing, Electronic medical records, Aids in managing and tracking mass diseases and improved drug prescription process. 

Big data analytics aids governmental and non-governmental organizations in strategic planning and policy formulation that addresses specific health issues. 

As stated above, it is precise data analytics in healthcare proves that medical applications will save numerous lives. 


More companies are turning to big data; hence, there is increased demand for analytics consultants to develop, manage and oversee the smooth running of the database. 

Big data analytics is being utilized more in every industry. However, its role in healthcare might have the greatest impact on our lives.