Hire your Data Modeling consultant in 48 hours

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Data Modeling specialists to projects that need execution, now. Reliable. Targeted. Fast.
Selected clients and partners
Amsterdam, Netherlands Strategy, M&A
Associate
4 years experience
  • Data Modeling
  • Financial Modeling
  • M&A
  • Corporate Finance
  • +6
Hire Mihail
Dublin, Ireland M&A, Private Equity
Manager
5 years experience
  • Data Modeling
  • Financial Modeling
  • M&A
  • Corporate Finance
  • +46
Hire Inga
Zürich, Switzerland Strategy, M&A
Senior
20 years experience
  • Data Modeling
  • M&A
  • Corporate Finance
  • Business Development
  • +3
Hire Winfried
İstanbul, Turkey Strategy, M&A
Senior
10 years experience
  • Data Modeling
  • Financial Modeling
  • Business Strategy
  • M&A
  • +7
Hire Uluç Yiğit
New York, NY, USA M&A, Private Equity
Associate
1 years experience
  • Data Modeling
  • Financial Modeling
  • Corporate Finance
  • Financial Analysis
  • +3
Hire Varun
Frankfurt, Germany M&A, Private Equity
Senior
15 years experience
  • Data Modeling
  • Financial Modeling
  • M&A
  • Corporate Finance
  • +2
Hire Konstantin
Dallas, TX, USA Strategy, Investment Management
Senior
20 years experience
  • Data Modeling
  • Technical Analysis
  • Portfolio Management
  • Market Analysis
  • +2
Hire Mike
Paris, France M&A
Analyst
2 years experience
  • Data Modeling
  • Financial Modeling
  • M&A
  • Corporate Finance
  • +3
Hire Tarik

What do Data Modeling consultants do?

Our data modeling experts will help our clients process, refine and document data models to create representations of relevant characteristics and relationships within an organization in order to aid future predictions and understand their behaviours.

The world's largest network of Data Modeling consultants

Fintalent is the invite-only community for top-tier independent M&A consultants and Strategy professionals. Our Fintalents serve clients in North America, LATAM, Europe, MENA, and APAC.

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!

Talent with experience at
World Map

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

What is Data Modeling?

A data model is a representation of relevant characteristics and relationships within an organization that creates the framework for managing its data. Data modeling is a process of designing, building, refining, and documenting data models. Fintalent’s data modeling consultants observe that it’s typically used in order to help enhance the understanding of a currently existing business process or improve it in some way. Data modeling can also be used as a tool to analyze risks associated with new changes or interventions that might be made to an existing process design.

There are two general categories for business data models: functional and relational. A functional model describes how the business works by showing what it does, such as how it creates and tracks receipts, bills and payments. It shows who takes part in the process and when they do so. A relational model shows what the business uses to build these processes; it is more technical in nature.

The first step in data modeling is to create a map that includes major players and information flows between them; this is called a context diagram. The purpose of a context diagram or wireframe is to make sure your diagram will show everything you need. It’s like designing a house based on blueprints: Instead of building till you run out of money, you can see whether you’re missing anything before breaking ground.

The context diagram is followed by an Entity Relationship Model (ERM), which is a sort of tree diagram that shows the entities needed in a business and the relationships between them. You can compare it to a puzzle: You need the right pieces and the right configuration or you won’t wind up with the picture you want. You start with raw data, then model it till you have what you need. Just as it’s important not to overlook anything when designing a house, it’s important not to overlook any information needs while doing data modeling.

The data architect is responsible for making sure that all views are taken into account as models are built out, providing advice and even stepping in with their own models if something has been overlooked. It’s the architect’s job to make sure a structure is built that will work for everyone.

There are several benefits to modeling: It can better capture the business’s needs and requirements, making it easier to develop software and create new products, while also providing better understanding of existing systems. It shows how products fit together and helps sell them. Models can also save money by reducing the amount of adjustments required, preventing costly changes after they’ve been made and allowing anyone who needs access to it to see what’s going on.

Many industries rely on data modeling, including finance, retail marketing and medical applications. It is a complex topic, and has a history that dates back to the early part of the 20th Century, when firms used personal computers to collect data and build models. However, since then many new technologies have been developed to make the job much easier.

Analyst must understand the market’s current situation before they can design test models to analyze a business’s future operation. They need this information to determine what lines of prospective data will be needed for future analyses and how accurate it is. It may also help them understand what changes need to be made in their existing models. This information could be provided by a third party or from internal sources.

By analyzing current situation and needs of the market, analysts can build a financial model that captures as much information as possible. This will help them to find unexpected patterns in their data. It is important that an analyst has enough knowledge about the company’s business, especially future matters and changes.

The process of data modeling is based on the Delphi technique. This is a method of seeking expert opinions from a panel of independent experts. These individuals use their experience to answer questions derived from the problem at hand, relating to future events and expectations. Their responses are then converted into a valuable tool for predicting future outcomes.

A strength of Delphi technique is that it allows for unbiased opinions from experts, who are also provided with an opportunity to express their views without feeling pressured by others or any form of commitment. The working periods and intervals can be adjusted as needed because it is entirely dependent on available expert knowledge and opinion. These factors, along with the fact that subjectivity is heavily reduced, make Delphi technique a powerful tool for predicting future events.

While there are many different types of data modeling techniques and software that can be used, there are three main things to consider when choosing which one to use: the scale of the analysis, how the analysis will be carried out and the number of people who will be involved in it.

There is no single best practice in terms of financial modeling software because different types of modeling are used for different purposes. The most important factor to consider when choosing a modeling system is your own familiarity with it.

Data modeling requires special skills along with knowledge of computers and business operations to perform correctly. It also requires ability to select appropriate software and hardware as well as create databases within software programs. Most data modeling projects require multiple people to work on them.

Looking for a different skillset?

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Case studies

Want to become a Fintalent?

Hire the best Data Modeling specialists in 2,900+ industries

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