Hire your Data Management consultant in 48 hours

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Data Management specialists to projects that need execution, now. Reliable. Targeted. Fast.
Selected clients and partners
Roma M&A, Private Equity
Associate
7 years experience
  • Data Management
  • Financial Modeling
  • Business Strategy
  • M&A
  • +3
Hire Lorenzo
France / Netherlands / Luxembourg / Switzerland / Spain / Portugal Strategy, M&A
Senior
10 years experience
  • Data Management
  • Financial Modeling
  • Business Strategy
  • M&A
  • +28
Hire Romain
New York, NY, USA Strategy, M&A
Manager
11 years experience
  • Data Management
  • Financial Modeling
  • Business Strategy
  • M&A
  • +6
Hire Kiran
Greater Boston Strategy, M&A
Associate
2 years experience
  • Data Management
  • Financial Modeling
  • Business Strategy
  • M&A
  • +7
Hire Jorge
Brussels, Belgium Strategy, Private Equity
Manager
14 years experience
  • Data Management
  • Business Strategy
  • Corporate Finance
  • Business Development
  • +3
Hire Elisa
Ho Chi Minh, Ho Chi Minh City, Vietnam Investment Management
Analyst
6 years experience
  • Data Management
  • Financial Modeling
  • Business Strategy
  • Corporate Finance
  • +6
Hire Anh
Frankfurt, Germany Strategy, M&A
Manager
9 years experience
  • Data Management
  • Financial Modeling
  • Business Strategy
  • M&A
  • +5
Hire Tuluhan
Budapest, Hungary M&A, Private Equity
Analyst
5 years experience
  • Data Management
  • Financial Modeling
  • M&A
  • Corporate Finance
  • +3
Hire Peter

What do Data Management consultants do?

Our data management consultants helps firms that require data migration collect, access, process, store, and archive information for financial decision-making while guaranteeing the integrity of such data.

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

What Is Data Management?

Data management is the process of accessing, capturing, processing, storing, and archiving data. It often falls under the control of a Chief Data Officer who oversees a variety of subsidiary data-related functions such as data quality management and business intelligence. Fintalents’s data management consultants describe Data management in finance as the collection, access, processing, storage, and archiving of information for financial decision-making. The core job of a Chief Data Officer (CDO) is to oversee a variety of subsidiary data-related functions such as data quality management and business intelligence.

The data you collect from your business will form the basis for many different types of decision making. For example, when you engage in a cash-based business model, you must manage and track your financial assets. When you switch over to an asset-based business model, you’ll also need to track your financial assets as well as allocate them between different uses. As explained in the article “What is data management?”, data management is often regarded as an important part of the Chief Data Officer role. Many different aspects comprise data management as highlighted further below.

Data Quality Management

One important part of managing your company’s data is ensuring your internal information remains reliable. This is accomplished through a process called “data quality management”.
Business intelligence is the process of using data to discover new insights and potentially offer you better decisions on what to do next. You can think of BI as an “insight engine” for your business. It turns raw data into meaningful information so that you can gain new insight and make better business decisions.
Data Quality Management, or (DQM), is a structured approach to managing data quality throughout the company so that appropriate actions are taken when issues arise. DQM leads organizations to employ standardized data cleansing procedures, systematic analysis of data and solid testing procedures, in order to verify the quality, accuracy and completeness of their corporate database. The ultimate goal of DQM is to provide accurate, reliable and useful information for decision support and business intelligence analysis.

What does Data Quality Management (DQM) Look Like?

The most common form of data quality management is a systematic framework that consists of four key components: logical controls, physical design, procedural controls and technical controls. It provides a flexible approach that can make change less daunting for managers. The logical controls section consists of data definitions, data dictionary, maintenance control structure and quality assurance factors (QAFs). They establish the overall integrity of your corporate database. The physical design section includes architecture and arrangement parameters that are essential in determining data storage limitations, performance requirements and availability issues. The procedural controls section includes data validation, data profiling and data logging. They enable you to predict problems and take proactive measures to address them. The technical controls section consists of backup and restoration plans, validation and verification procedures, survey plans for defining relationships among data elements in the corporate database and records management policy. In summary, these four core components are designed to ensure that your corporate database is an accurate reflection of what you know about your business.

What Data Management Does Not Include?

Data management was not designed as a complete solution for all of your business needs. You still have to include other vital functions in the field of data management such as budgeting, leadership skills, internal relationships and training. So, although data management is a crucial component of data collection, there are other important tasks that do not fall under the umbrella of data management.

What Is Data Quality?

Data quality is the degree to which your corporate database accurately represents what you already know about your business. The goal of data quality is to ensure that the information contained in your database is consistent and reliable, and it conforms to organizational standards. No two entities in any sector share exactly the same internal structure or external environment. Therefore, thorough planning and an understanding of existing conditions are essential if the content of your corporate database is to be accurate and reliable with respect to those conditions. Often, people will get confused between the two terms “data quality” and “quality data management”, but they are different. Data quality refers simply to the accuracy or usefulness of your database. Quality data management is a process by which you can ensure that your database is accurate, reliable and complete at all times.

Business Intelligence

Business intelligence (or BI) refers to a variety of analytical techniques used to turn raw data into meaningful information that can be used by companies for better decision-making processes. Your financial data may contain enormous amounts of information. In order to make the most of this data, you must use your analysis skills to find meaning in it. This requires a solid understanding of data governance, changes in business practices, and the ever-changing nature of your industry.
For example, imagine that you run a cash-based business model and have created several cash pools in order to manage your assets and track their movement across different business uses. You create one pool for each month that is used for profit, another one for overhead costs like staff costs or rent and so on. Based on these three pools, you determine the remaining cash available at any given time. In this scenario, you utilize your business intelligence skills to identify your current profit and loss situation.

Conclusion – Data Management is a Lifeline for Any Business

Data management and business intelligence are vital aspects of data collection. If you want to create a better understanding of your business, then you need to equip yourself with data management tools because they are the building blocks of business intelligence and analytical techniques. The more data you have available, the more accurate your analysis will be. Therefore, any decisions that stem from poor analysis or no analysis at all will be bad decisions that could lead to risks and inefficiencies in your business operations.

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

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