The Data Strategist: Tasks and Daily Work

These are the tasks of a data strategist

The central task of a data strategist is to design data strategies and related projects in the field of business digitalization. Methods such as design thinking are used to conceptualize a data journey. Another important tool for data strategists are workshops, in which they discuss use cases with companies and develop a use case roadmap based on these discussions.

The main focus is on understanding the individual requirements of companies and learning how to translate these into productive data projects. The goal is always to generate real added value from the existing data (“Data2Value”). Data strategists do not work alone, but collaborate with a team on the various aspects of the data strategy.

In order to develop viable ideas from which new, data-driven business models can be derived in the long term, it is important to always be up-to-date. That is why identifying and anticipating important trends in the digital environment, such as AI, machine learning, and chatbots, is also part of the job. This enables the development of successful data strategies that not only bring companies short-term success, but also a long-term competitive advantage.

These are the skills a data strategist needs

Basic programming skills are very helpful for a data strategist in order to understand, conceptualize, and, above all, communicate data strategies. More important are skills such as listening and understanding, strong communication skills, and persuasiveness. To do this, they must be proficient in presentation tools such as PowerPoint, for example, in order to quickly transform complex topics into meaningful graphics and compelling stories.

In addition to conceptual thinking, storytelling talent, and statistical and mathematical understanding, a high level of commitment, flexibility, and creativity are also standard requirements. This is because a lot of energy is needed at the beginning of projects, as they often involve breaking new ground. However, since projects are also supported as they progress, project management skills round out the profile of a good data strategist.

How do you become a data strategist?

The profession of data strategist has only been around for a few years. As a result, there are no corresponding degree programs or continuing education opportunities yet. A degree in business administration or business informatics is usually the starting point for a career in this field.

Initial experience, for example as a trainee or junior data strategist in the field of business analytics, data science projects, or in a strategy consultancy, often precedes entry into the profession. Studies and professional practice are the source of in-depth knowledge of big data, data analytics, IT, and business administration. In addition to knowledge and experience, however, a fundamental aptitude for analytical and strategic thinking is essential for any data strategist.

The day-to-day work

The conception of ideas, data strategies, and projects is certainly the core business of a data strategist. However, a data strategist does not only play an important role in the initial phase. They also accompany projects as they progress. For example, they check whether adjustments such as expansion through external data sources are necessary for better analysis.

Successful strategies are not necessarily characterized by being right from the start, but rather by being regularly reviewed for success and corrected if necessary. This once again highlights why communication skills are so important for a data strategist, as many areas of business such as purchasing, management, and IT intersect here. The data strategist also develops guidelines for the proper handling of data from a legal and ethical perspective (data governance) and for the distribution of roles (data custodianship).