In the past, they were the unicorns – the data scientists. Today we have teams with very different types of roles working in the fields of data and AI because this is not any more only a topic for IT but also for others. Not an easy job for HR to find the right people for this 🤯!
There are a variety of jobs in data beyond the role of a data scientist. Here are a few examples:
Data Analyst: A data analyst collects, processes, and performs statistical analyses on data to uncover insights and make recommendations. They are responsible for cleaning, transforming, and modeling data to provide insights to the business.
Data Engineer: A data engineer is responsible for designing, building, and maintaining the infrastructure that enables data processing and analysis. They ensure that data is accessible, scalable, and secure.
Data Visualization Developer: A data visualization developer creates interactive data visualizations and dashboards to help businesses understand and to show opportunities for revenue growth based on sales, customer, and industry data.
Data Strategist: The job of a data strategist is to develop and implement strategies that help organizations make the most effective use of their data. This involves working with various stakeholders to identify business objectives and goals that can be supported by data, and then developing a plan to collect, analyze, and use that data to achieve those goals.
Industry Expert: An industry expert will use their understanding of the industry and its trends to identify patterns and insights within the data. They may be responsible for collecting, organizing, and analyzing data from various sources, such as surveys, research studies, market reports, and industry publications. They may also develop models or predictive algorithms to help forecast future trends and identify potential risks or opportunities.
We could name and describe more data jobs (like Data Architects, Data Governance Lead, BI Analysts, etc, etc, etc), but that would go beyond the scope of our newsletter. We’d rather ask the question, “What makes a good data team?” 👀
“What makes a good data team?” This certainly includes hard and soft factors such as:
Different skills, expertise and experience: A good data team should be composed of individuals with diverse skills, expertise, and experience. Diverse teams are more likely to recognize their biases and solve problems when interpreting data, testing solutions, or making decisions. Each team member should bring a unique perspective and be able to contribute to solving complex data problems.
Clear goals and objectives: A good data team should have a clear understanding of the business goals they are trying to achieve using data. They should work closely with other departments in the organization to ensure they are aligned with the overall business strategy.
Strong communication skills: A good data team should be able to easily communicate complex data concepts to non-technical stakeholders. They should be able to present data findings and recommendations clearly and concisely.
Agile methodology: a good data team should be able to work in an agile and iterative manner. This means it should be able to quickly prototype and test hypotheses and make adjustments as needed based on feedback.
Data governance and security: a good data team should be committed to maintaining the integrity and security of data. It should follow industry best practices for data governance and ensure that data is stored and processed securely.
Through the growing challenge cross-collaborations with other departments are increasing in the data environment, which is why companies are looking at data culture and data literacy.
So HR has a hard time…
No wonder more and more companies approach us at DATA festival to exchange ideas about data jobs and employer branding opportunities.
And now we are happy to help – Our solution is DATA festival #career! 🤩💪
You can now become a DATA festival #career partner and…
…profit from authentic employer branding
… get access to a unique data community
… make your employee search easier
Sounds like a perfect match for you and your company?
For more information, feel free to go to our website: DATA festival #career (data-festival.com) or write an E-Mail directly to our Career Partner Manager Judith Lichtlein email@example.com.
Get to know DATA festival 👇🏻
If you don’t know DATA festival events yet, it’s worth joining us in Munich on June 13-14, 2023.
Why you should attend:
· DATA festival has presentations on hot topics like Data Culture, Data Mesh, ChatGPT and many more
· you’ll meet data people with any kind of data skillz
· profit from open and honest exchange with a wonderful Data #community
Register here for the event. We look forward to seeing you! 🥳