The highest standard in AI — AI Guild #datacareer
Data Analyst (m/f/d).
A mid-level competency profile for business innovation.
Are you perhaps wondering what a data-driven company looks like in practice?
Here is the example of a practitioner capable of achieving data-driven business innovation.
She is a Data Analyst.
She has accumulated five years in advanced analytics and modeling as a postdoc and in the automotive industry. Her profile shows her expertise at the forefront of innovation in technology and business.
For companies and practitioners: The competency profile validates your technical competency and domain expertise in data. It recognizes you as a specialist and advances your career to Senior, Lead, and Director. By practitioners, for practitioners — this service is provided by the AI Guild.
What do you see in the competency profile?
The training in experimental methods is vital to her. Yet, she has shifted decisively to the industry, working at the interface of technology and business. She uses analytics to incubate a disruptive idea and provides blueprints for new products. Her technical skills are essential in two ways.
- Data-driven exploration of new products.
- ML-based product development.
Furthermore, her leadership interest and skills are emerging at the said interface (leading technical teams).
Product and project
Deploying ML invariably means releasing a product, even when the product is an in-house service. I have seen companies struggle with the difference between product and project.
Project management has been vital to business for decades, e.g., optimizing processes, onboarding consultants, and seeking innovation. But if you treat machine learning as a project, you are unlikely to progress beyond temporary data infrastructures and proofs-of-concept.
What can the practitioner do? You can make the most of it by building your skills on two tracks.
- Hone your business innovation capacity by developing disruptive data-driven products in established markets.
- Build out your predictive modeling skills and seek opportunities for deployment.
Achieving innovation
In terms of industry experience, this is a great mid-level profile bolstered by a long-term investment in critical ML skills like time series and computer vision. The profile emphasizes Data Analytics as a business-oriented role (working with technical teams).
She has delivered proof of business innovation. This is a must have competency profile for any company wanting to achieve innovation.
The AI Guild’s 1800+ Specialists
The AI Guild is Europe’s leading practitioner community in Data Analytics, Data Engineering, Data Science, Machine Learning, Deep Learning, NLP, Computer Vision, and MLOps.
Do you want to progress to Senior, Lead, and Director?
It takes 60 days to build your competency profile. You can find out more by booking the first conversation to gain more insights at https://www.datacareer.eu.
