4 Challenges Faced By A Data Manager And 3 Key Data Manager Skills Useful For Overcoming Them

Data Manager Skills include key skills like knowledge of Excel which will help pull out information and check the accuracy of data. Logical thinking and statistical skills are also essential. Challenges faced by Data Managers include problem solving in a non-technical or linear manner, security of data, safety protocols with regard to sensitive data and keeping up with the changing laws around data.

Nicholas Nuss Senior Data Management Consultant

3 Key Data Manager Skills

  1. Knowledge of Excel: Excel skills are essential when dealing with data. It helps you unravel data from different data files. You can run simple reports within the data on Excel to check on the accuracy and validity of the data.

  2. Logical Thinking: The skill to think through a technical problem and to provide a logical solution to that problem is an immense skill that any Data Manager can have.

  3. Statistical Skills: The ability to apply statistics and troubleshoot any problem armed with such statistical data is another valuable skill of a good Data Manager, analyst or data scientist.

    These skills are the backbone of a competent and able Data Manager.

 

4 Challenges faced by a Data Manager

  1. The role of a Data Manager is a technical one. This implies that any problem arising has to be solved in a non-linear manner. Problems tend to be so complex that even many hours of work in working out a solution prove to be worthless at times. The problem could be the result of any and many issues like inaccurate and incorrect data, environment complexities, a small tweak in microdata, etc. It is frustrating and disheartening to be unable to pinpoint a concrete time frame in which a solution can be arrived at. Rectifying and updating database is a time - consuming task and it requires heavy technical input.

  2. Data security and its protection thereof is another challenge that a Data Manager faces. Breach and compromise of secured data is a real and genuine problem which can have far-reaching effects. The Data Manager has to ensure that it is on the correct servers and protected with strong passwords.

  3. Sensitive data has to be handled well and all safety protocols followed with due diligence by the Data Manager. They have to ensure that sensitive data is utilized and worked upon within the confines of the organization and not accessed to or carried out in personal space. Blatant disregard of safety protocols will land the Data Manager in a legal tangle also. Data is sourced from many entities like clients, vendors, suppliers to work on and decipher. Any compromise or leak or breach of such data will lead to souring of such relationships and loss of trust. Work atmosphere gets tainted and difficult to maintain and the onus of this falls on the Data Manager.

  4. Laws around data are never constant but always changing. Companies have to keep up with these laws and handle data as such. Countries differ with their data laws and it is the major challenge of the Data Manager to track and work within the ambit of these laws.

 

Conclusion

Data Manager Skills are the key to Data Manager roles. Armed with skills and knowledge a Data Manager is able to overcome certain challenges faced by him and ensure safety and security of sensitive data and then define himself as an extremely able and competent Data Manager.