Database analysts gather and analyze a wide variety of data for businesses in order to identify problems and develop technological solutions. They also configure, install, and repair software or hardware, allowing them to store proper information, ensure accurate data processes, and make suggestions to management concerning efficiency or quality improvements. Database analysts can work in multiple business environments in small, designated teams that thrive on teamwork and communication.
1. What is involved in a typical data analyst position?
Typical data analysis involves collecting, analyzing and extrapolating data. The goal is to locate procedural liabilities and improve current processes in order to save money and make others’ work easier. It’s a process that requires immense attention to detail and creativity.
2. What procedures do you use to analyze given data?
The process that I use to solve analytical dilemmas depends on the objective of the project. I begin by organizing the information. I look for relationships and trends in the data by establishing relationships between two or more variables. My procedures include data cleaning, data mining, quality verification, statistical computing, and analysis reporting.
3. What kind of data analysis software are you familiar with?
I have a variety of database analysis skills, including pivot tables in Excel, experience with software such as Java and Adobe, as well as data mining algorithms. My most important task in my previous position was to oversee, upgrade, and streamline our database to meet the demands of the company.
4. How will you treat missing values in a data set?
I begin by identifying the missing values. Then I assess the extent and severity of the missing values and search for a pattern or trend in the missing values. If I don’t identify a trend, I will either look for someone else to help me look through it again or ignore them if they aren’t going alter the data with their absence.
5. Describe your proficiencies in Microsoft Excel.
I am very experienced in many different areas of excel including various statistical formulas and pivot tables. I am very comfortable with Excel’s interface and am able to efficiently analyze given data as well as create my own data and present it in a format that is easy for me and others to evaluate.
6. How do you communicate your data findings in a user friendly way that effectively gets your points across?
It is understood that this discipline sometimes draws people that lack effective people skills. However, I am a very effective communicator with likeable and personable communication characteristics. This makes it easier for me to translate my findings into a user friendly format.
7. What communication strengths do you possess?
My best communication strength is my ability to communicate in a helpful, genuine way which enables people to feel more comfortable with me. It also encourages them to reciprocate the same genuine attitude, which promotes workplace chemistry. In a database analyst role, communication is important, especially when presenting information and findings. It’s imperative that fellow employees understand what you want them to understand.
8. Imagine you are tasked with analyzing an Excel file for unusual trends and you are unfamiliar with the data and have never worked with it before. What do you do?
I would identify terms and patterns that are unfamiliar with me and come up with a few questions to ask around and find what they mean and what I could do with them. With some information, I would create some sample data and go with it to my boss and see if I am analyzing the data effectively. Then, I would work through and familiarize myself with the data, double checking my work and asking for help when needed.
9. What challenges have you encountered while working with big data?
This is an experience driven question that has no specific answer. However, the employer is probing into your setbacks here. They are not so much concerned as to what the setback was, they are more concerned with how you reacted to it and how you made the best out of a bad situation. It is also important to cap your answer with an explanation of what you gained from the setback and how it is benefitting you now.
10. What data analysis project did you perform the best at?
This is another experience driven question that has no specific answer. Don’t be afraid to go into detail about the project you are talking about. Consider it a story. Make sure that you give the impression that you are passionate about the project and what you accomplished during it. This is also a chance to show them your communication abilities.