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OnMetrix - Data Analysis Research
Research into habits of data analysts.
1.
What is your current job title?
2.
What is your current level within your organisation?
Entry-level
Mid-level professional
Senior professional
Manager
Director
Executive (C-level)
Consultant/Contractor
Other (please specify)
3.
What industry do you work in?
Retail and E-commerce
Finance and Banking
Healthcare and Life Sciences
Technology and Software
Manufacturing
Education
Government and Public Sector
Telecommunications
Media and Entertainment
Transportation and Logistics
Energy and Utilities
Real Estate
Hospitality and Travel
Non-profit
Other (please specify)
4.
Which tools do you primarily use for data analysis? (Select all that apply)
Microsoft Excel
Power BI
Tableau
Google Analytics
SQL
Python/R
Qlik
Other (please specify)
None of the above
5.
How frequently do you use Microsoft Excel in your analysis work?
Daily
Several times a week
Occasionally (once a week or less)
Rarely (once a month or less)
Never
6.
What is your main purpose for using data visualisation tools (e.g., Power BI, Tableau)?
Do not include Excel in this
Creating real-time dashboards
Generating reports for stakeholders
Exploring and identifying trends
Ad-hoc analysis and insights
I do not use any data visualisation tools
Other (Please specify)
7.
What is your main purpose for using Excel?
Creating real-time dashboards
Generating reports for stakeholders
Exploring and identifying trends
Ad-hoc analysis and insights
Data Cleaning
I do not use Excel
Other (Please specify)
8.
What percentage of your data visualisation work is done in Excel compared to other tools like Power BI, Tableau, Qlik, and Google Analytics?
0% Excel - 100% Visualisation Tool
25% Excel - 75% Visualisation Tool
50% Excel - 50% Visualisation Tool
75% Excel - 25% Visualisation Tool
100% Excel - 0% Visualisation Tool
9.
What are your primary career goals for the next 1–2 years? (Select up to two)
Developing advanced technical skills (e.g., Python, SQL, advanced Excel)
Gaining expertise in data visualisation tools (e.g., Power BI, Tableau)
Moving into a managerial or leadership role
Transitioning to a specialised data role (e.g., data engineering, data science)
Improving data storytelling and communication skills
Expanding knowledge in data strategy and business intelligence
Seeking a new role within the industry
Other (please specify)
10.
Would you like to subscribe to our Business Intelligence Weekly Newsletter?
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