SNSAI NIHAL KONDUTILet’s talk ↗

Dashboard / Power BI

Data Professional Survey

The people
behind the data.

FOCUSSurvey dashboard
STACKPower BI · Survey analysis · Interactive reporting
PROJECTPublic GitHub repository
Published Data Professional Survey Breakdown dashboard showing salary, country, languages, and satisfaction
Original Power BI screenshot · values reflect the published report view View full size ↗
630survey respondents
29.87average respondent age
Power BIreporting platform

A Power BI view of data professionals’ careers, compensation, preferred languages, and satisfaction with work.

01 / THE CHALLENGE

Make a broad survey readable.

Survey responses span roles, countries, preferences, and personal experiences. A useful overview must make these different dimensions easy to compare.

02 / THE SOLUTION

A deliberate path through the problem.

The dashboard brings salary by job title, respondent geography, favorite programming languages, and difficulty entering the field into a single view, alongside work-life and salary satisfaction.

03 / BUILD DETAILS

The choices that shape the work.

01

Career comparisons

Job-title salary bars and language preferences give the career data an immediate reading order.

02

Who is represented

A country treemap and respondent count provide context for the survey population.

03

The experience of working in data

Satisfaction gauges and an entry-difficulty breakdown complement compensation figures.

04 / OUTCOME

What the project delivers.

The project publishes the report link and a dashboard screenshot. The published view includes 630 respondents with an average age of 29.87.

FROM THE REPOSITORYDashboard & report link ↗
05 / DESIGN & ENGINEERING TAKEAWAY

A career is more than a salary.

Compensation is only one dimension of a career. Placing it beside satisfaction and entry difficulty makes the survey more useful to someone exploring the field.