To be expert in Power BI, you need to become good at dataviz and datamodeling,and also business intelligence a little. We have a proper structure to be followed as the roadmap for further lead:
1. Master the Basics
- Import from multiple data sources (Excel, SQL, APIs and cloud services)
- Build Simple Visualizations: Learn how to create bar charts, line graphs, tables, pie charts and other standard visual elements.
2. Develop Data Modeling Skills
- Mastering I Power Query: Get to know the tool, how to manipulate data in it and connect with Microsoft Excel!Cleaning, Filtering and much more.
- Related Models: Create Relationships and logical data model
- DAX (Data Analysis Expressions): Get to know DAX functions and become an expert in creating calculated column, measures, advanced expressions for analysis.
3. Advance Visualization Skills
- Custom Visuals — It lets you to advanced visuals like KPI, maps, gauges etc and also help to visualize the custom charts over power bi marketplace.
4. Develop Advanced Skills
- Data Modeling and Optimization — Optimize large Datasets, Enhance model performance, Manage complex datasets.
- You can read how to do this in my advanced DAX — Peeling The Onion; Time Intelligence, Cumulative Total and Ranking Functions post.
- Power BI Embedded: This one is based on this idea of embedding Power BI reports into applications or web portals and you can do that directly through the APIs they provide here
5. Real-World Project Experience
- Get started with projects like:
- Sales Performance Dashboard
- Financial KPI Dashboard
- Supply Chain Analytics
- Analyzing Customer Demographics
6. Create a Portfolio & Start Doing Work
- Build a Portfolio: Establish authority with Power BI case studies and dashboards
- Engage in the Community: Give your ideas back by writing blogs, forums or making example of dashboards (GitHub/LinkedIn) visible.
Careers in Power BI and business intelligence (BI)
A list of 20 careers in relation with Power BI and Business Intelligence (BI) provided below:
- Power BI Developer
- Business Intelligence Analyst
- Data Analyst
- Data Scientist
- Investing in a Business Intelligence Consultant.
- Data Engineer
- Power BI Administrator
- Reporting Analyst
- Financial Analyst with Power BI Skills
- Freelance Power BI Consultant
- Data Visualization Specialist
- Analytics Manager
- Product Analyst
- Operations Analyst
- Market Research Analyst
- Supply Chain Analyst
- Customer Insights Analyst
- Quality Assurance Analyst (BI tools)
- ETL Developer
- Chief Data Officer (CDO)
These play fields are demonstrating the proper utilization of Power BI skills in a sundry field and domain.
1. Data Analyst
- USA: $60,000 to 100.
- UK: £30k – £50k
- Canada: 55 k -85 K CDN
- Australia: AUD 70,000 to AUD 100,000
- India: ₹400,000 – ₹800,000
2. Data Scientist
- United States: $90,000 – $150,00
- United Kingdom: $45,000-$80,000
- Canada: $80,000- 120,000 CAD
- Australia:100,000 AUD to 150,000 AUD
- India: ₹800,000 – ₹1,600,000
5. Business Intelligence Developer
- USA: $90,000 — $140,000
- UK: £45,000 – £75,000
- Although I will provide a rough estimate: Canada- Approx 85,000 — 125,000 CAD
- Australia: AUD 100,000—AUD 140,000
- India: ₹700,000 – ₹1,200,000
6. Data Engineer
- USA: 90,000 — $140,000+
- U.K. — £45,000 – £75,000
- CAD 85,000 – CAD125,000 in Canada
- Australia: 100-140k AUD
- India: ₹700,000 – ₹1,200,000
7. Power BI Administrator
- United States — $80,000 to $120,000
- The United Kingdom: £40,000 to £65,000
- CU: USD 60K – 80KBiotech Bay Area (SF): ~USD100KCIFREC BudgetNational Institutes of Health Postdoc Stipenditrustanciarennes.
- Australia: $90k – 120K AUD
- India: ₹600,000 – ₹1,000,000
8. Reporting Analys
- USA : 60,000 –90,00 dollars
- UK: £30-50k
- Canada — CAD 55,000 and up to CAD 85,000
