Business Intelligence Analyst - Discover Your Path to Career Success (2025)

Colleagues, did you know that the “The global business intelligence (BI) market size was valued at USD 30.1 billion in 2024 and is projected to grow from USD 36.82 billion in 2025 to reach USD 116.25 billion by 2033, growing at a CAGR of 14.98% during the forecast period (2025-2033) based on Straits Research Private Limited (January 2025)”? View the excellent article entitled “Guide To Becoming a Business Intelligence Analyst” published by Indeed (March 2025).

Job Titles: Business Intelligence Analyst, Senior Business Intelligence Analyst, BI Developer, 

Data Analyst (with BI focus), Analytics Engineer, BI Manager, Data Visualization Specialist, Business Analyst (with BI skills), Marketing Intelligence Analyst, Financial BI Analyst

Salaries: BuiltIn, Glassdoor, Indeed, JobTed, Talent.com, ZipRecruiter (will vary by experience level & location)

Career Opportunities: Amazon, Glassdoor, Indeed, Jooble, Wellfound, ZipRecruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

• Google Business Intelligence Professional Certificate

• IBM Business Intelligence (BI) Analyst Professional Certificate

• IBM Data Analyst Professional Certificate

• Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)

• MIT MicroMasters® Program in Statistics and Data Science

• Power BI - Business Intelligence for Beginners to Advance

• Tableau Certification Training

Your path to success begins today, Lawrence E. Wilson - Data Science Academy (share with colleagues & friends) 

Data Engineer - Discover Your Path to Career Success (2025)

Colleagues, did you know that according to Mordor Intelligence “The Big Data Engineering Services Market size is estimated at USD 91.54 billion in 2025, and is expected to reach USD 187.19 billion by 2030, at a CAGR of 15.38% during the forecast period (2025-2030)”? For more details see the Indeed article “Data Engineer Job Description: Top Duties and Qualifications” (March 2025).

Job Titles: Data Engineer, Senior Data Engineer, Cloud Data Engineer, Big Data Engineer, Data Architect, ETL (Extract, Transform, Load) Developer, Data Pipeline Engineer, Analytics Engineer, Machine Learning Engineer (with Data Engineering focus), DataOps Engineer

Salaries: BuiltIn, Glassdoor, Indeed, Levels.fyi, PayScale, ZipRecruiter (will vary by experience level & location)

Career Opportunities: Dice, Indeed, Kaggle, LinkedIn, Monster, Simply Hired, Zip Recruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

• Azure Databricks & Spark For Data Engineers (PySpark/SQL) (Udemy)

• Big Data Architect Masters Program (Udemy)

• Cloud Database Engineer Specialization (Google)

• Database Engineer Professional Certificate (Meta)

• IBM Data Engineering Professional Certificate (IBM)

• Introduction to Data Engineering (Datacamp)

• Introduction to Data Engineering (IBM)

Begin your path to success today, Lawrence E. Wilson - Data Science Academy (share with colleagues & friends) 

Data Scientist - Discover Your Path to Career Success (2025)

Colleagues, did you know that the global Data Science Platform Market size was valued $95.3B in 2021 and the revenue forecast for 2026 is set for the valuation of $322.9B? It is projected to grow at a CAGR of 27.7% during the forecast period (2021-2026) based on a report from Markets and Markets. Moreover, Indeed provides an up-to-date  Data Scientist job description - top duties and qualifications.

Job Titles: Data Scientist, Senior Data Scientist, Machine Learning Scientist, Data Analyst, Business Intelligence Analyst, Data Science Manager/Director

Salaries: BuiltIn, Glassdoor, Indeed, Levels.fyi, PayScale, ZipRecruiter (will vary by experience level & location)

Career Opportunities: DataJobs, Dice, Indeed, LinkedIn, Simply Hired, Zip Recruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

• Applied Data Science Specialization

• Data Analytics Professional Certificate

• Google Data Analytics Professional Certificate

• IBM Data Analyst Professional Certificate

• Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)

• Understanding Data Science

Your path to success begins today, Lawrence E. Wilson - Data Science Academy (share with colleagues & friends)

Microsoft Power BI Certification Training: PwC Academy

Colleagues, the “Microsoft Power BI Certification Training: PwC Academy” offers dual certification in business intelligence. It covers concepts such as Power BI Desktop, DAX, Service, Reports, and more with real-world industry use cases. The training is live instructor-led and provides hands-on experience in real-time projects. It prepares you for the official PL-300 exam and offers simulated real-world scenarios. Enroll today to stand out in the job market with dual certification in the BI domain and advance your career. The global BI market has been on an impressive growth trajectory, starting at $27.11 B in 2022 and projected to reach $54.27 B by 2030, with a significant step up to $33.3 B expected in 2024. This growth is fueled by the ever-increasing demand for skilled professionals. The Bureau of Labor Statistics predicts an 11% increase in business analyst positions from 2020 to 2030, highlighting the significance of BI roles. Gain high-demand skills in Data Transformation, Charts and Page Layout, Advanced Analytics with Power BI, Building Reports & Special Visualizations, Building Narratives with Fabric and Working with Copilot Feature. Skill-based training modules address: 1) Introduction to Power BI, 2) Power BI Desktop and Data Transformation, 3) Data Analysis Expression (DAX), 4) Data Visualization, 5) Power BI Service, 6) Connectivity Modes, 7) Power BI Report Server, 8) Integrating R & Python in Power BI, 9) Advanced Analytics in Power BI, and 10) Hands-on Project

Enroll today (teams & executives are welcome): https://tinyurl.com/yc55jywf 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Data Analytics Professional Certificate

Colleagues, the new “Data Analytics Professional Certificate” program will provide you with a robust foundation in Data Analytics. Build a job-ready data analytics skill set using industry-standard tools, including generative AI, to extract insights, make decisions, and solve real-world business problems. Data-informed decision-making is now an essential skill for everyone, from everyday consumer choices to business decisions at all levels. As reliance on data grows, so does the need for professionals who can analyze and interpret it effectively. The Data Analytics Professional Certificate, led by industry leader Sean Barnes, equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights. Learn: Statistics for real-world decision-making. Learn to calculate and interpret descriptive and inferential statistics to solve business problems. Data visualization and storytelling. Create compelling visualizations that effectively communicate complex data stories to stakeholders. Generative AI for analytics. Leverage genAI in the data analytics lifecycle, with hands-on labs and guidance on when and how to use AI assistance. Gain highly marketable skills in Data cleaning and preprocessing, Data Visualization, Python Programming for Data Analysis, Spreadsheets, Data Storytelling, Inferential Statistics (Hypothesis testing and Confidence Intervals), Applied Statistics and Probability, Time Series Analysis And Forecasting, Descriptive Statistics, SQL for Data Manipulation, Data Analysis, Data Segmentation, LLM Prompting for Data Analysis, Inferential Statistics, Python, Linear Regression, Customized Visualizations, Generative AI, Data Validation, Web Scraping, Data Preprocessing, SQLite, Data Cleaning, Statistical Analysis, Probability, Statistics, Tableau, Insight Summary, Data Narrative Design, and Data Dashboards. Training modules address: 1)Data Analytics Foundations, 2) Applied Statistics for Data Analytics, 3) Python for Data Analytics, 4) Data I/O and Preprocessing with Python and SQL, and 5) Data Storytelling.

Enroll today (teams & executives are welcome): https://imp.i384100.net/4Go3ro 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)