Landing a Business Intelligence Role
44mBeginner2022-02-09
Authors

John David Ariansen
Helping organizations understand and use data

Madecraft
Full-Service Learning Content Company
Course details
In today's competitive job market, being able to find a role that leverages your skillset is increasingly difficult. In this course, business intelligence and data visualization expert John David Ariansen provides you with skills to help you navigate this market with confidence. He starts by stressing the importance of being able to seize opportunities and outline your skills to best fit specific roles. Then, John David reviews how you can both build and capitalize on your network to help you gain work experience or find an in with your dream company. He then explores ways in which you can continue to refine your skill set and continue to educate yourself in the world of business intelligence, as well as providing some personal branding tips to help you market yourself effectively. Finally, John David gives his strategies for a killer interview, regardless of the type of questions being asked or skills being evaluated.
Skills covered
Business IntelligenceCareer ManagementCareer DevelopmentData ScienceBusiness Analysis and StrategyOne-Off
Concepts
0. Introduction
- 01 - Landing that business intelligence role
1. Seizing Opportunities
- 02 - Finding doors of opportunity
- 03 - Sizing up the right role
- 04 - Outlining a list of your hard skills
- 05 - Outlining soft skills
2. Leveraging Your Network
- 06 - Opportunities from referrals
- 07 - Joining communities
- 08 - Building a thoughtful network
- 09 - Considering nonprofit analytics work
3. Building Skills
- 10 - Building your analytics skills blueprint
- 11 - Benefits of higher education
- 12 - Online vs. in-person education
4. Personal Branding
- 13 - Sharing your analytics projects publicly
- 14 - Optimizing your LinkedIn profile
- 15 - Building a business intelligence resume
- 16 - Building an analytics portfolio
- 17 - Earning relevant certifications
5. Interviewing
- 18 - The three phases of an analytics interview
- 19 - Phone screening
- 20 - Behavioral interview
- 21 - Technical interview
- 22 - STAR method of explaining projects
Conclusion
- 23 - Go get that new role
Related courses
- Introduction to Career Skills in Data Analytics (2022)
- AI in Fintech Essential Training (2019)
- Vibe Code Your First AI App with Lovable and n8n (No Code Required)
- Customer Journey Mapping with Generative AI
- Presentation Tips for Pitching to Investors
- Developing Ideas and Advertising Concepts
- Planning a Web Design Portfolio: Growing Your Freelance Business
- Lead Generation Foundations (2019)
Related learn paths
- Become a Data Analytics Specialist
- Introduction to Fundamental Skills for Data Work: Data Analysis and Interpretation
- Empower Your Future: Use AI and Optimize Your Job Search for Career Success
- Explore a Career in Data Analysis
- Career Essentials in Data Analysis by Microsoft and LinkedIn
- Starting Your Career in Tech: Data Science
- Unlock Your Career Potential: Use LinkedIn to Build Confidence and Career Skills
- Generative AI for Customer Service with Microsoft 365 Copilot Professional Certificate