BI CONSULTANT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Sep 20, 2024 - The Business Intelligence Consultant has expertise in developing ETL models for data warehousing, with a strong command of Microsoft SQL, and practical knowledge of QlikView and QlikSense. This job requires being excel in data analysis, tracing, and problem-solving while demonstrating excellent client-facing and communication skills. Additionally, the position must be adept at building effective business relationships and working with cross-functional teams in both onshore and offshore environments.


Summary of BI Consultant Knowledge and Qualifications on Resume
1. BS in Computer Science with 3 years of Experience
- Confidence in handling at least one programming language (ideally Python)
- At least know-how in one visualization tool, e.g. Tableau, Looker, PowerBI
- Hands-on experience with cloud databases, such as Redshift, Snowflake, BigQuery, Synapse Analytics
- Working experience in the technical implementation of automation solutions
- Practical experience in the field of Business Intelligence
- A hands-on mentality and good analytical skills
- A high standard of quality and personal responsibility as well as attention to detail
- Enjoy explaining technical details to a less technical audience
- Open-minded to the latest technologies and cross-platform BI ecosystem
- Understanding and empathy for different corporate cultures
- Experience working in automation solutions with excellent SQL skills
2. BA in Information Systems with 2 years of Experience
- Knowledge and experience with developing ETL models for data warehousing
- Working experience and excellent understanding of Microsoft SQL.
- Practical knowledge of QlikView and QlikSence.
- Excellent in analyzing and data tracing.
- Good communication skills both verbal and written
- Strong organizational, planning, and problem-solving skills
- Ability to work with functional teams with both onshore and offshore resources.
- Able to demonstrate a clear approach to methodology as well as functional capabilities.
- Good client-facing skills e.g. verbal, client demonstrations, delivering training within an organization.
- Be flexible with time and capable of working in a process-oriented environment.
- The ability to build effective relationships with business partners
- Ability to listen effectively, process information, ask appropriate questions for clarification and execute tasks accordingly
3. BS in Data Analytics with 4 years of Experience
- Experience building business intelligence and analytics tools
- Experience working in an Agile framework
- Strong communication and interpersonal skills
- Must have excellent quantitative skills
- Property and Casualty insurance industry experience
- Proven analytical skills with attention to detail balanced
- The ability to see and make sense of the big picture
- Experience in analyzing data, synthesizing and comparing information
- The ability to understand issues and identify cause/effect relationships
- Ability to explore alternative solutions to support sound decision-making
- Confident, self-starter capable of independently driving multiple concurrent projects to completion
- Ability to think creatively and collaboratively with a team to solve problems
- Dedicated to self-development with an ongoing willingness to learn new things
Editorial Process and Content Quality
This content is part of Lamwork's career intelligence platform and is developed using structured analysis of real-world job data, including publicly available job descriptions, skill requirements, and hiring patterns.
Lam Nguyen, Founder & Editorial Lead, defines the research framework behind Lamwork's career intelligence platform, including job role analysis, skills taxonomy, and structured career insights.
All content is reviewed by Thanh Huyen, Managing Editor, who oversees editorial quality, content consistency, and alignment with real-world role expectations and Lamwork's editorial standards.
Content is developed through a structured process that includes data analysis, role and skill mapping, standardized content formatting, editorial review, and periodic updates.
Content is reviewed and updated periodically to reflect changes in skills, role requirements, and labor market trends.
Learn more about our editorial standards.