BUSINESS INTELLIGENCE SKILLS, EXPERIENCES, AND JOB REQUIREMENTS
Published: May 22, 2025 - The Business Intelligence Professional applies analytical and technical expertise to interpret complex data and support strategic decision-making. This role requires proficiency in data visualization, reporting, and database querying using modern BI tools. The individual leverages problem-solving skills to identify trends, optimize processes, and enhance overall business performance.
Essential Hard and Soft Skills for a Business Intelligence Resume
- Data Analysis
- Dashboard Development
- Report Creation
- Forecast Modeling
- Data Validation
- BI Development
- SQL Analysis
- Data Modeling
- Data Warehousing
- Trend Analysis
- Requirement Gathering
- Insight Communication
- Stakeholder Management
- Strategic Insight
- Problem Solving
- Technical Guidance
- Process Collaboration
- Stakeholder Engagement
- Visualization Advocacy
- Customer Communication

Summary of Business Intelligence Knowledge and Qualifications on Resume
1. BA in Business Analytics with 5 years of Experience
- Hands-on experience in a similar business analyst role with a strong focus on business intelligence or data analysis
- Hands-on experience in designing and building data visualization by using Power BI or similar visualization tools
- Proven experience in end-to-end (full lifecycle) data projects
- Experience working directly with business stakeholders, including sponsors and business leads/ project managers
- Good command of spoken and written English
- Proven ability to handle multiple projects concurrently
- Ability to drive demand/projects, analyze complex problems and communicate plans and findings to internal customers/stakeholders
- Adaptability to thrive in a fast-paced, dynamic environment
- Fast learner and eager to try new things
- Pro-active, self-motivated and problem-solving attitude
- Able to use relevant data models to segment customers into actionable groups
- Able to track target delivery and spot the trends for quick action
- Able to apply statistical techniques to predict demand change triggered by different marketing initiatives
2. BA in Information Systems with 7 years of Experience
- Experience in data analysis and modeling
- Experience in report building and ad-hoc analysis
- Experience using internal and external data sources (E.g., SAP, Nielsen, IRI) to create analytical reports
- Experience with analytical software and technology (such as SAS, SAS Viya, R/Python, RStudio, R Shiny, AWS Data and Analytics, etc.)
- Experience with SQL, Hive, Presto, Hadoop, or other data querying languages
- Experience using data visualization tools (E.g., Tableau, Power BI, etc.)
- Effectively collaborate with people within a project team
- Ability to identify and effectively resolve issues
- Excellent communication and motivation skills, and the ability to interact appropriately with all levels of the organization
- Demonstrated experience translating complex and technical subject matter
- Ability to work in conditions that include multiple and sometimes conflicting priorities
- Relevant Consumer Packaged Goods industry experience
- Experience supporting large-scale system implementations
- Experience developing analytics solutions using “Big Data” tools and techniques
3. BA in Data Analytics with 6 years of Experience
- IT experience in BI Architecture with cutting-edge technologies
- Experience in a similar position relating to database modeling, database design, ETL technologies, data pipelines and data products
- Must have experience with Hive, Snowflake, Spark, Data Warehouse, Data Lake and related
- Experience with microservice architecture and cloud-based application deployments
- In-depth understanding of data sources and structure principles
- Experience in data pipelines in Azure or AWS using Cloud services
- Extensive knowledge in SQL and hands-on experience with Java stack
- Have a thorough understanding of the Data Warehouse and Data Lake domains
- Have experience in NoSQL implementations - Cassandra
- Experience with distributed data/computing tools
- Analytical thinking, proactive attitude, and self-motivation demonstrated through experience
- Problem-solving skills and customer focus
- Able to participate in forming a friendly atmosphere, supports the high team spirit and cooperation
4. BA in Decision Sciences with 5 years of Experience
- Power BI experience, including experience with Data Set creation and utilizing DAX
- Strong problem-solving and analytical skills
- Excellent verbal and written communication skills
- Proficient in Microsoft Office
- Experience with Snowflake and SQL Server
- Experience in architecting and developing solutions on Cognos
- Experience with JavaScript and Microsoft Azure
- Knowledge of data warehousing and data ingestion and modeling concepts
- Experience with other BI, Analytics, or Data Science tools
- Experience working on agile / SCRUM teams including offshore resources
5. BA in Business Intelligence with 4 years of Experience
- Experience working in Operations, Consulting or comparable roles
- Exceptional skills in analysis, interpretation, and application to business objectives
- Ability to tell a succinct, meaningful, and actionable story with data using visualization and other techniques
- Experience building, analyzing and working in financial and operational data models
- Excellent written and oral communication skills to convey detailed and complicated messages to varied audiences
- Knowledge of the healthcare industry, especially Medicare and value-based care
- Proven ability to interact and engage with internal and external stakeholders
- Entrepreneurial mindset geared toward the creation, execution and continuous improvement of business development reports and strategies
- Ability to work on multiple projects simultaneously with minimal supervision
6. BA in Computer Information Systems with 7 years of Experience
- Must be able to work independently a well as with a team
- Motivated, self-directed, but with the ability to take direction from others
- Expert skills with Tableau Desktop and Tableau Server
- Strong analytical, quantitative, qualitative, and data management skills
- Excellent problem-solving skills with the ability to pay close attention to details
- Proven ability to create and deliver communications (written and verbal) and presentations to audiences at all levels in the organization
- Skilled at developing Business Intelligence and Analytics solutions including data visualizations
- Strong interpersonal skills with a demonstrated ability to partner, influence, consult and collaborate with all levels in the organization
- Proven ability to meet deadlines and work in a fast-paced environment with changing priorities
- Exceptional time management and organizational skills
- Proficient in Microsoft Office Suite products including Word, Excel, PowerPoint, and Outlook
- Ability to identify trends and understand the business context and impact of those trends
- Must have spoken and written fluency in English
- Proven experience working with C-level business leaders to understand/document their needs and create solutions
- Working knowledge of CRM and Finance solutions
- Working experience in IT Consulting
7. BA in Industrial Engineering with 4 years of Experience
- Experience building business intelligence, analytical, or data science solutions
- Hands-on experience with a Business Intelligence tool, such as Tableau, Power BI, Qlik, Business Objects, etc.
- Ability to set priorities and plans to meet business goals and objectives
- Ability to shift and balance strategic, high-level thinking with attention to detail
- Ability to motivate and influence without having formal authority
- Ability to focus on innovative and high-quality solutions
- Ability to work both independently and in a team environment with internal /external customers
- Ability to understand, design and implement end-to-end BI workflows
- Strong organizational, planning and problem-solving skills
- Strong communication and interpersonal skills
- Familiarity with SQL and Data Marts
- Experience working in an Agile framework
- Property and casualty insurance industry experience
8. BA in Data Engineering with 3 years of Experience
- Experience reporting from and working with IVR / ACD phone systems
- Experience reporting from and working with CRM systems
- Experience using BI Tools (i.e, Looker, Tableau)
- Must have LookML Certification
- Relational database systems experience (i.e., Redshift, Snowflake)
- Have a keen interest in technology and Business Intelligence
- Have a passion to connect, mine, and optimize the full customer journey to create amazing experiences for customers
- Project management experience with strong written and verbal communication skills
- Experience in call center processes, business analytics, or operations analytics
9. BA in Database Administration with 2 years of Experience
- Have a keen interest in technology and Business Intelligence
- Intermediate to advanced Excel
- Advanced SQL experience including R and Python
- Experience reporting from and working with CRM systems (i.e., Zendesk, Salesforce)
- Experience using BI Tools (i.e, Looker, Tableau, Microstrategy)
- Familiarity with Project and change management
- Strong written and verbal communication skills
- Ability to quickly adapt to rapid change and a fast-paced atmosphere
- Experience in call center processes, business analytics, or operations analytics
10. BA in Business Administration with 1 year of Experience
- Working experience in using IBI/TIBCO- WebFocus and iWay in business intelligence and data warehousing environments
- Strong SQL scripting abilities and understanding of complex stored procedures, views, data aggregation/manipulation through table joins/queries, database design, normalization and de-normalization techniques
- Possesses strong analytical and troubleshooting skills
- Demonstrated attention to detail in ensuring the accuracy and efficiency of the data warehouse and the individual work units
- Ability to use presentation, word processing, and database or spreadsheet software
- Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and nontechnical audiences
- Self-motivated with the ability to work within a project-based environment
- Self-managed with able to manage time independently with little to no supervision within a project-based environment
- Ability to work in a team environment
11. BA in Mathematics with 5 years of Experience
- Work experience in business intelligence, data engineering, or a related field
- Intermediate experience working with Power BI and Tableau
- General knowledge of business operations (e.g., Supply Chain, Manufacturing, Sales, Professional Services, etc.)
- Ability to work with non-technical stakeholders to translate a business problem into data requirements
- Proven track record of successful written and verbal communication with stakeholders of varying technical depth
- Intrinsically motivated, with the ability to work independently with minimal direct supervision in a fast-paced environment, solving ambiguous problems
- Knowledge of Azure data solutions, specifically Synapse Analytics, Data Factory, Data Lake Storage, Purview (or Data Catalog), and DevOps/Git
- Experience with product usage and customer behavior datasets, including writing requirements for new telemetry
- Experience with Salesforce and Dynamics (D365) datasets
- Knowledge of data visualization best practices and UX design
- Experience coding in Python
12. BA in Financial Analytics with 7 years of Experience
- Expert or Professional level certifications in other BI tools like Cognos, OBIEE, BOBJ, Microstrategy, Qlik, and Thoughtspot
- Experience in business intelligence role, including data warehousing, business intelligence, data visualization tools, techniques and technology
- Experience with upgrade and migration of legacy BI Tools to data visualization tools like Tableau, Looker, etc.
- Experience in designing and delivering cross-functional custom reporting solutions
- Experience with an enterprise-class BI tool like Micro Strategy, Business Objects, Tableau, Oracle Business Intelligence, Cognos, PowerBI and familiarity with new BI tools like Domo, Looker or Superset
- Experience gathering business requirements, using business intelligence tools to extract data, formulate metrics, and build reports
- Experience with query development and tuning
- Experience working in very large data warehouse environments
- Experience conducting large-scale data analysis to support business decision-making
- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders
- Proven ability to meet tight deadlines, multitask, and prioritize workload
- Track record for being detail-oriented with a demonstrated ability to self-motivate and follow through on projects
13. BA in Analytics and Modeling with 3 years of Experience
- Data Modeling experience to deliver both logical model and physical design for analytical systems
- Solid hands-on SQL experience with SQL Server, Snowflake, ELT tools, Tableau and Informatica
- Must have technical understanding of tools and products used in data mart and data integration development, such as SQL Server, Snowflake
- Broad exposure to the new techniques in agile Data Warehousing and Data Integration technologies
- Strong conceptual and analytical skills such as SQL, Problem Solving, Performance tuning, and Test case analysis
- Good understanding of data architecture in a cloud environment (AWS)
- Technical expertise in distributed system architecture, design, and development
- Experience and exposure to MongoDB, Cassandra, and NoSQL environments
- Able to communicate effectively with all levels of management clearly and professionally, verbally and in writing, and possess superior people management and leadership skills
- Strong Leadership, Decision-making, and Technical design skills
- Ability to multitask and comfortable working in a large organization across multiple teams
14. BA in Risk Management with 5 years of Experience
- Fluent in Python and relational databases like SQL Server, PostgreSQL, and MySQL
- Familiarity with NoSQL databases or NoSQL-style data storage in relational databases
- Comfortable working with geo-spatial data
- Experience developing optimized and scalable ETL processes
- Excellent verbal and written communication skills
- Strong interpersonal skills, ability to work with all levels of management, and demonstrates a strong entrepreneurial spirit
- Proficient in Go, Erlang, Ruby, and/or C#
- Experience working with unstructured and dirty data
- Experience developing backend subsystems for large web applications and complex ETL processing systems
- Working knowledge of Big Data technologies such as Spark, Hadoop and Redshift
- Deep understanding of building complex data pipelines with products like Airflow or Luigi
- Industry experience in Logistics, Supply Chain or 3PL Logistics
15. BA in Actuarial Science with 1 year of Experience
- Ability to work independently and as a member of a cross-functional team
- Willingness to learn, be mentored, and improve
- Able to teach other team members and colleagues about technology in the area of expertise
- Familiarity with various Microsoft Office 365 tools
- Proficient and adept at Excel
- Aptitude for quickly learning new technology and software, with the ability to apply its use
- Solid communication skills, with the ability and confidence to present to an audience of varied leadership
16. BA in Supply Chain Analytics with 4 years of Experience
- Exposure to or knowledge of ERP Systems and SAP
- Ability to research current and emerging information technologies
- Some knowledge of the software development life cycle
- Knowledge of Relational Database Management System concepts and SQL
- Proficiency with MS Office, specifically SharePoint, Excel and Access
- Strong technical aptitude, initiative, creativity, and excellent customer service skills
- Strong analytical problem-solving skills and critical thinking
- Excellent interpersonal skills, including strong verbal and written communication
- Ability to plan and organize multiple tasks
- Solid work ethic and demonstrated ability to meet deadlines
- Ability to work both independently and on team assignments
- Must be assertive, proactive, and seek work and clarification on issues/concerns that arise
- Self-motivated with the ability to act independently and demonstrate sound judgment
- Dependable, accountable, responsive, and committed to follow-through activities
17. BA in Management Information Systems with 2 years of Experience
- Highly numerate with excellent analytical skills
- Experienced in business intelligence, market analysis and market research
- Experience in the pharma / bio-pharma / healthcare industry and willingness to learn and understand the relevant therapy areas
- Technically proficient in market analysis and forecasting including expert use of Excel
- Depth and breadth of knowledge in pharmaceutical analytics and market research techniques and methodologies
- Knowledge of standard pharmaceutical market data sources
- Excellent oral and written communication skills
- Strong project management skills
- Good attention to detail and tenacity to ensure problems are identified and solved
- A team player with strong interpersonal skills to develop the necessary relationships both internally and externally (proven track record of working in cross-functional teams)
18. BA in Business Data Science with 6 years of Experience
- Experience with various machine learning projects
- Experience with data extraction and manipulation tools and Data Mining tools
- Experience with customer data management
- Working experience in Online gaming
- Excellent interpersonal and written and verbal communication skills
- Excellent knowledge of statistical analysis
- Excellent time and project management skills
- Knowledge of creating custom attributes and measures from raw transaction data
- Able to understand and translate marketing and analytic needs into solutions and data management requirements
- Ability to extract data by writing SQL queries
- Experience using Tableau or similar BI tools
- Programming for data analysis (R or Python)
- Able to manage shifting priorities in a fast-paced environment
19. BA in Decision Sciences with 5 years of Experience
- Experience working with SQL-based implementations and comfort operating in data-warehouse environments such as Google BigQuery or similar
- Experience leveraging the various components of Google Cloud Platform (Such as Cloud Storage, Cloud Functions, App Engine, etc.) to build scalable and sustainable data solutions
- Ability to write functions in Python
- Ability to work with APIs to extract data from sources where ready connectors may not exist
- Ability to convey insights effectively through visualisations in BI tools (Google Data Studio, Power BI, Tableau, etc.)
- Experience using data pipeline tools such as Stitch, Supermetrics, Hevo, Funnel, or similar
- Basic understanding of Google Analytics and data from marketing platforms such as Facebook / Instagram Ads, Google Ads, Google Search Console
- Basic understanding of JavaScript, HTML and CSS
- Exceptional analytical and problem-solving skills
- Ability to work autonomously and as part of a team
- Ability to manage multiple tasks and adhere to time pressures and deadlines
20. BA in Business Administration with 7 years of Experience
- Experience with tier-one applications, databases, and data warehouses, such as MS SQL Server, Crystal, SAP, SCM, and so on
- Expertise in Business Objects tools, such as Scheduler, Designer, Data Integrator, and BO Universe design
- Expertise in Power BI
- Demonstrated ability with data design tools
- Strong ability to analyze user requirements and build front-end BI applications according to specifications
- Knowledge of scripting language
- Strong understanding of relational database structures, theories, principles, and practices
- Experience with database design applications
- Experience with data processing flowcharting techniques
- Strong understanding of the organization’s goals and objectives
- Good knowledge of applicable data privacy practices and laws
Relevant Information