BUSINESS INTELLIGENCE INTERN SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Oct 03, 2024 - The Business Intelligence Intern with proficiency in SQL, Excel, and programming languages such as Python, Java, or R, along with a strong grasp of BI tools like Tableau and Microsoft PowerBI, is adept at handling large-scale data analysis. This role requires a foundational understanding of algorithm design, complexity analysis, and data warehousing solutions, ensuring precise data querying, modeling, and visualization. The intern also thrives in dynamic, ambiguous environments, showcasing exceptional communication skills and an analytical, proactive approach to problem-solving.

Essential Hard and Soft Skills for a Standout Business Intelligence Internship Resume
  • SQL
  • Python
  • Data Visualization
  • Data Analysis
  • Machine Learning
  • Business Analysis
  • Statistical Analysis
  • Data Warehousing
  • ETL Processes
  • Report Writing
  • Critical Thinking
  • Problem Solving
  • Communication
  • Attention to Detail
  • Adaptability
  • Collaboration
  • Time Management
  • Creativity
  • Initiative
  • Active Learning

Summary of Business Intelligence Internship Knowledge and Qualifications on Resume

1. BA in Business Analytics with 2 years of experience

  • The ability to write SQL with good analytical and problem-solving skills
  • Basic knowledge of Database concepts, and any data visualization tools
  • Ability to perform tasks in support of unit testing, integration testing, and system-level testing
  • Knowledgeable about new technologies and products with the willingness to continue learning
  • Ability to be open-minded and receptive to feedback in an intellectually rigorous environment
  • Self-motivated and able to work well with minimal supervision or in a team environment
  • The ability to consult with team members and management 
  • Strong attention to detail and analytical skills with the ability to identify and resolve problems
  • Good organizational skills with the ability to multitask
  • Excellent verbal and written communication skills

2. BS in Computer Science with 1 year of experience

  • Highly effective verbal and written communication skills
  • Passion for interacting with people, both co-workers and clients
  • Excellent analytical and problem-solving skills with detail-oriented
  • Business acumen and understanding of the role of business intelligence
  • Have the adaptability and flexibility to changing situations
  • Tableau Software internship working experience (including Tableau Desktop and Tableau Server)
  • Knowledge of BI and analytics tools (Oracle/Hyperion, Cognos, Qlik, or Business Objects)
  • Understanding of Big Data distributions (Cloudera CDH, Hadoop, HBase, Pig, Hive)
  • Knowledge of Big Data analytics solutions (HP Vertica, Oracle NoSQ DBL, Hadoop Loader, EXASOL)
  • Understanding of ETL tools (Alteryx, Syncsort, Informatica, Data Stage, SSIS, Pentaho)

3. BS in Statistics with 3 years of experience

  • Basic knowledge of  PowerShell, Python, Java, SQL, Spark or equivalent languages
  • Basic knowledge of New Technology such as Azure Cloud environments and SnowFlake Data Warehouses
  • Ability to translate requirements to working solutions and work with multiple business user groups.
  • Understanding of data analysis and performing quality audits on datasets.
  • Basic knowledge of Analytics/Algorithms/Applied Math/Statistics
  • Basic understanding of  DevOps CI/CD agile operating model
  • Experience with using data analysis and Visualization tools.
  • Strong analytical, prioritizing, planning, and problem-solving skills.
  • Passion for delivering compelling solutions that exceed client expectations

4. BA in Information Systems with 2 years of experience

  • Experience with data querying or modeling with SQL and Excel
  • Experience with scripting language (e.g., Python, Java, or R)
  • Experience with BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools)
  • Basic understanding of algorithm design and complexity analysis
  • The ability to deal with ambiguity in a fast-paced environment
  • Excellent verbal/written communication skills and data presentation skills
  • Excellent IT skills, especially in Excel and Microsoft PowerBI. 
  • Advanced knowledge and demonstrated experience with Microsoft PowerBI, and basic programming skills
  • Be methodical, analytical, dynamic, open-minded, and proactive.
  • Experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets
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