Business Intelligence Engineer

Business Intelligence Engineer Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Business Intelligence Engineer job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Business Intelligence (BI)
  • SAP BusinessObjects
  • Extract, Transform, Load (ETL)
  • SQL
  • SQL Server Integration Services (SSIS)
  • SQL Server Reporting Services (SSRS)
  • Talend
  •  Find out what your resume's missing
  • Microsoft SQL Server
  • QlikView
  • Informatica
  • Oracle Database
  • Data Warehousing
  • PL/SQL
  • Databases
  • Oracle SQL Developer
  • Java
  • Talend Open Studio
  • Data Mining
  • MySQL
  • Tableau
  • Amazon Redshift
  • Data Modeling
  • Microsoft Power BI
  • Python (Programming Language)
  • Data Visualization
  • Amazon Web Services (AWS)
  • SQL Server Analysis Services (SSAS)
  • Business Intelligence Tools
  • Hadoop
  • Transact-SQL (T-SQL)
  • Hive

  •   Show full list

Resume Skills: Big Data

Resume Skills: Programming

Resume Skills: Data Analysis

Resume Skills: Machine Learning

Resume Skills: Business Intelligence Tools

Resume Skills: Data Management

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Business Intelligence Engineer Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Business Intelligence Engineer Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Business Intelligence Engineer
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded April 2019 - Present
Senior Business Intelligence Engineer
Implemented efficient data warehousing models using Microsoft SQL Server which increased data retrieval speed by 65%
Executed SQL Server Reporting Services (SSRS) to enhance the accuracy of the reports, which in turn boosted the data-driven decision making by 40%
Designed and executed BI solutions using SAP BusinessObjects resulting in 35% more efficient company-wide data analysis
Developed an effective Extract, Transform, Load (ETL) process utilizing SQL Server Integration Services (SSIS), accelerating data integration and migration by 50%
Leveraged proficiency in Oracle Database to manage, manipulate and analyze voluminous datasets, saving 10 man-hours per week January 2016 - March 2019
Business Intelligence Analyst
Built robust data mining processes utilizing Java, leading to the discovery of key market trends and increased campaign conversions by 30%
Utilized QlikView for providing BI insights, which enhanced the clarity in business operations by 25%
Implemented PL/SQL to perform intricate database operations that improved data retrieval by 20%
Led the use of Tableau for data visualization which drove company-wide understanding of complex datasets
Microsoft August 2013 - December 2015
Junior Oracle SQL Developer
Innovatively used Oracle SQL Developer in managing databases, reducing data redundancy by 60%
Increased database efficiency by 30% through proper management of MySQL
Leveraged Amazon Redshift to manage data warehousing which sped up data processing by 15%
Resume Worded University May 2015
Master of Science in Data Science and Analytics
Completed the program on a part-time basis, balancing full-time work responsibilities.
Resume Worded Institute June 2013
Bachelor of Engineering - Computer Science
Minors in Mathematics
Awards: Resume Worded Academic Scholar (Top 10%)
Programming/Development: Oracle SQL, Python, R, Java, C++, .NET
Business Intelligence Tools: Tableau, QlikView, Power BI, MS Project, MS Excel (Advanced)
Big Data Technologies: Hadoop, Hive, MapReduce, Spark, NoSQL
Data Management: Database Management, Data Warehousing, Data Mining, ETL Processes, Data Integration
Certifications: Oracle Certified Professional, Java SE 6 Programmer (2014), Certified Business Intelligence Professional (CBIP) - Higher Level (2019)
Projects: Developed a business intelligence pipeline for real-time prediction of customer churn rates, leading to a 15% improvement in customer retention strategies.
Leadership & Volunteering: Foundation (Volunteer), Women in Tech Initiative (Mentor)
Continuing Education: Continuous learning through Coursera. Courses in Big Data, Advanced Analytics & AI, Data Structures & Algorithms
Your Name
Alt Job Title
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE October 2018 - Present
Senior Business Intelligence Analyst
Expedited data processing and analysis by using Talend Open Studio, increasing efficiency by 50%
Devised complex data models using Informatica, enhancing data integration and retrieval on demand, resulting in an efficiency gain of 70%
Optimized data storage and retrieval processes by efficiently using Oracle Database, reducing time for data retrieval by over 60%
Managed data visualizations by using QlikView, leading to 40% improvement in business operation clarity
Improved data mining processes with use of Java, discovering key market trends leading to a campaign conversion increase of 35%
Microsoft December 2018 - Present
Lead Data Engineer
Directed the use of SQL Server Integration Services (SSIS) for efficient data integration, streamlining reporting accuracy by 45%
Revamped data warehousing models utilizing Microsoft SQL Server, boosting data retrieval speed by 40%
Employed Oracle Database for effective and seamless data management, contributing to 60% reduction in data redundancy
Applied SAP BusinessObjects to develop agile BI solutions, elevating company-wide data analysis efficiency by 55%
Instrumented robust data mining processes with Java, resulting in the discovery of key business analysis patterns
Resume Worded February 2015 - September 2018
Lead Data Analyst
Harnessed efficiency in Extract, Transform, Load (ETL) techniques using SQL and Tableau, accelerating data integration and migration by 35%
Applied SQL Server Integration Services (SSIS) to enhance the accuracy of reports, boosting the data-driven decision making by 45%
Improved data warehousing handling and management using Amazon Redshift, resulting in data processing speed boost by 20%
Resume Worded June 2015 - November 2018
Business Intelligence Analyst
Optimized data handling and extraction using ETL methodologies, leading to an efficiency gain of 30%
Deployed Tableau for advanced data visualization, enhancing understanding of complex datasets company-wide
Managed databases effectively with Oracle SQL Developer, boosting database efficiency by 40%
Pioneered the use of QlikView for real-time BI insight generation, enhancing decision-making processes by 25%
Google November 2012 - January 2015
Data Engineer
Advocated database efficiency by 25% with proficient handling of Oracle SQL Developer tools
Reduced data redundancy through strategic management of MySQL databases
Enhanced the data warehousing process with SAP BusinessObjects, boosting the efficiency of company-wide data analysis by 30%
Amazon August 2012 - May 2015
Junior SQL Developer
Reduced data redundancy by 30% with proficient use of MySQL
Expedited data warehousing via Amazon Redshift, boosting data processing speed by 25%
Enhanced complex database operations with PL/SQL, improving data retrieval by 17%
Resume Worded University August 2018
Master of Science in Data Science
Specialisation in Machine Learning, Data Mining and Artificial Intelligence
Resume Worded Academic Center May 2015
Bachelor of Engineering - Computer Science
Minor in Statistics
Awards: Dean's List 2014 (Top 10%), Resume Worded Merit Scholarship (Full)
Data Analysis: SQL, Tableau, Python, R, SPSS, MATLAB
Big Data: Hadoop, Spark, Hive, Pig, Microsoft Azure
Machine Learning: TensorFlow, Keras, PyTorch, scikit-learn, SAS
Programming: Python (Advanced), Java (Intermediate), C++ (Intermediate)
Certifications: Microsoft Certified: Data Engineer Associate, Amazon AWS Certified Big Data
Leadership & Volunteering: Tech-for-Good: Volunteer Data Analyst, Women in Tech: Mentor
Projects: Designed a predictive model for sales analysis using Python, Built a SQL Database for a local business to manage inventory

How do I add skills to a Business Intelligence Engineer resume?

Review the job posting closely.

Go through the Business Intelligence Engineer posting you're applying to, and identify hard skills the company is looking for. For example, skills like SQL, Talend and Business Intelligence (BI) are possible skills. These are skills you should try to include on your resume.

Add industry skills like Extract, Transform, Load (ETL) and SQL Server Reporting Services (SSRS).

Add other common skills from your industry - such as SAP BusinessObjects, Microsoft SQL Server and SQL Server Integration Services (SSIS) - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Business Intelligence Tools, MySQL and Oracle SQL Developer - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Highlight any software engineering or development experience.

Programming and software development are common skill sets for Business Intelligence Engineer roles, so try to highlight related accomplishments in your summary, work experience or skills sections.

Highlight data science skill sets.

Dealing with large data sets, cleaning them and uncovering business insights are important skill sets for a Business Intelligence Engineer.

Use the exact job title.

Try to add the exact job title, Business Intelligence Engineer, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Business Intelligence Engineer Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Business Intelligence Engineer job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Business Intelligence Engineer Skills and Keywords to Include On Your Resume

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Business Intelligence Engineer Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Entry Level Business Analyst

Resume Example
Technical Business Analyst

Resume Example
Senior Business Analyst

Resume Example
Agile Business Analyst

Resume Example
Human Resources (HR) Business Partner

Resume Example
Entry-Level Business Development Manager

Browse Skills from Similar Jobs

Frequently Asked Questions

What skills should you add to a Business Intelligence Engineer resume?

On top Business Intelligence Engineer resumes, skills like Business Intelligence (BI), SAP BusinessObjects, Extract, Transform, Load (ETL), SQL, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Talend and Microsoft SQL Server appear most often.

Depending on the exact role you're applying to, skills like Oracle SQL Developer, MySQL, Amazon Web Services (AWS), Business Intelligence Tools and QlikView can also be effective keywords to include on your resume.

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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