Data Warehouse Analyst

Data Warehouse Analyst Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Data Warehouse Analyst 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
  • Data Warehousing
  • Extract, Transform, Load (ETL)
  • SQL
  • SQL Server Integration Services (SSIS)
  • Business Intelligence (BI)
  • Data Modeling
  • Requirements Analysis
  •  Find out what your resume's missing
  • Microsoft SQL Server
  • PL/SQL
  • Software Development Life Cycle (SDLC)
  • Business Analysis
  • Databases
  • SQL Server Reporting Services (SSRS)
  • Oracle Database
  • SAP BusinessObjects
  • Tableau
  • Informatica
  • Microsoft Power BI
  • Requirements Gathering
  • Transact-SQL (T-SQL)

  •   Show full list

Resume Skills: Database Tools

Resume Skills: Programming

Resume Skills: Big Data

Resume Skills: Data Analysis Tools

Resume Skills: Data Visualization Tools

Resume Skills: Data Warehousing Tools

  • SQL
  • ETL
  • OLAP
  • Informatica
  • Microsoft SSIS
  • Oracle Data Warehouse
  • IBM Infosphere
  • Teradata
  • SAP BW
  • Oracle Warehouse Builder
  • Xplenty
  • Microsoft HDInsight
  •  Match your resume to these skills
  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 Data Warehouse Analyst 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 Data Warehouse Analyst 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.

Select a free resume example
Your Name
Data Warehouse Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE August 2018 - Present
Senior Data Warehouse Analyst
Championed a complete restructuring of the BI process using SQL Server Integration Services (SSIS), leading to an improved data accuracy by 30%
Conducted detailed requirements analysis and data modeling to streamline ETL processes, reducing process run time by 40%
Devised new data warehousing strategies with Microsoft SQL Server, boosting storage efficiency and saved up to $15K annually
Leveraged Tableau for data visualization in business meetings, effectively influencing data-driven decision making
Facilitated cross-functional teams for database projects, ensuring data accuracy and consistency while adhering to the Software Development Life Cycle (SDLC) standards
IBM March 2015 - July 2018
Data Warehouse Analyst II
Utilized SQL and PL/SQL to manage complex database queries, speeding up data extraction processes by 25%
Managed extraction, transformation and loading (ETL) of data using SSIS, enhancing data integration within systems by 35%
Utilized SQL Server Reporting Services (SSRS) to generate real-time reports for key stakeholders, improving business strategy alignment
Spearheaded a team in the implementation of a data warehousing project, achieving the project goals 2 months ahead of schedule
Resume Worded January 2013 - February 2015
Junior Data Warehouse Analyst
Performed regular database management using T-SQL, ensuring optimum performance and reduced downtime by 20%
Implemented automation scripts for routine checks using PL/SQL, saving approximately 10 hours of manual labor per week
Contributed to a data migration project, assisting in the seamless transfer of 1TB of data with zero data loss
Resume Worded University June 2015
Master's in Database Management and Data Warehousing
Emphasized on Data Warehousing Techniques and Tools
Resume Worded Academic Center May 2013
Bachelor of Science in Computer Science
Received Distinction in Data Structures and Algorithms
Big Data Analytics and Machine Learning coursework
Database Tools: MySQL, SQL Server, Oracle Database, OLAP, ETL Tools, Microsoft Excel
Programming Languages: Python, SQL, Java, C++, Shell Scripting, MATLAB
Data Visualization Tools: Tableau, Power BI, QlikView, Matplotlib, Seaborn
Big Data Technologies: Hadoop, Apache Spark, Hive, Pig, Apache Cassandra
Certifications: Oracle Certified Professional (OCP), AWS Certified Big Data Specialist (2020)
Attendance: Big Data & Data Science Conference 2019
Driven Conferences: Panelist at Resume Worded's Annual Data Symposium 2022
Training & Development: Facilitated an organization-wide training session on 'Effectively Using ETL Tools' at
Your Name
Data Warehouse Developer
City, Country  •  (123) 456-789  •  [email protected]  •
Microsoft April 2019 - Present
Lead Data Warehouse Developer
Established data warehousing solutions utilizing Microsoft Power BI and increased the data processing speed by 40%
Oversaw a team of five, executing the development and management of a database system handling 500+ TB of data
Led a mission-critical project to migrate systems to Oracle databases, resulting in a 25% increase in system uptime
Implemented stringent data quality checks and controls, reducing data inconsistency issues by 30%
Integrated ETL functionalities with SAP BusinessObjects, streamlining the Business Intelligence process and increasing productivity by 20%
Resume Worded December 2016 - March 2019
Senior Data Warehouse Developer
Developed a comprehensive data management system using PL/SQL, reducing data redundancy and saved costs by 30%
Drove the execution of data warehousing projects using SSIS, reducing the data processing time by 35%
Managed robust ETL processes using Informatica, enhancing the data extraction speed by 40%
Used Business Analysis techniques to gather user requirements, improving end-user satisfaction by 30% June 2014 - November 2016
Data Warehouse Developer
Used SQL extensively for in-depth data analysis, streamlining the decision-making process
Managed the business requirements gathering process, enhancing the data warehousing project outcomes
Developed specific reporting solutions using SSRS, facilitating quicker business decisions
Resume Worded University May 2014
Master of Science - Data Science
Recipient of Data Science Excellence Award, Top 5% of Class
Resume Worded Academic Center December 2012
Certification in Advanced Data Mining
Part-time Certification alongside work at
Data Warehousing Tools: SQL, ETL, OLAP, Informatica, Microsoft SSIS, Oracle Data Warehouse
Programming Language: Python (Advanced), R (Intermediate), Java (Basic)
Big Data Technology: Hadoop, Apache Hive, Spark, MapReduce, Pig
Database Systems: Oracle, MySQL, PostgreSQL, Microsoft SQL Server
Projects: Developed data warehousing solutions for complex business problems achieving 50% efficiency increase
Certifications: Tableau Desktop Qualified Associate (2019), Microsoft Certified: Azure Data Engineer Associate (2021)
Volunteering: Mentor at Code for Everyone, teaching students basics of programming and data science
Publications: Published research on 'Enhancements in ETL Process' in International Journal of Data Mining & Knowledge Management Process
Your Name
Business Intelligence Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE May 2017 - Present
Senior Business Intelligence Analyst
Developed and operationalized BI dashboards using Power BI and SAS, speeding up data reporting by 45%
Conducted comprehensive requirements analysis, improving project delivery times by 30%
Leveraged Tableau for in-depth data analysis, resulting in 20% more accurate sales predictions
Led initiatives to integrate Databases with SQL Server, improving data retrieval speeds by 35%
Guided a team of 4 junior analysts, developing their SQL scripting skills and increasing team productivity by 25%
Amazon January 2014 - April 2017
Business Intelligence Analyst II
Employed SQL Server and T-SQL for efficient data management, reducing data discrepancies by 30%
Facilitated ETL procedures using Informatica, streamlining data transfer and saving manpower hours
Utilized SSIS for data migration projects, ensuring zero data loss and increased system efficiency
Resume Worded August 2012 - December 2013
Junior Business Intelligence Analyst
Managed database queries using PL/SQL, enhancing system productivity
Participated in the development of BI strategies, contributing to a 15% increase in team effectiveness
Created custom reports using SSRS, providing insightful data to key decision-makers
Resume Worded Academic Center May 2017
Master of Business Administration (MBA) - Business Intelligence
Thesis: Strategic Use of Business Intelligence in E-commerce
Resume Worded University July 2012
Bachelor of Science - Data Science
Minors in Business and Information Systems
University Honors Scholar
Data Analysis Tools: Tableau, Power BI, Excel, SPSS, SAS, Looker
Programming: Python, SQL, R, Java, C++, MATLAB
Big Data: Hadoop, Spark, Hive, Kafka, Pig
Database Management Systems: MySQL, Oracle, SQL Server, PostgreSQL
Certifications: Certified Business Intelligence Professional, Tableau Certified Associate
Projects: Developed a scalable data warehouse using Google BigQuery for a leading E-commerce company
Awards: Amazon's Exceptional Performance Award (2016),’s Most Valuable Employee (2019)
Publications: Published 'Business Intelligence in E-commerce' in 'Data Science Journal' (2017)
Your Name
Data Warehouse Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Amazon January 2021 - Present
Senior Data Warehouse Specialist
Streamlined Data Warehousing processes by implementing an innovative SQL Server Integration Services (SSIS) approach, reducing data loading time by 45%
Led a cross-functional team in the design and implementation of a robust Oracle database, improving data reliability by 35%
Applied PL/SQL to create comprehensive ETL processes, which was instrumental in enhancing data extraction efficiency by 52%
Utilized rigorous Agile methodologies in the SDLC leading to a quicker product rollout time by 15%
Pioneered the use of Informatica to manage the data warehouse, increasing data accuracy by 30%
Microsoft January 2018 - December 2020
Data Warehouse Specialist
Played a pivotal role in integrating SAP BusinessObjects for advanced data reporting, resulting in a 20% boost in business intelligence effectiveness
Led the development and launch of new SSRS protocols, directly reducing report processing time by 30%
Implemented a data model resulting in more efficient ETL operations, accelerating the data transformation process by 25% March 2015 - December 2017
Data Warehouse Analyst
Performed extensive Business and Requirements Analysis, leading to improved data quality by 18%
Used UNIX-based tools to manage databases, which improved data retrieval efficiency by 20%
Championed an upgrade in Hadoop clusters resulting in improved data processing by 15%
Resume Worded Academic Center May 2015
Master of Science in Data Analytics
Specialization in Data Warehousing
Resume Worded University June 2012
Bachelor of Science in Computer Science
Emphasis on Database Management Systems
Awards: Resume Worded Excellence (Top 5% in department)
Programming: Python, SQL, JAVA, C++
Data Warehousing Tools: Oracle, SAP, Microsoft SQL Server, Amazon Redshift, Azure SQL Data Warehouse
ETL Tools: Informatica, Talend, AWS Glue, IBM DataStage
Analytical Tools: QuickSight, Looker, Tableau, Power BI
Certifications: Microsoft Certified: Azure Data Scientist Associate (2023), Oracle Data Warehousing Certification
Projects: Developed a data warehousing solution for a local NGO to manage donor data, resulting in a 20% increase in fundraising efficiency
Publications: Authored a series of articles on 'Harnessing the Power of Data Warehouses' in Data Analytics Weekly
Volunteering: Tech Mentor at Local High Schools Annual Coding Bootcamp
Your Name
Data Management Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Google February 2022 - Present
Senior Data Management Specialist
Spearheaded the transformation of a legacy database system to modern Oracle database, slashing data redundancy by 35%
Masterminded SQL Server Reporting Services (SSRS) for advanced data reporting, increasing data analysis efficiency by 50%
Deployed rigorous ETL processes via Informatica software, leading to improvement in data integration by 40%
Resume Worded April 2019 - January 2022
Data Management Specialist
Developed PL/SQL scripts for efficient data extraction, decreasing data extraction time by 55%
Managed the Software Development Life Cycle (SDLC) employing agile methodologies, which fast-tracked product releases by 15%
Implemented SAP BusinessObjects, resulting in a boost in business intelligence performance by 20%
IBM June 2016 - March 2019
Data Management Analyst
Conducted comprehensive Requirements Analysis leading to the implementation of a more robust data model, reducing data inconsistencies by 23%
Managed UNIX-system databases, which boosted data retrieval efficiency by 28%
Played a key role in the update of the Hadoop clusters thereby, improving data processing efficiency by 18%
Resume Worded Institute May 2016
Master of Science in Data Science
Thesis: 'Efficient data management: strategies and solutions'
Recipient of Academic Excellence Award for top project score in cohort
Resume Worded University May 2014
Bachelor of Science in Computer Science
Minor in Statistical Modeling
Received Dean's List recognition three consecutive years
Data Management: Microsoft SQL Server, Oracle Database, IBM DB2, Teradata, DataStage, Informatica
Programming: Python, R, SQL, Java, C++, MATLAB
Data Analysis: Tableau, R programming, SAS, SPSS, MongoDB, Excel
Big Data Tools: Hadoop, Hive, Spark, Pig, Apache Kafka
Certifications: Certified Data Management Professional, IBM Certified Data Architect - Big Data
Awards: Employee of the Year (Resume Worded, 2020)
Publications: Co-authored 'Data Management for Dummies' published by Wiley (2017)
Volunteering: Mentor at Tech For Good, a nonprofit encouraging technological solutions to social issues
Your Name
Data Architect
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2022 - Present
Senior Data Architect
Orchestrated the development of an Oracle database from scratch, which improved data integrity by 40%
Launched robust ETL processes using SQL Server Integration Services (SSIS), enhancing data load speed by 38%
Revolutionized business intelligence methods by integrating SAP BusinessObjects, resulting in a 25% increase in data visualization capabilities May 2018 - February 2022
Data Architect
Fostered Agile methodologies across SDLC, fast-tracking product development lifespan by 16%
Engineered a Data Modelling initiative which enhanced accuracy in data transformation by 33%
Pioneered the configuration of comprehensive Informatica data warehouse aiding in a 20% rise in data accuracy
Cisco January 2015 - April 2018
Data Modeler
Implemented Hadoop clusters, accelerating big data processing by 20%
Curated vast databases on a UNIX system, contributing to a 18% improvement in data fetching efficiency
Developed a thorough Requirements Analysis approach, resulting in a 15% enhancement in Business Intelligence capabilities
Resume Worded University December 2014
Master of Science - Data Science
Varsity member of the University Data Science competition team.
Resume Worded Institute May 2012
Bachelor of Engineering - Computer Science
Minors in Mathematics and Artificial Intelligence
Awards: Resume Worded Academic Excellence Scholarship, Dean's List 2011
Data Technologies: MySQL, Oracle, DB2, SQL Server, MongoDB
Data Modeling Tools: ER/Studio, PowerDesigner, ERwin
Big Data Tech: Hadoop, Spark, Hive, Pig
Programming: Python, R, Java, Bash
Certifications: Amazon Web Services (AWS) Certified Big Data, Google Cloud Certified - Professional Data Engineer
Projects: Developed a Database Rationalization project leading to 30% operational cost savings.
Publications: Authored a research paper published in the 'Journal of Data Science' titled 'Emerging Trends in Data Architecture'.
Volunteering: Mentor at 'Girls Who Code' nonprofit organization

How do I add skills to a Data Warehouse Analyst resume?

Review the job posting closely.

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

Add industry skills like Microsoft SQL Server and Data Warehousing.

Add other common skills from your industry - such as Data Modeling, Extract, Transform, Load (ETL) and Requirements Analysis - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Informatica, Requirements Gathering and Tableau - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Data Warehouse Analyst resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Show your ability to analyze data.

In your Data Warehouse Analyst resume, show evidence of where you worked with and analyzed data of all formats, whether they're surveys, spreadsheets or databases. We've highlighted examples in the infographic for reference.

Use the exact job title.

Try to add the exact job title, Data Warehouse Analyst, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Data Warehouse Analyst Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Data Warehouse Analyst 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 Data Warehouse Analyst Skills and Keywords to Include On Your Resume

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Data Warehouse Analyst 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 Data Analyst

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Marketing Data Analyst

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Financial Data Analyst

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Senior Data Engineer

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Big Data Engineer

Browse Skills from Similar Jobs

Frequently Asked Questions

What skills should you put on a Data Warehouse Analyst resume?

Here are some of the most popular skills we see on Data Warehouse Analyst resumes:

  • Data Warehousing
  • Extract, Transform, Load (ETL)
  • SQL
  • SQL Server Integration Services (SSIS)
  • Business Intelligence (BI)
  • Data Modeling
  • Requirements Analysis
  • Microsoft SQL Server

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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