Data Integration Analyst Resume Example & Writing Guide

Use this Data Integration Analyst resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

Data integration analysts play a critical role in the data-driven world we live in today. They’re responsible for taking large amounts of data from various sources—like databases or spreadsheets—and combining them into one cohesive set.

Data integration analysts often work with large volumes of data that need to be organized and made accessible across an organization. They might help create a master customer database that contains all the information needed to create targeted marketing campaigns, or they could work with financial data to help create reporting tools that give managers insight into their company’s performance.

Data integration analysts use a variety of tools to accomplish their goals, including scripting languages like Python or JavaScript, relational databases like SQL Server or Oracle, and ETL tools like Informatica or Talend. They also need to have strong analytical skills and the ability to identify patterns in large sets of data.

Here are some tips and an example to help you write a data integration analyst resume that will impress hiring managers.

David Moore
New York City, NY | (123) 456-7891 | [email protected]

Data-driven analyst with over six years of experience in data warehousing and business intelligence. Proven ability to collect, cleanse, and consolidate data from disparate sources to support decision-making. seeks to leverage skills and experience in a data-focused role within a growing company.

University at Buffalo Jun '10
B.S. in Mathematics
University at Buffalo Jun '12
M.S. in Applied Mathematics
Company A, Data Integration Analyst Jan '17 – Current
  • Developed ETL processes to ingest data from multiple sources into a centralized database and transformed the data for downstream use in reporting dashboards.
  • Designed, developed, tested, deployed, and maintained ETL jobs using open source tools such as Apache NiFi and Python scripting language.
  • Analyzed business requirements to determine appropriate solutions and collaborated with stakeholders across departments to ensure proper understanding of project scope.
  • Provided technical expertise on projects related to data integration or analysis tasks including design decisions, implementation strategies, etc..
  • Participated in cross-functional teams (e.g., infrastructure) that are responsible for designing and implementing new systems or enhancements to existing ones.
Company B, Data Integration Analyst Jan '12 – Dec '16
  • Created a data warehouse to centralize all company information, including customer and sales records
  • Developed an automated system for tracking leads that increased the number of qualified sales prospects by 15%
  • Analyzed business processes and developed solutions to improve efficiency in daily operations (i.e., workflow)
  • Conducted research on emerging technologies and recommended new tools or techniques when appropriate
  • Collaborated with other departments to identify opportunities for process improvement through analysis of existing systems
Company C, Data Analyst Jan '09 – Dec '11
  • Conducted data analysis to identify trends and relationships in data sets to support business decision making.
  • Created data visualizations to communicate complex data sets in an easily digestible format for business users.
  • Developed and maintained data reporting systems to track key performance indicators and support business operations.

Industry Knowledge: SQL, Oracle, SAP, Informatica, DataStage, Tableau, Power BI, Business Intelligence, Business Analytics
Technical Skills: Microsoft SQL Server, Oracle, SAP, Informatica, DataStage, Tableau, Power BI, Business Intelligence, Business Analytics
Soft Skills: Communication, Teamwork, Attention to Detail, Problem-Solving, Decision Making, Leadership

How to Write a Data Integration Analyst Resume

Here’s how to write a resume of your own.

Write Compelling Bullet Points

When you’re writing bullet points, it can be tempting to focus on the tasks you performed. But that’s not always the most effective approach.

Instead, you can use your bullet points to showcase your key accomplishments. So rather than saying you “analyzed data,” you could say you “analyzed data to identify opportunities for cost savings of over $1 million per year.”

The second bullet point paints a much clearer picture of what you did and the results of your work. And that’s what hiring managers want to see!

Identify and Include Relevant Keywords

When you submit your resume for a data integration analyst role, it’s likely that it will be scanned by an applicant tracking system (ATS) for certain keywords. This software looks for certain terms related to the job, like “data mapping” or “ETL” in order to determine whether you have the skills they’re looking for. If your resume doesn’t have enough relevant keywords, the ATS might not forward it to a recruiter.

To make sure your resume makes it past the ATS, use this list of keywords as a starting point and add them throughout your document:

  • Extract, Transform, Load (ETL)
  • Data Warehousing
  • SQL
  • SQL Server Integration Services (SSIS)
  • SQL Server
  • Informatica
  • Oracle Database
  • Tableau
  • Data Integration
  • Requirements Analysis
  • Data Analysis
  • Databases
  • Oracle SQL Developer
  • Microsoft SQL Server
  • Business Intelligence (BI)
  • Data Modeling
  • Databases Integration
  • Requirements Gathering
  • Software Development Life Cycle (SDLC)
  • IBM Db2
  • Apache OBIEE
  • Microsoft Power BI
  • MongoDB
  • Big Data
  • Python (Programming Language)
  • Git
  • Linux
  • Business Analysis
  • Splunk
  • Datastage

Showcase Your Technical Skills

As a data integration analyst, you need to be proficient in a variety of software programs and systems in order to effectively do your job. This might include data management software, data mining software, data modeling software, and data visualization software. Additionally, you need to be familiar with big data concepts and platforms, such as Hadoop, Hive, and Spark.

Recruiters are looking for data integration analysts who have a solid understanding of data and how it can be used to solve business problems. They also want to see that you have experience working with a variety of software programs and systems. So if you have experience with any of these programs or platforms, be sure to list them on your resume.


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