Data Analytics Project Manager Resume Example & Writing Guide
Use this Data Analytics Project Manager resume example and guide to improve your career and write a powerful resume that will separate you from the competition.
Data analysts and data scientists use their knowledge of statistics and analytical thinking to analyze data and identify patterns, trends, and other useful information. Data analysts tend to focus on identifying opportunities and solving problems with data while data scientists tend to focus more on building new products and services using data-driven solutions.
As a data analyst or data scientist, you’re probably used to working with large volumes of data. But when it comes time to write your resume, it can be challenging to figure out how to present all that information in a way that’s both impactful and concise.
Follow these tips and example resume to write a data analytics project manager resume that hiring managers will love.
How to Write a Data Analytics Project Manager Resume
Here’s how to write a resume of your own.
Write Compelling Bullet Points
When it comes to data analytics project management, it’s important to demonstrate your ability to manage large, complex projects. And the best way to do that is by using specific examples from your past work.
So rather than saying you “managed projects,” you could say that you “managed $10M data analytics project for major retailer, ensuring on-time delivery of 200+ reports and data sets for more than 200 users.”
Notice how the second bullet point is much more specific and provides more detail about the project itself as well as the outcome? That level of detail will help hiring managers understand how well you can manage large projects and whether you’re the right fit for their organization.
Identify and Include Relevant Keywords
When you apply for a data analytics project manager role, your resume is likely to be scanned by an applicant tracking system (ATS) for certain keywords. ATS programs rank resumes based on the number of relevant keywords that are found in the job description. If your resume doesn’t include enough of the right keywords, your application might not make it past the initial screening process.
To increase your chances of getting an interview, use this list of keywords as a guide when writing your resume:
- Data Analytics
- Tableau
- Data Science
- Python (Programming Language)
- Machine Learning
- SQL
- R (Programming Language)
- Analytics
- Databases
- Microsoft Power BI
- Data Visualization
- SAS
- Data Mining
- SQL Server
- Business Analysis
- Statistical Modeling
- Business Intelligence (BI)
- Git
- JavaScript
- Microsoft SQL Server Reporting Services (SSRS)
- Data Modeling
- Big Data
- Data Warehousing
- Analytics Project Management
- Data-Driven Decision Making
- Requirements Analysis
- Business Analytics
- Software Development Life Cycle (SDLC)
- Data Science Tools
- Tableau Software
Showcase Your Technical Skills
As a data analytics project manager, you will be responsible for overseeing the development and implementation of data analytics projects. This will require you to be proficient in a variety of software programs and systems, including data mining, machine learning, and modeling. Additionally, you will need to have a solid understanding of big data concepts and platforms like Hadoop, Hive, and Spark.
In order to be successful in this role, you will need to have strong technical skills. Be sure to list any relevant programs, systems, and methodologies that you are familiar with on your resume. Indicating your level of expertise for each will show potential employers that you are a valuable asset.