Data Analyst Job Offer —Data Analytics Articles Review
Reviewing two articles aligned to landing your first data analyst role and data analytics project that can help you get a data analyst job offer.
Your data analyst journey begins(if you’re a newbie) or began(if you are already a junior data analyst) with two magical words typed into your integrated development environment (IDE) IDE:
“Hello World!”
Or “Hello Python!”, if you are a #pythonista.
The world has never needed data professionals — data analysts, data visualization experts and data scientists like now. The amount of data generated per day is 2.5 quintillion bytes; the latter is equivalent to 10 million Blu-ray discs, which when stacked would be as tall as two Eiffel Towers combined.
As an aspiring data analyst who has been stuck in an endless loop of binge-watching tons of YouTube videos on:
As an aspiring data analyst who has been stuck in an endless loop of binge-watching tons of YouTube videos on:
- Introduction to python, R, SQL etc
- Full Bootcamp of a Data Analyst
- Roadmap of becoming a data analyst
- Ultimate roadmap of becoming a data analyst
- How to land your First Job as a Data Analyst
- …. Wait for it, you guessed it right — Ultimate Bullet Proof Ways of Landing Your First Data Analyst Role
Some of the videos provide useful information while others churn out mind-numbing repetition before hitting the nail on the head with the obvious — have a strong project portfolio, participate in data analyst internships and customize your resume.
This week I had the privilege of reading two articles focusing on:
- 7 things really worth focusing on to land a Data Analyst job
- Creating a project that will enable you get that data analyst job offer
- 7 Things Really Worth Focusing on to Land a Data Analyst job
The author, Andrea Leonel - Data Analyst, a data analyst, outlines 7 key things that are really worth putting your energy and focus on if you want to land a Data Analyst job. They include:
- Put a halt to taking courses — jump right into building your portfolio. Key takeaway: taking courses will have absolutely no impact in your ability to get a job
- Sign up for newsletters about data and the industry you want to work in. I am willing to bet an arm and a leg that the majority of data analysts and data scientists are familiar with Towards Data Science publication. If you are not, it is the ubiquitous medium publication for all things data science. It is the go-to titter blog for all data professionals; novice and seasoned professionals. Newsletters provide insights related to new developments in the data world, shiny tools and bite-sized insights that can help data analysts looking for job offers. Andrea echoes significance of newsletters in her job search:
This really helped me decide what types of jobs I wanted to apply for and gave me lots of pointers to bring up in interviews felt like interviewers were very impressed when I would bring up recent news or interesting concepts I had read about previously.
Dive in to learn more about the remaining five things needed to help you find your next data analyst job:
Link: 7 things really worth focusing on to land a Data Analyst job
2. Creating The Dashboard That Got Me A Data Analyst Job Offer
Your project is akin to proof of concept for a novel business idea or minimum viable product for a startup seeking funds during fundraising. It is your badge of honor proudly attached to your resume that subtly screams: “Hire me ASAP!”
Zack Quinn, the author of the article, provides a comprehensive and easy-to-follow walkthrough of the Udemy dashboard that got him a job offer in one of the biggest names in academic publishing.
Zack outlines four key steps that guided him in creating a dashboard. They include:
- Sourcing for data
- Analyzing the data using specific tools stack(Python & SQL)
- Visualization(Tableau)
- Data Storytelling
The key goal of the project entailed comparing factors that drove engagement for two of the most popular MOOC platforms: Udemy and Edx. He focused on four metrics:
- Search volume over time
- Pricing
- Completion rates
- Ratio of cost to content (i.e. I pay $20 for 10 hours of content)
Understanding a business problem is vital in defining the scope of the data analytics project, required data, data visualization needs(understanding the audience and their needs) and type of analytics to perform. The aforementioned statement is perfectly summed up by Zack:
Focusing my analysis on just a few specific metrics helped me create a concise and precise presentation that demonstrated to my interviewer I knew how to derive business value from several different data sources.
I enjoyed reading the thought-process behind selecting specific data, utilizing specific tools and the rationale of utilizing a certain color scheme.
I would recommend anyone looking to make a simple dashboard answering one or two business problems to use this template.
The final product is a dashboard comparing MOOC hosting platform Udemy to its rivals, MIT-affiliated Edx.
Read more about Zack’s process of creating a compelling and informative dashboard below:
Link:Creating The Dashboard That Got Me A Data Analyst Job Offer
Happy coding day. See you on the next review of two articles explaining important insights related to data.
