Hi everyone, happy Tuesday

DataAnalyst.com has now been live for just over 13 months, and we've brought over 1,890 hand curated data analyst jobs onto the site - all of them including a salary range.

There's now over 3,200 of you currently subscribed to the newsletter, and I can't thank you enough for your support and for joining us on the journey.

Over January, we've also had more than 10,000 unique visitors on the site, and over 13,000 job applications made - it's incredible to see how fast the site is growing.

Now, there are 3 things I'd like to share with you today.

1. Day in the Life of a Data Analyst with Gene
2. Day in the Life of a Data Analyst with Rennie
3. January 2024, Data Analyst job market summary

Hope you enjoy the read, and as always - please do share your ideas, thoughts and/or if you run across more bugs on the site.

If you've applied to a job and are in the interview process, wishing you good luck and please let me know how it goes!

Thank you,

Alex

P.S: I'm currently looking for data analysts open to share their career journey, so if you're up for an email based interview, please just hit reply, write couple of words about yourself and we'll organise something - would love to get you featured and share your experience with over 3,200 of our readers!

Day in a life of a Data Analyst, with Gene and Rennie

We brought you 2 more interviews to read, to learn from - with Gene and Rennie sharing extremely interesting journeys, with truly unique perspectives being offered in each case. I highly recommend reading all of them in full.

The real life evidence of achieving goals through determination, resilience and going one step further than most are willing to do.

Huge thank you to Gene and Rennie for taking the time, and sharing their experience!

Gene shares valuable insights into how data is being used in gaming companies‍

Honestly, this was an extremely entertaining and educating interview, that I can't really properly cover in a few paragraphs here, so let me provide a few bulletpoints that Gene covers:

• from a Marketing Data Analyst role, to Head of External Operations (through a change of business ownership due to a gambling founder)
• how is the role of an individual contributor different to the one of a leader
• various ways how data insights drive behaviours and profits in a gaming organisation
• turning his passion for lacrosse, into an app

It was a rollercoaster of a few years for Gene, but he also shares some of his advice about starting out, and how does building your own projects help during the recruitment process:

"If I were to give advice from this point in my career (between retirement at 32 and unretirement at 37), I would say to definitely do projects, use online certifications as a proof of concept and to make sure you like what you're doing. Do some projects for yourself, you'll put more care into them. Everyone can copy a project from a youtube tutorial, but if you can find something you're interested in, your results will usually be better than if it's just some project you need to do to get a job.

For example: hate dating? gather data about your data and break it down, expand on it. Like sports? do an analysis on your favorite team or player. Nobody really cares about logistics rates and times personally unless you own the company, do something you actually care about.

I can, however, give a bit of insight from the employer's perspective.

The things we looked for was results.

Can you do this? Can you do that? I don't really care what school you think you got some prestige from (if any), I don't care what you got on your gender studies exam. I'm worried about what you can actually do."

You can read the full interview with Gene, here.

How an internal survey helped Rennie land her Marketing Data Analyst role‍

As we've seen with multiple people already, the path toward the marketing data analyst role started internally within the organisation.

When the company launched a firm-wide initiative to understand upskilling potential, Rennie was selected for partnership to complete a data science programme, during which she learned python and used tools to create data visualizations.

It's after the completion of the programme, that she felt comfortable and confident enough to apply for data analyst roles, eventually leading her to her first data analyst role.

In the current role she works on major campaigns and brand partnerships with professional sports programs and non-profit organizations to increase membership growth and brand loyalty.

She shares her best advice for anyone interested in becoming a data analyst, and recommends a few things:

• Learn SQL, most jobs will require some type of querying experience in your everyday role. There are a lot of free or low-cost resources available such as W3schools, Coursera, Datacamp, Udemy, YouTube, etc.
• Learn a type of data visualization tool such as Excel, Power BI or Tableau. Excel and Power BI are free and easy tools to get creative and test your data visualization skills. I believe Tableau is discounted if you’re a student.
• Learn a scripting language such as Python or R programming. Some roles may or may not require this skill, but it’s always a good thing to have more skills and experience with it.

The big thing is practice, practice, practice. 😊  

Rennie also talks about and shares what the impact of using data insights in a financial organisation is:

"As a marketing data analyst, my team is using AI to understand member behavior. We’re able to use member insights to identify our member’s financial journeys and how to guide them to their financial wellness goals whether that means buying a home, car, saving for retirement, establishing credit, or just ways to get started. We’re able to use these insights and AI to create personalized member journeys to show our members we know them through data and want to provide them with the best products and services to help them succeed."


You can read the full interview with Rennie, here.

January 2024 - Data Analyst job Market Summary

As you're all used it it by now, we're utilising the data available to bringing you the 1st edition of Market Summary in 2024 - a deep dive into the data analyst job market, where we can have a look at the job openings and provide you all with insights on the latest hiring trends for the past month in the United States.

Which industries are hiring the most? Are we seeing any salary increases? And what about the remote working trend?

As a reminder, we also recently updated the data analyst salary guide which provides the overview of salaries in various industries - showing a more detailed view on each industry page, with a deep dive into how much entry level, senior and lead data analysts can earn depending on their experience, and across various states in the US.

Data Analyst job market summary for the United States

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