Wanna get it data analytics. I'm curious to know what a junior data analyst are assigned with and what are his/her role in the project.

I've noticed a lot of people here are saying that a job in data analytics isn't really an entry level position, and you usually have to have worked in another job for a while before moving to data analytics

In that case, what are good entry level jobs to go for that help you transition into data analytics? What are the jobs that you should go for right out of college (AKA entry level jobs) that will help you move into data analytics?

For reference, I got a degree in economics, and I'm looking for my first post college job.

Like topic, i am currently searching for a full time entry level data analyst job and was wondering if there are any successful job hunting in this kind of messed up job market? Thanks

I have a BSc in Computer Science and a Postgraduate certificate in Artificial Intelligence with Machine Learning. I'm proficient in Python, SQL, Power BI, Excel, and Machine Learning applications. I haveover 5 years of technical sales and technical support experience. Yet I applied to over 500 jobs in the last few months and heard back from 0 of them especially for data analyst roles. (I did get some interviews for some other roles but got rejected after a few rounds due to competition). Its been a humbling experience and at some point it starts to affect your self esteem.

I have a basic website where I showcased some of my works, power bi dashboards, articles I've written etc but from what I could tell its barely even visited despite me mentioning it in my resume.

Would appreciate advice from sr data analysts /scientists on how I can land a remote data analyst/scientist role perhaps entry level. My family relies on me for income and I got laid off last April.

Edit: I try to make my resume ATS friendly, used jobscan premium for a while for keyword matching but realized the cost was not bringing much return in results. So now I manually edit my resume even if it takes more time.

LinkedIn - I'm relatively active in networking. In the past few months was able to get 2-3 informational calls with professionals and recruiters. One of them from IBM even sent a referral link later but alas that still led to a rejection.

If any of my fellow redditors are open to referrals (if you see a fit of course) please send me a message and I'll share my resume/LinkedIn with you. Thank you🙏

Hi, I'm currently self studying to become a data analyst. Looking at the current situation with AI integration in the field, is it possible to get an entry-level job in 2024 and if it is, can you give me some tips on what should I do?

Despite my lack of technical knowledge, I have earned certifications in SQL and Python. Along with having finished the Coursera basic Google Data Analytics course and earning the Microsoft Power BI Data Analyst certification, I also have a rudimentary understanding of R and Tableau. I've applied to a number of companies in search of an entry-level data analyst position, but I haven't heard back yet. I wonder if the job market is simply slow at the moment or if my skill set is lacking.

Hi everyone,

I don't know if it is just me or i searched on the wrong job board but whenever i am trying to find like entry level position or internship in the data analytic field there isn't rly "entry" level job. most of them required like 2+ years of experience in analytic field.

so i was wondering how did u guys find the entry level data analyst position? like website...etc. Thanks in advance.

I will add context first here by saying I have several years of "Trust and Safety" where we do sort of utilize data analysis techniques in our daily work, but its mostly entry and generating insights.

But I want to become a proper data analyst and have heard that I can learn my skills from Certifications since I already have a bachelor's degree (in English so I know it won't help lol).

I would appreciate any guidance or advice on where can I start becoming a data analyst from having practically 0 experience and whether or not any certificates are worth it (am currently working on Google coursera data analyst courses).

Thank you!

I'm currently working at a small company as part of the tech team, where my main responsibilities include data entry and producing Energy Performance Certificates. While this role isn’t directly related to data analysis, I’ve decided to transition into the field and have recently handed in my six-week notice.

I have a degree in Economics and have been dedicating my free time to learning SQL and Python. I’d consider myself at an intermediate level in Excel, and I’ve also completed a couple of personal projects, which I’ve added to my CV.

However, I’ve noticed that entry-level data analyst jobs seem to be quite scarce here in Brighton and even in London. If anyone has advice on how to break into the industry—whether it’s job-hunting strategies, networking tips, or skill development—I’d really appreciate your insights!

Thanks in advance! 😊

Just like the title, I’m curious what the day to day looks like for those of you in entry level/junior data analyst roles. What is the balance between time spent on excel vs sql? How much data entry vs actual analysis work? Any other duties that I haven’t mentioned?

I finished my B.Tech - IT in 2014. In US now. wanted to try analytics so I did Google data analytics certification and practiced for some time, built a basic portfolio. I also did a aws certification. Applied for internships and entry level jobs. Around 200. Got answer from 1. But didn’t get through. I had to stop and take a break. All my friends say that entry level roles don’t exist anymore. I gave up for a year and now I regret. I know I should do some professional certifications, build a strong portfolio and work on interview skills. But is that enough? I see some posts about people working as a data analyst in non profit. How do I find job openings in non profit? I need some genuine help. Sometimes I feel like I’m going insane for even trying. People who were in my situation pls tell me how you did it with a long gap, no job experience.. thank you!

Is it possible to get an entry level data analyst role as a college student if I do the Google Data Analytics certification and self study on my own within 6 months? Edit: (And before y'all say "Wait until you get your degree) dude, that's 4 whole years we're talking. Shouldn't I be able to get this role after like 1 year of experience? Also! I just enrolled in the Google Data Analytics certification :)

I’ve been seeing a lot of people trying to get into data analytics lately, and I keep hearing mixed opinions about the job market.

Some say it’s super hard to land an entry-level position because there are too many new graduates and bootcamp students. Others say even senior analysts are finding it tough due to hiring freezes or companies cutting back on analytics roles.

From your experience, is the market mainly saturated at the beginner level, or is it competitive for senior-level analysts as well? Would love to hear your perspective — especially from people currently working in the field.

If so, How was your resume like? Did you have experience?

Hey all! This is my first post in this sub, but I have been on here for a good while trying to gain as much information as I possibly can for my own data analysis journey. I wanted to share how I went from being a health coach with absolutely no data analytics experience to becoming a data analyst in under a year. I would like to first start by saying that this by no means is an end all be all track for getting you a data analyst position. Everyone's story is different and it takes a lot of hard work and a lot of hours outside of my previous full time job to be able to get to where I am today.

Background:

I graduated from Purdue University with a degree in Kinesiology in 2019. I began working as a health coach right out of college making $37,500 per year. With this being the only income in my household for a year or so it was definitely tough to save money, but it was a job and I expected there to be plenty of opportunities for advancement considering I was good at my job and I like to push for advancement as soon as I feel comfortable. Unfortunately, this company provided virtually no opportunities to advance as promised so I was stuck in an endless cycle of getting a 2-3% raise every 6 months and making virtually no progress in my career. Needless to say I realized that health coaching wasn't going to be a sustainable career if I was going to be able to provide not only for myself, but also for the family I was hoping to raise long term. I began looking into other avenues I could explore such as PT, OT, Sports management, data analytics, etc. and decided on data analytics as something I felt would compliment my strengths well.

Steps Taken:

Since I had no experience I decided that grad school would be a good way to not only get some experience under my belt, but also to get something tangible on my resume. The problem here was that I severely underperformed in my undergrad to the tune of a 2.4 GPA. This wasn't going to get me into any reputable analytics program so I had to go back to Purdue, retake 2 full semesters worth of classes, work my ass off, and get my GPA up to a 3.2. I did this in the fall of 2020 and spring of 2021. After taking that time to reset my academic standing, I started applying to grad school. I ended up getting into the University of Mississippi in their Data Analytics master's program which I started in January of 2022.

Since I knew I was going to have about 5 months before my grad program was going to start, I decided to take some Udemy/Coursera courses on my own to get a solid baseline knowledge of coding under my belt. I took a course on SQL (https://www.udemy.com/course/the-ultimate-mysql-bootcamp-go-from-sql-beginner-to-expert/) and the Google Data Analytics Coursera course (teaches SQL, Tableau, and Excel basic/intermediate skills) which I felt gave me a super strong foundation going into grad school. In my first semester in grad school I also learned R programming, Machine Learning Basics, Statistical Modeling, and Predictive analytics which only served to compliment what I had already learned before starting grad school. After my first semester was over I decided it might be worth it to start applying for jobs. I was able to land an interview with a company in California that was starting a data analyst training program and wanted to higher people at an entry level to learn the ins and outs of working as a data analyst for their company. I didn't end up getting the job, but it was invaluable experience finding out what data analyst interviews look like, and what coding challenges can include. After not getting this job I realized that I needed to have some more projects on my resume and that it might be worth it to create my own website. I started following this guy's Youtube channel because I felt like he had a lot of great advice and he even provided some code-along projects that he said would look great on a resume/portfolio ( https://www.youtube.com/c/AlexTheAnalyst). Not only did he provide portfolio projects, but he also went more in depth on SQL, Tableau, and Excel which taught me more than I already knew about the three tools. He also gives you a great resource and teaches you how you can set up your own website using html5up.net and github pages to display your own work. Here's his if you would like to see an example: https://alextheanalyst.github.io/.

Results:

Within a month of having this website up and applying to numerous jobs I received a call about an interview for a data analyst position I didn't even remember applying for because I had probably submitted around 50-100 applications in the months of May-July. They had me do a virtual interview and the very next day offered me my first job as a data analyst where I would be getting paid $75,000 as my starting salary. This all happened before I even finished my grad degree which I will obtain in May of 2023.

My 2 Cents:

Like I said earlier, this might not be a process that works 100% of the time for everyone. I just wanted to share my story because I know how encouraging it was for me to read other's similar to mine when I was going through the process of submitting application after application over the summer. It is a grind and it can feel like you're going the wrong direction at times (and who knows maybe data analytics won't end up being for you), but keep pushing and don't sell yourself short. I was an inch away from simply accepting a contract to hire job because I was feeling desperate about getting my first job. They were going to relocate me to a location not of my choosing and couldn't guarantee I would get a job but boasted such a strong success rate I thought maybe that was going to be my route to take.

Another thing I want to mention is that the job I ended up getting said that they wanted 3+ years of experience. I know that most every entry level job posting for data analytics says virtually the same thing which is ridiculous, but I was able to get the job I have now with less than 1 year of experience under my belt. Part of the reason for that was because I was super confident in my soft skills. If you have a semi-decent personality, can sell yourself well in an interview, and can get comfortable having conversations with hiring managers that will take you such a long way. The VP of the department I'm in now who was in on my interview said that they hired me because they knew I had a solid foundation, but mostly because they could tell that I was going to fit in well with the team. She said to me verbatim: "We know you might not know everything to succeed in this job right away and that's okay. We hired you because we could tell you were a good person, would fit in well with the team, and had a strong desire to learn. We can teach you the hard skills, but the soft skills are invaluable."

I know not every organization is going to have that mindset, but any company with good upper leadership will so if you can market yourself well even with a little bit of experience I think you will see yourself take that next step in your data analytics journey sooner than you think.

I really hope this serves someone well, and that it's an encouragement to so many of you who are looking for a job right now because it can be an absolute grind to find that first job. If you guys want to reach out to me, dm me, whatever you're more than welcome to and I can offer any advice that I do have or point you in some directions that I went to learn what I did to get this first job.

Best of luck!!

Hi Reddit,

I'm not 100% sure this is the best place for this question but thought it'd be worth a shot.

My wife has been looking for a Data Analyst position for several months. She does not have prior experience in any tech roles and is transitioning from being a High School math teacher.

I'm sure many of you can imagine how difficult it is to switch careers, and I'd like to see if anyone in the industry has some advice on how someone with no prior experience can maximize their chances of getting an interview for an Associate Data Analyst position.

Below are some of the things she has tried thus far:

1. Obtained a Master's Degree in Statistics

2. Worked on basic prjects for her portfolio in Codecademy/Github

3. Taken courses on things like SQL, Python, Tableau

4. Tailored her Resume to include keywords recruiters would look for based on the average Data Analyst position

5. Set up alerts for Data Analyst on popular sites (Indeed, LinkedIn, Glassdoor, etc.)

6. Attempted to leverage personal connections with tech friends

7. Attended job fairs

I'm biased of course but I am 100% certain she is going to be able to knock this out of the park if she can just get some interviews. Does anyone have a suggestion on something we may not have thought of? How can she stand out to recruiters without having X years of experience in the field already?

I’m looking to break into data analytics and want to make sure I’m focusing on the right skills. What are the must-have technical and soft skills for an entry-level data analyst role?

Also, how proficient do I need to be in tools like SQL, Python, Excel, and Tableau? Should I focus on certifications, portfolio projects, or both?

Any advice from those already in the field would be greatly appreciated!

Hello all, find time posting on this thread. I graduated last May with a degree in Business Information Technology after years of technical support and customer service jobs. I have spend the last five months trying to pivot into data analytics and I am having a hard time. I am in the process of completing the Google data analytics certificate course and have my degree of course, but it doesn't seem to be enough for an entry level job. Most "entry level" jobs are requesting at least 2-5 years of experience. I don't get it. I'm in the process of creating a github page to add to my resume with a couple of projects to show my skills but other than that, I don't know what to do. I'm even considering getting my MBA/ masters in Data Engineering to see if that would help, but that's not gonna help me get money right now. Any ideas you guys have would be greatly appreciated

The question might seem stupid but I’m genuinely asking and i hate going to chatgpt for everything. I’ve been seeing a lot of job posts titled data scientist or data analyst but the job requirements would say tech thats related to data engineering. At first I thought these 3 positions were separate they just work with each other (like frontend backend ux maybe) now i’m confused are data analyst or data scientist jobs considered entry level to data engineering? are there even entry level data engineering jobs or is that like already a senior position?