r/dataanalysiscareers

Is data analytics a career anymore with AI?

I've been wondering if being a data analyst is still a career in 2026..you can just use AI to clean your data and build all of your reports right? Why would there be a need for a DA to do that stuff manually?

I watched this video the other day where the guy talks about how entry level roles in DA and Data Engineering are down 14% .. which is more then any other role in tech.

As for myself, I've been in IT wanting to change domains having some experience building a report with python and excel. I'm being told its pointless at this point in time and I should instead focus on agentic AI and vibe coding.

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u/SynapticSignal — 4 days ago
▲ 19 r/dataanalysiscareers+1 crossposts

17 Months Unemployed and Still Trying ,Looking for a Data Analyst Opportunity or Referral

Hi everyone,

I'm writing this with a lot of hope because, honestly, I don't know what else to do at this point.

I've been job hunting for 17 months, and my financial situation has become really bad. I'm the elder daughter in my family, and supporting my family is a responsibility that's extremely important to me. I genuinely need to find a job, and the longer this goes on, the harder things are becoming for us.

I previously worked for a year at a company that eventually shut down. We weren't paid our salaries for the last 4–5 months, and ever since then, I've been trying to find another job. I've applied to countless openings, reached out to recruiters and professionals, and actively messaged 250+ people on LinkedIn looking for guidance, opportunities, or referrals.

Unfortunately, I've received very little help so far. Most of the time, it's rejection emails, and in many cases, I don't hear back from companies at all. I've kept trying, improving my skills, and building projects to demonstrate my abilities, but despite all these efforts, I'm still unemployed.

This situation has taken a serious toll on me mentally and emotionally. My financial circumstances are extremely difficult, and I need to start earning so I can support my family. As the elder daughter, this isn't just about finding a job for myself; it's also about being able to contribute to my family's needs.

Honestly, this post feels like one of my last hopes of finding an opportunity. I'm not asking anyone to hand me a job without evaluating my skills. I'm just asking for a chance to be considered and prove that I can do the work.

Projects I've worked on

  • Retail Sales Analytics Dashboard: Built an end-to-end analytics project using SQL, PostgreSQL, and Power BI, covering 150K transactions, data cleaning and quality checks, a seven-table star schema, DAX measures, and a five-page interactive dashboard.
  • Customer Churn Analysis: Worked on SQL-based churn analysis and a PostgreSQL data warehouse pipeline to explore churn patterns, customer behaviour, data quality, and revenue at risk.
  • Freddie Mac Mortgage Data Pipeline (in progress): Currently building a Python, Pandas, and SQL-based pipeline focused on mortgage data profiling, validation, ETL, and data warehousing.

Skills

SQL, PostgreSQL, Python, Pandas, Power BI, DAX, Power Query, Excel, data cleaning, data validation, ETL, and data modelling.

I'm looking for Data Analyst, BI Analyst, SQL Developer / Junior SQL Developer or Junior Data Analyst opportunities. I'm open to suitable opportunities and willing to learn, work hard, and prove myself.

If anyone knows of an opening, can refer me, or can connect me with a recruiter or hiring manager, please reach out/DM me. I'd be incredibly grateful for any genuine lead or referral. Even one conversation with the right person could make a real difference to my situation.

I've been trying for so long, and I'm genuinely struggling. I don't want to give up, but right now, I really need some help getting my career back on track.

Thank you for reading this and for any help you can offer.

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u/Acceptable-Note-2030 — 5 days ago
▲ 17 r/dataanalysiscareers+10 crossposts

What Recruiters Look for in a Resume and What Happens Before They Look

The most quoted resume statistic, about seven seconds per resume, comes from a 2018 Ladders eye-tracking test of 30 recruiters which measured an average of 7.4 seconds on the first review. It is a small sample, describing a step many resumes never reach.

The search comes first

Online applications usually land in an applicant tracking system. Recruiters search it by keyword, title and qualification, then read the results. Relevant experience described in words other than the posting’s is less likely to appear. Spelling an acronym out once, as in “Kubernetes (K8s)”, lets a search for either form find it.

Then the seven seconds

Once a resume is opened, the Ladders test found attention going mostly to a few fields: current title, most recent company, dates and education. A bullet with a percentage, amount or headcount tells a quick reader more than one that begins “Responsible for.”

A closer read asks other questions. Do the scope and seniority fit, not just the job family? Are the tools recent? Is the writing free of typos?

Order matters

Many applicants start with layout. Two-column designs, tables and text boxes can scramble text when the system extracts it. Standard headers, a single column and the posting’s own terms serve the search. Quantified results and a readable career line serve the person.

ZoeVera’s guide to what recruiters look for in a resume . To see which of a posting’s terms your resume lacks before you apply, ZoeVera Resume compares the two and lists the gaps.

u/Enough_Charge2845 — 6 days ago

Is the job scope creep for data analytics getting out of hand?

I recently finished an interview for a senior business developer role, and the requirements they were looking for seemed completely unreasonable. Not necessarily the knowledge required, but in my previous experience this role would have required at least 3 separate individuals if not 3 distinct teams.

  • 1st they wanted the developer to manager the entire ETL/datawarehouse process.
  • 2nd they wanted the developer to manage the data in SQL and run reports/queries from SQL.
  • 3rd the role would be required to build dashboards in a BI tool.
  • 4th they wanted that same person to take all that data and present it to senior leadership, give actionable insights, and get their feedback into how to modify those dashboards/build new dashboards.

To me, each one of these is its own role. I've previous combined 3-4 in a few jobs and 2-3 in another, but the first requirement on its own always had an entire dedicated team.

Is this the new expectation in the job market? For an analyst to be an engineer, data analyst, business analyst and product owner?

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u/Steel_Reign — 13 days ago
▲ 11 r/dataanalysiscareers+1 crossposts

Referral at EXL

I came across an Entry-Level Data Analyst opportunity at EXL and wanted to reach out regarding a possible referral.

I’m a BCA graduate with internship experience as a Data Analyst Intern at Skilledup Technologies Pvt. Ltd., where I worked on a customer churn project. I have hands-on skills in SQL, Python, Pandas, Excel, data analysis, and reporting, along with academic/personal projects.

If you’re comfortable referring me for a suitable Data Analyst opening at EXL, I’d really appreciate it. I can share my resume and the job link. Thank you!

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u/Ok-Succotash-3015 — 12 days ago
▲ 7 r/dataanalysiscareers+1 crossposts

Need Suggestions. About Data Analytics, Python etc

I have enrolled myself in a course of Data Analytics. The course is going extremely slow. So I need suggestions based on my problems.

  1. I am liking python but I don't know am I doing I more than required or will I have a job only on the basis of python? So that I master it and it's libraries.

  2. I have not yet begin for SQL, Excel and Powebi. My time is scarce so where should I go and what should I master.

  3. I don't even know if I am overdoing python or how will the real projects will be like.

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u/spadestorm_ — 13 days ago
▲ 9 r/dataanalysiscareers+1 crossposts

Career advice

I am a senior in college looking for mostly a data science / data analyst /data engineer role but I have also been applying to swe roles. I am interested in fintech/finance. ( I like working with money related things).

I will be a new grad in spring 2027 . I live in NY but it is still very competitive here.

I have had no luck hearing back for first round interviews only the tedious amounts of online assessments from various companies. I have applied to full time new grad, entry level jobs, and internships.

Should I apply for junior roles as well? I don’t think I’m qualified enough.

My strong suit is not leet code but I am working on it.

My gpa is also not that good it’s only 3.1/4.0

However many internships require you to graduate in December and spring 2028 as well for some reason but even those I have applied to those as well.

Is my resume an issue?
What steps can I take to improve my interview rate instead of getting ghosted.

Any other advice is appreciated!

u/Sad_Definition2404 — 13 days ago

How do I bridge the experience gap when switching from Research Analyst to Data Analyst?

I’ve been working as a Research Analyst for ~2 years, but the role has been relatively non-technical — mostly PPT/reporting, writing insights, and some Excel. I haven’t had much hands-on experience using SQL, Python, or Power BI in my actual job.

I’m now trying to transition into Data Analytics, so I’ve learned SQL, intermediate Python, Power BI, DAX, etc. I’ve also reworked my resume around Data Analyst roles, and thankfully I’m getting a decent number of recruiter callbacks.

The problem is the interviews. I’ve had 3 interviews where I was shortlisted for roles requiring around 2 YOE, but I couldn’t clear them because the interviewers quickly identified the gap between my knowledge of the tools and real-world experience using them.

For example, I can understand/write SQL and explain Power BI concepts, but when asked questions like how I used indexes, query folding, report optimization, etc. in a real project, the lack of hands-on professional experience becomes obvious.

For people who have successfully transitioned into Data Analytics from a non-technical role: how did you bridge this experience gap?

Would really appreciate practical advice on projects, interview preparation, positioning, or anything else that helped you make the transition.

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u/frustratedasf35 — 12 days ago
▲ 2 r/dataanalysiscareers+1 crossposts

Career options for switching out of a BA role (4y exp)?

Hey guys!
Fresh out of college in 2022, I got into this Business Analyst role in Bangalore. A year ago I was promoted to senior BA(same role with more responsibilities)

I work for a Saas Loyalty Company and as the name suggests we provide loyalty programs for many brands. I have experience in woking with Retail, Fuel and a bit of Healthcare. For the first 2 years I was mostly using my SQL, Excel skills to pull out data requests. Then I was given an entire market to look into. End to end, from delivering support and helping with their daily business needs(campaign analysis, data requests) to suggesting them what could be done better and periodical business reviews to new product recommendations and implementations. This is what I have done for past 2 years.

I’m not exactly good at responding fast enough and I also wait until the deadline to start work so I see this a huge problem to overcome. I freeze up in meetings sometimes. Though I’m an AI and tech savvy, its become too easy to get work done and I feel like its not challenging or exciting enough, other than the business reviews.

Thoughts on what can I next career step could be? I would really like to know what all are possible? FYI. I’ve been in the same company for 4 years now so.

I am super good with sql excel ppt and storytelling, i think i should still learn some tableau or powerbi because thats whats expected if i need to switch. So help on what other skills could i learn too. On a side note marketing does excite but I have no idea how to get into it

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u/cersiechic — 12 days ago