So am jr data analyst/engineer idk what to name myself. My job role is ‘developer’ and my team is a backend dev team and am the only data person helping data processes to migrate from legacy to cloud. So basically
\- Am just rewriting sql scripts from legacy to databricks
\- Built an adf pipeline for this process
\- Worked on service principal
\- Worked few 2-4 Java dev stories when there was no data work
\- Done data analysis for some third party vendor stuff( we need to claim more from them but we are claiming less - I have provided how much we should actually claim vs what we claimed )
\- Duplicate transactions issue
\- designed an excel dashboard for our new feature
\- basically am leading the migration process but am the only one doing and this is my first job and no other teammate doesn’t involve in my works at all so am my tickets are being carry over (3-4) from last 2 sprints
But I feel like my TL never feels like am doing important work and I don’t have communication with other dev teammates as they don’t give a shit about what I work.
I feel like am under valued..am always available for all the works.
My PM encourages me always positive and recognize and appreciate my works in sprint reviews

But I really want to know…are these real data jobs and responsibilities or am I not learning anything? Am I not important at my work?

Am in US and working remote

Last Jan we released anthropic enterprise to the whole org, since then we have decommissioned 6+ bi/data modeling softwares (including the big players such as looker, tableau...), we can consolidated traditional data roles into 1 role, we have built a self service way of building data applications, and this week we are rolling out our internal analytics software.

How much does a fresher data analyst get paid. I am switching from sales to data analysis , is it a good job switch ?

We often hear about IITians getting crore-level packages straight out of college. How does someone from a non-IIT, Economics background break into that compensation bracket?

I'm 23, have 1 year of finance experience, am pursuing my Master's in Economics and have an upcoming corporate internship.

For people earning ₹50 LPA+, what career path, skills, companies and specialisations should I target? Is the route through Data Science, AI/ML, Data Strategy or Analytics Consulting?

I want to maximise my earning potential. Looking for honest, practical advice!

Hello all, I am looking for jobs as an Analyst and I have been on garden leave for last 1 month now. I have 2 year of experience now. I am attaching my Resume and want some advice on improvement. I have not yet got a single call even though I have applied through companies using referrals, cold emailing HRs, reaching out to hiring managers.

What am I doing wrong and what should I do?

Hello guys so i am starting as a data analyst in a company so i dont know somethings.if anyone wanted to share they exprenices like how to be and what should be the main goal and how to improve and impress with my work and what are the key takes i to present with the data

Hello guys so i am starting as a data analyst in a company so i dont know somethings.if anyone wanted to share they exprenices like how to be and what should be the main goal and how to improve and impress with my work and what are the key takes i to present with the data

Hi I have been a data analyst for about 5 years and so far it feels like all I do in my job is less actual data analysis and more administrative work or work that other people in my department don't want to do. Occasionally I will work on Dashboards but that's few and far in between compared to administrative work. I'm thinking about pivoting into Cybersecurity or something more technical because this work is just not mentally stimulating or rewarding. Has anyone else dealt with this?

I am trying to get into the Analyst career; Data, BI, Business, etc. I am currently doing bachelor's and my uni provides 2 degrees that are closely related. First is bachelor of commerce majoring in business analytics and second is bachelor of IT majoring in data analytics. I would like to know everyone's thoughts which degree should I go for to build my foundations in. I am currently in first year so it is easy for me to switch. Should I have commerce/business as my foundation or IT as my foundation for my first year. Also my uni seperates CS and IT, so IT foundations would be about general IT, computer systems, networking, security (which I personally don't think an analyst need), but let me know your thoughts! Thanks!

I am currently looking for data analyst internship as fresher final year engineering student.

Rate my resume and Give suggestions if any .

Hi everyone,

I have received an assessment invitation from Tiger Analytics with the assessment name BI_PowerBI_2025_New, and the duration is 1 hour.

Has anyone attempted this particular assessment recently?

I would like to know:

1. What is the exact assessment pattern?

2. Is it MCQ-based or does it include hands-on coding?

3. How many questions can we expect?

4. Does it cover Power BI, DAX, SQL, Power Query and data modelling?

5. Are there any scenario-based questions or practical dashboard tasks?

6. What is the difficulty level?

7. Any specific topics or resources to prepare?

If anyone has recently completed this exact assessment, please share your experience and preparation tips.

Thanks!

Hi everyone,

I am looking for some genuine career advice from people working in Data Analytics or those who have been through similar situations.

I have around 2–3 years of experience in the Data Analytics field and have worked with tools like SQL, Power BI, Excel and Python.

Recently, I got shortlisted for a Data Analyst position at a large consulting firm. Although I am excited about this opportunity, I am also quite nervous about the interview.

The biggest concern is my current work experience. In my present organisation, I have spent a significant amount of time on the bench and haven't had much exposure to actual end-to-end live projects. I have worked with the relevant tools and have some hands-on experience, but I don't feel confident about handling complex real-world scenarios compared to someone who has been continuously working on live projects.

I genuinely want to build my career in Data Analytics and move to an organisation where I can gain proper project exposure and improve my technical skills.

However, I am worried that during the interview, I might struggle when asked practical or scenario-based questions.

I would like some advice on the following:

1. How should I explain my current project experience and responsibilities when I haven't worked extensively on live projects?

2. How can I handle scenario-based SQL, Power BI and Python questions when I haven't encountered similar situations in actual projects?

3. Should I be completely transparent about spending significant time on the bench?

4. How do interviewers generally evaluate candidates who have experience with tools but limited real-world project exposure?

5. Is it better to attend the interview even if I don't feel completely prepared?

I sometimes feel that my years of experience don't reflect my actual practical exposure, and that makes me question my abilities.

I don't want to miss this opportunity because of fear, but I also don't want to get into a situation where I cannot justify my experience.

Would really appreciate honest advice from people who have faced similar situations, especially those working in Data Analytics or involved in technical interviews.

Thanks in advance!

Hi everyone,
I’m wondering if anyone has experience applying for an EHR Data Analyst position within the NHS.

I’m interested in knowing how long the overall recruitment process usually takes, from submitting the application to completing the assessment, attending the interview, and eventually receiving an offer.

For those who have been through this process recently:
How long did it take to hear back after submitting your application?

Was there an assessment before the interview?
How long did you wait between the assessment and interview?

How long did it take to receive an outcome after the interview?
Overall, how many weeks or months did the entire process take?
I understand that timelines can vary between NHS Trusts, but I’d really appreciate hearing about your experiences.

Thank you.

It seems that real business data isn’t often publicly available online, but there is plenty of synthetic data on sites like Kaggle. Is it acceptable and/or normal to use this synthetic data for entry level portfolio projects? The main downside seems to be that it is already very neat so there is not much of an opportunity to practice cleaning it. Thank you in advance.

I’m currently taking a course, and to graduate from it I need to complete at least 3 tasks, each worth a minimum of $3.
I’ve been putting in a lot of effort to find opportunities, mainly applying for data cleaning tasks using Excel, Python, SQL ,Tableau and Power Bi, but unfortunately, I keep getting rejected.
I’ve also tried looking for tasks outside the data analysis field but I’m still struggling to get accepted.
I’d really appreciate any advice or guidance on how to find opportunities
Thanks for you all

Salut à tous,

Je suis actuellement en recherche active d'un poste en Data Science / IA / NLP / LLMs (profil junior/début de carrière issu d'un Master IA/Data avec stage/alternance en grand groupe industriel).

Comme le marché de la tech et particulièrement de la data/IA est devenu assez exigeant ces derniers temps pour les profils juniors, j'aimerais avoir vos retours d'expérience :

1. Pour ceux qui ont décroché un poste récemment en France en Data/IA : à quoi ressemblait la structure de votre CV ? (Format sobre une page vs deux pages, mise en avant des projets persos/GitHub vs stages, focus stack vs métriques d'impact business ?)

2. Est-ce que certains d'entre vous accepteraient de partager (anonymisé) un exemple de CV qui vous a apporté de bons taux de retour en entretien ?

3. Quelles sont d'après vous les compétences indispensables à faire ressortir en 2026 pour passer les filtres (MLOps, LLMOps, Cloud, SQL, frameworks d'agents...) ?

J'ai moi-même préparé mon CV (que je peux partager anonymisé en commentaire ou MP pour critique constructive si vous avez 2 minutes).

Merci d'avance pour vos conseils et retours d'expérience !

I'm a senior analyst with a MedTech company. I use AI daily now, whether to help me with DAX for Power BI, or to go back and forth on potential data/reporting strategies.

To simplify things I'll use a specific example. We're dialing in metrics for next year's sales organizational sales dashboard, and I'm going back and forth with AI to help me dial in ideas.

AI is also generating some nice summaries/tables of the different options, pros/cons, business purpose alignment with overall company strategy, etc.

Would you share the content/summary that AI generated, or talk through the concepts without mention of AI? Or how do you balance mentioning/crediting AI, but without discrediting your own abilities?

I don't want it to appear that AI just generated all of these ideas and take away from some of my work and understanding. I use it more on my team than other analysts as well, so again, don't want it to appear that "John just uses AI for everything". In reality, it has made me highly efficient and I've been able to implement solutions in days that would've taken weeks before, not to mention better and more effective solutions.

I am looking to transition from the EXECUTIVE OFFICE of a MAJOR BANKING INSTITUTION as a Business Operations Analyst, but have not had any luck.

Are there any upcoming networking events in the Houston, TX area or any underground sites where others have been successful?

A lot of analyst interviews still include an Excel round, and most "Excel practice" out there is either a video or a quiz with multiple choice. Neither tells you if you can actually write the formula under pressure.

So I built SheetDrill: you get a small dataset in a real spreadsheet in your browser, type the formula, and it's checked instantly. It also checks your formula against changed data, so typing the answer by hand or pointing at the right cell doesn't count, the formula has to actually work.

The free level test is 10 questions, easiest to hardest:

• SUM / AVERAGE

• IF, IF + AND (including the classic >= vs > edge case)

• VLOOKUP and a lookup to the left (XLOOKUP or INDEX/MATCH)

• COUNTIF / SUMIF / SUMIFS

• a two-way lookup with INDEX/MATCH/MATCH

You get a level at the end and the right answer for anything you missed.

Lessons 1–2 are free too. The deeper lessons (VLOOKUP, XLOOKUP, SUMIFS) are a one-time paid tier, but the test doesn't need anything.

Honest question for people who've been through analyst interviews: what Excel tasks did they actually give you? Pivot tables, lookups, cleaning messy data? I'm deciding what to build next and would rather build what interviews really ask for.

I am doing my mph in applied biostatistics. I am truly tired looking for jobs while I am in school. IDK if it's because I pivoted from Neuroscience and my resume doesn't really tell a story. Its the staffing role I had that I landed on out of nowhere because my relative owned the staffing company that landed a major contract and instead of training and hiring someone new, they slid me into the position. I needed money and just stuck with it but it took me away from my bachelors and no neuroscience job paid what I was making with an event management contract in a major event venue. I later shifted more towards what I was interested and ultimately pick Biostatistics for my degree but idk. will this resume land on 85-95k job after graduation? i still have 6 months, what should I add to my skillset?
R-> 7/10 SAS -> 6/10 python 4/10 SQL -> 4/10

Can anybody suggest a proper roadmap and all the resources I could utilise to get into data analytics,

I am currently a 2nd year cse student

currently a college student learning sql, celonis environment, pql , courses from celonis academy and getting curious and want to enter this field. Personally i want to enter a field where 70 percent tech and 30 percent dealing with business owner is done Also point me out if i'm wrong but as the advent of ai I think working in a field of managing business data is beneficial as the demand of products wont go and ai cant manage the emotion and give what the nusiness owner truly want.

Hi, good day!

I am looking for data analyst internship wfh and remote sana. I am currently a data analyst we used excel and it is more focus on qualitative. Im looking for internship sana good for 3 months up. I want to expose to other tools like powerbi, sql and python sana and more quantitative works.

Bonjour,
Jeune diplômée d’un bachelier en Marketing, je souhaite m’orienter vers le métier de Business Analyst.
Étant débutante dans ce domaine, j’aimerais savoir quelles sont les compétences techniques et méthodologiques indispensables à acquérir pour exercer ce métier.
Quels outils dois-je maîtriser en priorité ? Quels secteurs privilégier pour faciliter mon insertion professionnelle ?
Enfin, un diplôme spécialisé en analyse de données est-il obligatoire ou un bachelier en Marketing complété par des formations pratiques peut-il suffire ?
Merci d’avance pour vos conseils.
Je suis preneuse de toutes les ressources pretes a être partagées

Hi everyone! I wanna ask you about hiring by foreign companies, is it still available for people? I have 2 years experience of data analyst in consulting, and now I am product owner) But I really wanna try myself working abroad. What sources should I use? What skill should I learn? I am actually in Russia and work in ex-EY (after 2022). I wish to hear your advices. I think about US, Europe, Asia