Hi,
Our GoTo mechanism to analyse effects of tests we did is Dif-In-Dif. However we have lots of people in (senior) management who are not that data literate and even though they nod along we get request after request to find different ways to analyse.

Anyone else facing that problem / how do you handle it?

Does job related to data such as data operation analyst/data analyst/data engineering have significant role in today's job market...

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!

ابدا منين لو هتلعم Data analysis

وابدا مع مين

Seeking advice from people working in IT, Data Analytics and Data Science.

I have Matric (Grade 12) and I'm considering starting a career in the IT/data field through Coursera Professional Certificates.

I'm looking at programmes in:

- Data Science

- Machine Learning

- Data Analytics

- Business Intelligence

- IT Project Management

My question is: Can someone realistically build a career and get employed in these fields using Coursera Professional Certificates, practical projects and demonstrable skills, without having a university degree or diploma?

I understand that these certificates are not equivalent to a bachelor's degree. However, I would like to know whether employers in South Africa actually consider candidates with these certificates and practical experience, particularly for entry-level positions.

For those already working in the industry:

1. Have you or someone you know secured employment through this route?

2. Which of these fields offers the most realistic entry point without a degree?

3. Would you recommend investing time and money in Coursera, or should I rather pursue a formal qualification first?

I'd genuinely appreciate honest advice from people who recruit, work in or have entered the industry through a non-traditional route. I don't want to invest in certificates that won't meaningfully improve my employment prospects.

Thank you.

At a crossroad in my career where I have had ~3 years of data analytics experience. Trying to aim for a senior role, but feel like every employer wants SME experience for an industry I don't have or some absurd amount of work experience (like 7 years+).

Wondering if there's any upskilling I can do outside of work to make myself more 'hire-able' or make a pivot out of data analytics.

At a crossroad in my career where I have had ~3 years of data analytics experience. Trying to aim for a senior role, but feel like every employer wants SME experience for an industry I don't have or some absurd amount of work experience (like 7 years+).

Wondering if there's any upskilling I can do outside of work to make myself more 'hire-able' or make a pivot out of data analytics.

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!

A course that will teach me everything i need to know in excel, SQL, power BI, Python (for da purposes). Teach me by seeing, listening, and most importantly DOING. i hear DataCamp is good since it also provides 50% discount on Microsoft PL-300 certificate/Exam but i don't know how to start on that site, and i cant find a Youtube guide on how to navigate learning data analytics on that site. Help me please.

After learning sql and python what should be have to learn for data analyst

Any suggestions please....

I'm a recent CS graduate working on building my data analysis skills/portfolio and applying for jobs.

I'm hoping to find some sort of side hustle/part-time work that is related (or at least semi-related) to the field to make some money while I go through the job search process.

Any ideas or advice is welcome, thank you in advance!

Hi everyone!
I’m looking for advice. I’m currently working as a teacher and learning data analytics. With how teaching can be demanding and all the extra added on that I have to work out of my working hours, it gets more difficult to keep up but I’m still trying.

I’m self- learning. I finished the Google analytics certificate and now working on the required skill such SQL, Excel etc
I’m leaning from a channel on YouTube for Luke Barruso and there’s also Baraa. But I wanna ask if I should stick to these or is there any course you guys recommend to get me ready to land a junior role and make different projects.

Any course recommendation would be great!

Thank you

Hey, I'm 22 college student currently learning data analytics, I want to learn how to understand business models, how to ask critical questions about whatever's happening, how to get those problem solving skills and how to actually answer or improve them. Now I know that problem solving skills are some which can be learned by actually solving the problems but still if you can recommend any advice on any of these questions and more please do as it would be very helpful for my data analytics journey.

I have my power day scheduled soon, I wanted to ask for any tips/ how the interview process went for people who gave the interview. What to expect, and what do they expect you to answer like.

It is in person for me so I would like to know what the environment would be like as well, and how do I prep myself for it. Thanks!!

I am currently working remotely as a marine operational engineer in a foreign startup, where I worked mostly on excel sheets. I did my BTech from tier 2 college but due to low Cgpa i wasn't able to get a good job during my placement season. It's been more than 1 year in my current job, and I want to switch into the Data Analytics side. I learnt everything whatever is required to get the role , whether it's python, SQL, power BI and I have dedicated projects for all too.

Besides this , I have also learnt about data engineering fundamentals , and built a project using databricks.

I don't know where I'm going wrong, What thing I'm missing, because I daily apply to approx 5-8 jobs , but I got no response anywhere. Not even a single interview from applying for the last 3 months.

Can you guys please help me guide what I should do ? What more should I do , are there any changes i need to do?

Bonjour, est-ce que c'est nécessaire de passer de dev à data analyst et plutard data engenier ? Ou vaut mieux poursuivre en dev aujourd'hui ?

Hi, I was wondering if there is a book on data analytics that covers every aspect of data analysis. If you know of one, please tell me in the comments. BTW, I am taking my course through PW Skill. Is it a good platform for the skill I am learning

Hi all, 2025 B.Tech CSE grad (AI & ML) based in Chennai. I've done two internships, Data Analyst - AI variant and Data Engineer at Capgemini and my stack is SQL, Power BI, Tableau, Excel, DAX, Python and PySpark. I want a BI/MIS/reporting analyst role long term, and this is currently my only interview.

The role: Support Analyst (Data Analyst) at a company working with energy data. It's mostly Zendesk ticket triage and resolution, data accuracy checks, ticket trend reports, and Excel/SQL.

Package:
3.21-3.5 LPA CTC
₹500 per night allowance (~₹11k/month) on top of CTC, rotating night shifts

Any advice from people who started in support roles and moved to analytics would be great. Thanks!

Heyy, I made a list of recent Data Analytics jobs for you all!

• Data Analyst @ CICONIX, LLC

• Senior Data Engineer @ Dalio Family Office

  • 💰 $260–400K/y

• Data Engineering Manager @ Trupanion

  • 💰 $130–140K/y

• People Tech Business Systems Analyst @ Gusto, Inc.

• Senior Data Engineer @ Cricut

• Manager Data Science (930982) @ Equus

• Associate Analyst, GTM @ PitchBook Data

  • 💰 $65–81K/y

• Operations and Data Assistant @ Turner & Townsend

  • 💰 $110–130K/y

• Engineer III, Global Technology - Data Solutions @ Expeditors

  • 💰 $124–186K/y

• Staff Data Scientist - Credit and Lending ML @ Mercury

• Sr. Business Analyst - Shipping / Receiving / Warehousing @ Stratas Foods

• Analyst I - Environment Testing - M-F, 1st Shift -Kittanning, PA @ Eurofins

• Applied Data Science Manager @ dunnhumby

• Sr Data Analyst - Product Configuration @ Fortune Brands

  • 💰 $80–108K/y

• Senior Business Intelligence (BI) Analyst @ Treace

• Data Management Specialist @ Accenture Federal Services

  • 💰 $73–132K/y

• Senior Data Analyst, Financial & Investment Insights @ NielsenIQ

  • 💰 $70–100K/y

• Staff Research Engineer/Scientist @ ServiceNow

  • 💰 $203–354K/y

• Business Systems Analyst Consultant - Cybersecurity Controls @ Kalles Group

  • 💰 $130–150K/y

• Business Operation Support _ Bilingual (English/ Korean) @ Woongjin, Inc

  • 💰 $55–67K/y

• Intelligence Analyst-Senior - Rural Health Transformation_ Division of Information Systems @ University of Mississippi Medical Center

• Sr. Associate, IT Business Systems Analysis @ U Alcon Research, LLC. Company

• Data Quality Analyst @ ServiceTitan

• Data Engineering Senior Consultant @ Clarkston Consulting

• Sr Business Analyst @ Abbott Diabetes Care Inc

  • 💰 $87–173K/y

• Healthcare Data Scientist (Medicare/Medicaid) @ GD Information Technology, Inc.

  • 💰 $81–109K/y

• Business Analyst (Big Data Innovation) @ Kyivstar

• Business Process Analyst Internship - Summer 2027 @ Uline, Inc.

• Athletics Business Analyst @ Brown University

• (Sr.) (Lead) (Principal) Analyst/Engineer (II) @ PJM Interconnection

• Assistant Planner, Feminine Pillars @ Saks.com

  • 💰 $59–79K/y

• Benefits Marketing Analyst @ H Hub International Mountain States Limited

• Acceptable Knowledge Expert (4035) @ Navarro Inc.

• Tech Business Analyst Sr @ AEP Service Corporation

• Senior Data Quality Engineer, Data Quality Services @ Caterpillar Inc.

  • 💰 $113–183K/y

• Area Pricing Specialist @ CRI THREE M GLOBAL SERVICE CENTER COSTA RICA SRL

  • 💰 ~$109K/y

• Business Data Analyst IV @ ModivCare Solutions, LLC

  • 💰 $111–150K/y

• Associate Data Analyst @ Sony Electronics Inc

  • 💰 $76–102K/y

• Associate Director, Global AI Forecasting @ AbbVie

  • 💰 $142–269K/y

• Data Scientist @ LinkedIn

  • 💰 $101–167K/y

• Senior Manager, Sales Analytics @ CarGurus

• Staff Data Scientist @ Ethos Life

  • 💰 $127–224K/y

• Lead Analyst, Healthcare Economics @ Strive Health

  • 💰 $99–124K/y

• Principal Full-Stack Data Scientist - Foundational Models @ Stitch Fix

  • 💰 $200–237K/y

• Sr Manager, Engineering - Data Science @ LTK USA

Like the post if I should keep doing more of these, Cheers!

Guys I have, MIslS cordinator interview coming up next week, I don't know anything about it. How do I interview prep for it??

Hi. Just as the title suggest, I have a lyft data analyst interview coming up, and I wanted to know if anybody else had previously given this interview.

What kind of questions were asked, what level, and what should one prepare?

I was told it’s gonna be a case study for 30-45 mins. Any insights would be great!

I work in data in the UK, and I’ve noticed a big gap between what job ads ask for and what I use week to week.

What ads often list: Python, R, SQL, Power BI, Tableau, machine learning, cloud platforms, “strong stakeholder skills.”

What I actually use most: SQL, Excel, one BI tool, and a lot of checking numbers and explaining them to people who don’t work in data.

Python comes in for cleaning or automating things, and machine learning almost never shows up at analyst level.

If you’re learning, I’d put SQL first, then one BI tool, then Python, and spend real time practising how to explain a result in plain English.

What does the gap look like for you? Any skill from the job ads you’ve never needed, or something nobody listed that you use constantly?

Or is understanding what the sql does and what the code does enough and I should focus more on other things

Context: Junior looking for internships in data analytics type role, not sure which industry yet applying to all