Switch Career to Data Analytics!
Dear Career Switcher,
Are you in your 30s or 40s, wondering if it’s “too late” to break into the booming field of Data Analytics?
Let me assure you: it’s not too late - but it does require a smart blueprint.
Over the last few years, I’ve mentored hundreds of professionals who switched to data roles after 30, many from non-tech backgrounds like sales, teaching, HR, logistics, finance, and operations.
Let’s check it out.
1. What’s Holding You Back?
📌 “Will I have to start from scratch?”
📌 “Can I compete with younger, tech-savvy candidates?”
📌 “What if I fail and waste a year?”
If these thoughts sound familiar, you're not alone. But these fears come from old assumptions - not today’s reality.
In fact, your experience is your secret weapon.
2. You Have Transferable Skills – Identify Them and Use Them!
Your years in the workforce have built skills that data teams deeply value:
📌 Business problem-solving 📌 Communication & storytelling 📌 Domain knowledge (data professionals are required across domains -finance, operations, marketing) 📌 Decision-making under pressure
With the right tools - Excel, SQL, Power BI, Python, etc. - you can translate these into insight-driven roles.
3. My Story. My Switch from Banking to Training to Data Science.
📍 From Banking to Data Science: My Career Switch at 59
I began my career as an officer in a nationalized bank. After five years, I moved into a Branch Manager role. Around 1988, I started taking a keen interest in the fast-emerging IT industry. That interest led me to make a bold move. I left banking and started my own IT training venture.
For over 30 years, I immersed myself in every aspect of the training business - teaching, designing curriculum, managing operations, mentoring staff, and even handling marketing, finance, and HR. It wasn’t just a career. It was passion. And I was thriving.
Then came COVID. Like it did for many, it turned my world upside down. I had 38 people on my team, and the losses were massive. I had to shut everything down. I was left with limited savings, sitting at home, unsure of what to do next.
That’s when I stumbled upon the world of data.
The shift to the digital economy had accelerated, and I saw an opportunity in data analytics. With a background in IT and training, and strong skills in Excel, I started learning SQL and exploring the data ecosystem. Slowly but steadily, I began doing small projects online. I kept learning: Power BI, Python, R, Tableau - one tool at a time.
My academic foundation in Mathematics, Statistics, and Economics, combined with years of experience in finance and banking, proved to be a huge advantage. Today, I’m deeply involved in machine learning and AI, thanks to the statistical thinking I had always carried with me.
Now, I run multiple projects and have built a close-knit team of data analysts - many of whom were once my students. About 30% of them are career switchers like I was. In fact, many from my old training academy have now become independent analytics professionals themselves.
If I could make the switch at 59, I truly believe you can do it too - whether you’re 30, 40, or even older.
Age is never the barrier. Belief is.
4. The Winning Mindset
Success isn’t about being the youngest or fastest. It’s about being strategic, coachable, and consistent.
Ask yourself:
📌 Am I willing to unlearn and relearn? 📌 Can I commit 5–7 hours per week for 3–4 months? 📌 Do I want to grow into a future-proof role?
If yes - the data world is waiting for you.
5. Your Next Step? Start Small, Start Smart
📌 Pick 1 tool (start with Excel or SQL)
📌 Practice with real business problems
📌 Build 2–3 solid portfolio projects
📌 Get feedback. Iterate. Improve.
You don’t need 10 certifications. You need 1 good project and a story that connects your past to your future.
Ready to build your blueprint? That hitch is the real stopper. Overcome it and you have made it.
I can help. Talk to me 1 to 1. Just DM me and let’s talk.
Even if you are not thinking of doing the switch now, but are willing to explore, we can still talk. Maybe as friends only!
And if it works out, I’ll make out your roadmap so smooth, you’ll thank me 10 years down the line.
You’re not late. You’re just getting started - with clarity, courage, and community.
What’s Next?
📩 Are you a Data Analyst and still struggling with your Job Search. Maybe I can help. Watch out for my next week’s topic; “Data Analysts: Your Roadmap to Your Next Job in 90 Days”
Don’t be afraid to start all over again. You may like your new story better.
To your growth,
Rajesh Tewari
Career Coach | Data Mentor | Your Partner in Progress
Deputy Manager - Data Analytics & Engineering | Deloitte | Consulting | Databricks Certified | Ex- EY, Entrepreneur
1moThis is so inspiring
Senior Executive Human Resources at ABC Sports Pvt.Ltd.
2moRajesh Tewari Accomplishment indeed!
Data Analyst | Excel | Power BI | SQL | Python | I work with data to help businesses make better decisions.
2moTruly inspiring Rajesh Tewari! Sir, Shows age is just a number when it comes to learning and growing.
Helping You Land Your Dream Job | LinkedIn Growth Strategy | Data Science Mentor | Build Your Data Startup with Me | 3000+ Success Stories
2moJob Description Key Responsibilities: · Collect and clean data from multiple sources (internal systems, APIs, external databases). · Analyze large datasets to identify trends, patterns, and insights. · Create dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel. · Work with stakeholders to define business problems and translate them into analytical tasks. · Present findings in a clear, concise, and actionable format to both technical and non-technical audiences. · Assist in building automated reporting solutions and performance tracking tools. Required Skills: · Strong knowledge of Excel, SQL, and data querying techniques. · Hands-on experience with data visualization tools (e.g., Power BI, Tableau, Google Data Studio). · Understanding of statistical concepts and data analysis techniques. · Experience in Python or R (preferred but not mandatory). · Strong problem-solving skills and attention to detail. · Good communication and storytelling abilities with data.
Helping You Land Your Dream Job | LinkedIn Growth Strategy | Data Science Mentor | Build Your Data Startup with Me | 3000+ Success Stories
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