How To Land Your First Data Role Using the Low Barrier Approach

6 Entry-Level Data Roles You Probably Didn’t Know Existed (And How to Land One)

Olalekan Akinsande

6/14/20253 min read

If you've ever typed “Data Analyst jobs near me”, “Junior Data Scientist role”, or “How to become a Data Engineer” into Google or LinkedIn, you're not alone.

These are among the most searched job titles in the data world—and for good reason. They’re exciting, fast-growing, and high paying. But here’s the thing: they’re not the only way into the world of data and analytics.

When I started my own data journey, it was as a Research Data Analyst using SPSS to analyze survey results. Later, I pivoted into Software Engineering through a Software Testing role, and today, I lead a Strategic Insights function at a global organization.

That path wasn’t linear—and yours doesn’t have to be either.

So, let’s explore 6 beginner-friendly data roles that could be your launchpad—even if you have no tech background or formal experience. Plus, I’ll show you how to position yourself to land one.

1. Data Annotation Specialist

This is one of the easiest ways to enter the AI and Machine Learning space. You’ll be tagging images, labeling audio clips, or classifying texts to help train AI models.

Think: identifying road signs in photos or tagging customer comments as positive, negative, or neutral.

Tools to learn: Excel, Labelbox, Prodigy | Skills needed: Attention to detail, consistency—not code.

If you’re meticulous and enjoy pattern recognition, this is your foot in the door.

2. Reporting Analyst

This role is all about helping organizations make sense of their data through dashboards and reports.

You’ll work with tools like Power BI, Google Data Studio, or Excel, turning raw data into visuals that support better decisions.

If you love charts, storytelling, and data-driven decision-making, this is a great fit.

3. Data Entry Analyst

Yes, it sounds old-school. But modern data entry goes beyond typing. You’ll be cleaning, structuring, and organizing data—skills every good data professional needs.

This gives you hands-on experience with data hygiene, which is critical in any analytics pipeline. Ideal for: People who are disciplined, accurate, and fast.

4. Customer Insights Analyst

Here’s one for the storytellers.

This role digs into how people think and behave—what they click, buy, or ignore—using tools like Google Analytics, survey platforms, and CRM systems.

If you have a background in marketing, psychology, or sales, this is where your experience meets data.

5. Operations Analyst

Love fixing inefficiencies? This one’s for you.

You’ll use data to streamline processes, cut costs, and improve systems—especially in industries like finance, logistics, and healthcare.

Excel and SQL basics will serve you well here, along with strong problem-solving skills.

6. Data Quality Analyst

Behind every great dashboard or machine learning model is clean data—and that’s where this role shines.

You’ll work across teams to ensure data is accurate, consistent, and usable. It’s a brilliant introduction to data governance and collaboration.

If you’re detail-oriented and have a perfectionist streak, this could be your zone of genius.

So, How Do You Land One of These Jobs—Even Without Experience?

Here’s a 4-step roadmap:

1. Learn the Basics

Focus on tools like Excel, Power BI, Google Analytics, or annotation platforms. These are approachable and in high demand.

Don’t aim for perfection. Aim for progress. A consistent 30 minutes a day beats cramming 6 hours once a week.

2. Build a Mini Project and Show Your Work

Ideas:

  • Create a dashboard from dummy data.

  • Clean up a messy survey dataset.

  • Annotate open-source images.

  • Analyze app reviews using Google Sheets.

Then post it! Use LinkedIn, GitHub, or even a short video. Employers want to see your initiative.

3. Apply Boldly

You won’t check every box. That’s okay.

Use your projects to demonstrate initiative. Highlight transferable skills like communication, curiosity, and attention to detail.

Sometimes it’s not the perfect résumé—it’s the brave one that gets the call.

4. Pivot Internally

Already working in HR, finance, customer service, or admin? Use your new skills where you are.

  • Automate a report.

  • Visualize internal data.

  • Offer to analyze customer feedback.

This positions you as “the data person” on your team—and internal moves often happen faster than external ones.

Final Thoughts

You don’t need a fancy degree. You don’t need permission. You just need a starting point—and the willingness to grow.

✅ Learn the basics ✅ Build a mini project ✅ Apply boldly ✅ Don’t sleep on internal pivoting

The data world is wide open. And yes—there’s room for you.

Let’s Connect

Which of these roles surprised you the most? Or which one are you going after? Let me know in the comments.

Growth Catalyst

Connect with me on Social Media

Newsletter

lekanAKINSANDE © 2025.