If you’re learning Excel and Python and wondering what jobs you can get — good news:
You don’t need to master advanced coding or data science before you start earning in tech.

Excel and basic Python alone can open doors to several entry-level, high-demand roles.

In this guide, I’ll show you the top tech jobs you can get with just beginner–intermediate Excel and foundational Python skills, what you’ll do in each role, and why these skills matter.

Why Excel + Python Is a Powerful Combination

Most companies today rely heavily on data.
Excel helps you organize, clean, and analyze data quickly.
Python helps you automate repetitive tasks and handle larger datasets.

Together, these skills make you valuable even as a beginner because you can:

• Clean and analyze data
• Build simple automation scripts
• Create dashboards and reports
• Support business decisions
• Work faster than colleagues who rely only on Excel

Let’s look at the roles you can access.

Tech Jobs You Can Get With Basic Excel and Python

1. Data Analyst (Junior/Entry-Level)

This is the most common job beginners step into.

What you’ll do:

• Clean datasets
• Analyze trends
• Create Excel reports & dashboards
• Automate tasks with simple Python scripts
• Support business teams with insights

Why Excel + Python helps:
Excel handles quick analysis, while Python helps automate cleaning or build small scripts that save hours.

2. Business Analyst

This role focuses more on understanding business needs and analyzing data for decision-making.

What you’ll do:

• Analyze business performance
• Prepare Excel models
• Work with stakeholders
• Use Python for simple automations or data extraction

Why Excel + Python helps:
Managers love analysts who can automate repetitive tasks and simplify data workflows.

3. Marketing Analyst

Marketing teams rely heavily on data e.g ad performance, customer behaviour, campaign results, etc.

What you’ll do:

• Track marketing metrics
• Analyze campaign performance
• Clean and combine datasets
• Build simple dashboards
• Automate reports

Why Excel + Python helps:
Python can pull data from APIs (Google Analytics, ads platforms), while Excel helps present results.

4. Operations / Supply Chain Analyst

These teams need people who can track inventory, logistics, and efficiency.

What you’ll do:

• Manage Excel trackers
• Analyze delays, costs, inventory
• Build prediction models
• Use Python to automate schedule or reporting tasks

Why Excel + Python helps:
Businesses save time and money through improved operations and your skills directly support that.

5. Financial Analyst (Entry-Level)

Finance teams use Excel heavily, and Python is now becoming a bonus skill.

What you’ll do:

• Build financial models
• Create reports
• Analyze expenses, revenue, performance
• Automate reconciliations or data cleaning with Python

Why Excel + Python helps:
Excel is still the finance king; Python makes you stand out from other applicants.

6. Data Technician / Reporting Analyst

These are hands-on roles focused on cleaning and preparing data.

What you’ll do:

• Clean messy spreadsheets
• Combine data from multiple sources
• Schedule daily/weekly reports
• Automate repetitive cleaning tasks with Python

Why Excel + Python helps:
This role is often the easiest entry point for beginners.

7. Junior Data Engineer (Without Advanced Coding)

Even though data engineering seems hard, many junior positions only require:

• Basic Python
• Working with Excel or CSV files
• Understanding data pipelines

What you’ll do:

• Move data from one place to another
• Clean raw data
• Work with simple Python scripts
• Prepare datasets for others

Why Excel + Python helps:
These roles are great stepping stones into bigger engineering jobs.

How Much Can You Earn With Basic Excel + Python?

While salaries vary by country, beginners with Excel + Python typically earn:

• Entry-Level Analysts: $40,000–$65,000
• Marketing/Operations Analysts: $35,000–$55,000
• Reporting/Data Technician: $30,000–$50,000

In Nigeria: ₦150,000–₦450,000/month depending on the industry.

These numbers increase quickly as you build your portfolio.

What to Learn Next to Increase Your Opportunities

If you already know basic Excel and Python, add these next:

• Excel Pivot Tables & dashboards
• Python Pandas
• SQL basics
• Power BI or Tableau
• Data cleaning techniques

These will instantly upgrade your CV and open even more roles.

You don’t need to be a senior developer or data expert to start working in tech.
With basic Excel and Python, you can already qualify for several high-demand, well-paying entry-level roles.

The key is to practice, build small projects, and showcase your skills in a simple portfolio.

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