Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

A Data Analyst Must Have These Skills for 2023

Data analyst roles and other data professionals continue to be in high demand as not only more roles require data skills, but also more companies find value in using detailed data-led oversight to guide business decisions, process changes, and important investments. Kamal Albatarni, Full-Stack Engineer & Data/Business Analyst, gives his three main pieces of…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Software And Technology · DataData AnalystPythonSoftware
Share

Key takeaways

01

Data analyst roles and other data professionals continue to be in high demand as not only more roles require data skills, but also more companies find value in using detailed data-led oversight to guide business decisions, process changes, and important investments.

02

Kamal Albatarni, Full-Stack Engineer & Data/Business Analyst, gives his three main pieces of…

Data analyst roles and other data professionals continue to be in high demand as not only more roles require data skills, but also more companies find value in using detailed data-led oversight to guide business decisions, process changes, and important investments. Kamal Albatarni, Full-Stack Engineer & Data/Business Analyst, gives his three main pieces of advice to those interested in learning more about data analytics, the industry as a whole, and how to add these skills to their toolbelt.

Kamal’s Thoughts:

“What I’ve observed over these years is a big gap between skilled data analysts and the vastly growing market. We all agree that these days it’s easier than ever to learn and acquire new skills with the information that is available at your fingertips. My advice to anyone interested in this industry and learning more about data analytics is to learn mainly about three things:

There are a lot of options out there. I would recommend starting with Python. It’s a very easy language to start with. Also, it’s widely used, especially in data analytics. You will find a lot of resources, on how to get started and how to get to a level where you can get some data and manipulate it.

The second skill is SQL. As a data analyst, you’ve got to learn SQL. Your daily task would require a lot of retrieving data from large databases, and manipulating the data to meet the business requirements.”

About the author

SA
Software And Technology

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

Kyndryl report: AI is in 57% of enterprise core processes, but workforce readiness is falling behind

Kyndryl report: AI is in 57% of enterprise core processes, but workforce readiness is falling behind

Kyndryl's 2026 People Readiness Report highlights that 57% of enterprise core processes have integrated AI. Despite this advancement, only 23% of leaders believe their workforce is fully prepared for AI implementations. The report emphasizes the growing gap between AI adoption and workforce readiness.

  • 0157% of enterprise processes now involve AI.
  • 02Only 23% of leaders feel their workforce is fully AI-ready.
  • 03Workforce readiness is crucial for effective AI implementation.

Jul 11, 2026

Global e-commerce market on track to nearly double by 2035, driven by mobile, AI, and D2C shifts

Global e-commerce market on track to nearly double by 2035, driven by mobile, AI, and D2C shifts

A new forecast predicts that the global e-commerce market will reach $19.83 trillion by 2035. Key drivers include AI personalization, direct-to-consumer (D2C) platforms, and mobile-first checkout processes. These changes are expected to reshape enterprise operations significantly.

  • 01Global e-commerce is projected to reach $19.83 trillion by 2035.
  • 02Key growth drivers include AI, D2C, and mobile-first strategies.
  • 03These trends will significantly alter enterprise operations.

Jul 10, 2026

Shadow AI is outpacing enterprise governance, Smarsh study finds

Shadow AI is outpacing enterprise governance, Smarsh study finds

A Smarsh study reveals that only 26% of enterprises believe their AI governance matches the pace of AI deployment, while just 30% are capable of detecting shadow AI. This highlights the challenges companies face in managing AI in enterprise environments.

  • 01Only 26% of enterprises report adequate AI governance.
  • 02Just 30% of companies can detect shadow AI.
  • 03There's a growing gap between AI deployment and governance.

Jul 10, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

SA
Software And Technology