Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

A Data Analyst Must Have These Skills for 2023

Data analyst roles are increasingly in demand as more positions require data skills, and companies recognize the value of data-led decision-making. Kamal Albatarni shares key skills for data analysts, including programming basics, SQL, and data visualization.

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
A Data Analyst Must Have These Skills for 2023

Key takeaways

01

Learn the basics of programming, SQL, and data visualization to excel as a data analyst.

02

Python is recommended as an easy-to-learn and widely used programming language in data analytics.

03

SQL skills are essential for retrieving and manipulating data from large databases to meet business needs.

Get featured

Want to get featured in MarketScale Software & Technology?

Create a free MarketScale workspace and get your company's expertise featured across our Software & Technology coverage. No credit card, no demo required.

Request an invite

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.”

Your experts belong here

Every story in MarketScale Software & Technology starts with a company putting its solutions engineers, product teams, and customer engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Buyers ask AI engines who to consider, and published expert answers are what those engines cite.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

SA
Software And Technology

Follow Software & Technology Insights

Get new expert content in your inbox.

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 Software & Technology expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your solutions engineers, product teams, and customer engineers into the articles, video, and social content Software & Technology buyers are searching for. Create a free workspace and see it with your own people. 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

AeroVironment Wins $464.8M Army Laser Deal, First LOCUST Export Order

AeroVironment Wins $464.8M Army Laser Deal, First LOCUST Export Order

On Sept. 2, 2026, AeroVironment announced a $464.8 million U.S. Army contract for the Enduring-High Energy Laser program built on its LOCUST laser system. On Sept. 8, 2026, the company announced its first international purchase order for LOCUST, valued at more than $50 million.

  • 01$464.8 million Army contract for LOCUST X3 systems structured as an Other Transaction Agreement, with deliveries planned over the next few years
  • 02LOCUST X3 is a 30-kilowatt platform-agnostic system planned for JLTV and palletized configurations, with Infantry Squad Vehicle integration still under evaluation
  • 03AeroVironment received its first international purchase order for over $50 million but has not disclosed the customer or delivery timeline

Sep 13, 2026

Survey: AI Boosts Productivity, but Few Firms See Profit Impact

Survey: AI Boosts Productivity, but Few Firms See Profit Impact

McKinsey's 2026 survey found 80% of respondents said AI improved their individual productivity, but only 37% reported AI contributing to their organization's EBIT, a share essentially unchanged from the prior year. Deloitte's parallel 2026 research found companies split between surface-level AI use (37%), redesigning key processes (30%), and deeper transformation of products or business models (34%).

  • 01Most respondents say AI has boosted their individual productivity, but only 37% say it has contributed to their organization's EBIT.
  • 02Enterprises report individual productivity gains from AI, but most have yet to see it contribute to earnings.
  • 03There is a disconnect between productivity gains from AI and actual profit impacts.

Sep 13, 2026

Sanity Adds Agent Context to Its Content Platform

Sanity Adds Agent Context to Its Content Platform

On March 4, 2026, Sanity announced a set of AI features, including Agent Context, Content Agent, Functions, an Agent API, and an MCP server, according to PR Newswire. The release also cited Complex and loveholidays as customer examples of the platform in use.

  • 01Agent Context compresses Sanity schema so AI agents translate natural-language requests into queries, rather than relying on embeddings
  • 02Sanity's Content Agent automates editorial operations like auditing pages, identifying gaps, and staging updates within existing workflows
  • 03External AI agents access structured content through an MCP server with governed access, reducing duplicate data stores and custom integration work

Sep 13, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Experts

SA
Software And Technology
KA
Kamal Albatarni

Full-Stack Engineer & Data/Business Analyst

Kamal Albatarni is a full-stack engineer and data/business analyst. He offers guidance on the essential skills needed for roles in data analytics, focusing on programming, SQL data analysis, and data visualization.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512