Recommended Skills to bolster your chances of getting Data Analyst Job

After talking to recently placed Wynisco Inc. candidates for data analyst roles,
I highly recommend learning a few additional skill sets to bolster your chances.

We all know that you need to learn Python, SQL, a visualization tool, and Excel.

The first skill I’d recommend is CRM (preferably Salesforce or HubSpot).
Knowing both would be an even better idea.

As a data analyst, you will be interacting with CRM APIs to fetch and update records. CRM data can include sales, marketing, and other types of intelligent data that you can leverage to your advantage.

In addition to CRM, you should have a solid understanding of sales and marketing funnels and how they work.

For example:
How do you qualify a lead as a data analyst and pass it to the right territory, person, account, team, or region? You’ll use data analysis skills to examine history, public domain information, and other relevant data sources to qualify leads effectively.

The second skill would be Shopify.

Tons of companies are moving away from custom portals to Shopify, and they need data analysts who understand the platform, can pull data, and make sense of it.

Understanding Shopify's API to facilitate data exchange between systems would be a great skill to have.

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Finally, I’d double down on Excel skills. You’d be surprised how many companies still use Excel—it’s quite a powerful and underrated tool.

We learn all the fancy stuff, but companies often want you to perform analysis using Excel.

If there are any other skills in the market that you’ve come across as valuable add-ons, please comment!

Follow Sachin Rajgire Wynisco Inc.