Prithvi S.’s Post

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Data analytics | Business intelligence | Data analytics mentorship | H-E-B | LinkedIn Top BI voice | Transforming Numbers into Strategic Decisions for Inventory, Profit, Pricing, and Freight Management 📊🛒

When it comes to crafting a resume for a data analyst or a BI role, quite often I have observed individuals put details like “utilized tableau dashboards to deploy metrics tracking leading to x% conversions”. These are all very quantitative measures. While most of those are absolutely important and must-haves to show your accomplishments and value-add, the qualitatives many times get ignored. Why are the qualitatives important aspects to be shown in a resume? The qualitatives such as communication, team player attitudes and trust building are critical factors that determine the person’s ability to be able to work with others and ensure alignment between technical and non-technical stakeholders. In my experience, when I look back at my university days, I spent most of my time doing data analysis on datasets to build outcomes and score the good grades. In the real industry world, while the data analysis matters, other factors such as stakeholder engagement and alignment were often more critical. How does one mention the qualitative factors in a resume? Within one’s work experience, points such as “collaborated with stakeholders to conduct interviews and gathering of requirements” or “ensured alignment between technical and business teams establishing a sense of trust across the organization” can really go a long way in landing those BI or data analyst interviews. Feel free to reach out for discussion regarding your experiences on the same. Always happy to chat. #dataanalytics #businessintelligence #data #resume

Tejashree Waghmode

| AWS DevOps | OS | N/w | Linux | Python | Jenkins | Docker | Kubernetes | CI/CD | SQL | Excel | INFORMATICA | ETL | AZURE | Waiting for Work permit in USA (H4-EAD) |Ex-TCS|18k+ Followers

8mo

Highlight teamwork, stakeholder engagement, and trust-building experiences in your work descriptions to improve your chances of landing BI or data analyst interviews.

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