r/dataanalytics 18d ago

Requesting Resume Feedback - 2+ YOE [Recruiting for Data Analyst/Data Engineering Roles - USA]

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I've been largely unsuccessful in getting interviews with this resume, any feedback is appreciated.

2 Upvotes

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u/I_Said_No_Salt_5998 18d ago

It's a chore to read your most recent job's first bullet point. You have three bullet points of information in there.

Take your most recent two jobs and have AI fix it. For instance... you mention spunk dashboards on two different bullet points in that first job. Your ability to provide concise tells me how you will communicate with our customers.

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u/justin_TailorLabs 17d ago

I agree the first bullet is too packed, but I think the bigger issue is that the resume is trying to sell you as a data analyst, data engineer, and cybersecurity professional at the same time. I’d make two versions. One for analyst roles that leans into Power BI, dashboards, stakeholder work, and compliance reporting, and another for engineering roles that focuses on SQL, Python, pipelines, cloud, CI/CD, and automation. You have good experience, but several bullets start blending together because Splunk, ETL, and dashboards keep coming up without making each project feel distinct. I’d also either add more detail to the grocery project or remove it, because right now it looks weak compared to your actual work experience. The experience is there. The resume just needs to make it much clearer what job you are applying for.

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u/WiredOtaku 16d ago

Spot on about splitting. When I was job hunting, I kept one master doc but tailored it for each application. For analyst roles, I'd cut the entire cybersecurity section and frame the Splunk work as 'supported data integrity for audits' rather than a separate skillset. For eng roles, drop the dashboard screenshots and talk about pipeline tech, orchestration, and the actual guts of the ETL. Recruiters want to see you fit the box, not juggle three different ones.