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A data analyst, scientist, and engineer walk into a bar...w/ Danielle Oberdier

A data analyst, scientist, and engineer walk into a bar...w/ Danielle Oberdier

FromCatalog & Cocktails: The Honest, No-BS Data Podcast


A data analyst, scientist, and engineer walk into a bar...w/ Danielle Oberdier

FromCatalog & Cocktails: The Honest, No-BS Data Podcast

ratings:
Length:
60 minutes
Released:
Oct 7, 2021
Format:
Podcast episode

Description

Quick, what’s the difference between a data engineer and a data analyst? One preps the data, the other analyzes the data, right? A data scientist, meanwhile, analyzes more complex and disorganized data. The truth is all three of these roles perform overlapping functions leading to an incredible amount of confusion in the job market.
Join Tim, Juan and special guest Danielle Oberdier, founder of DiKayo Data and host of the popular DataFemme podcast, to talk about the state of data jobs. How do we make sense of the roles that are out there today, who should companies be looking for in their hiring process, and what new and exciting data positions are starting to emerge?
This episode will feature:

Certifications that make you more marketable
How to stand among your peers in a crowded job market
What was the very first job you ever had?
Released:
Oct 7, 2021
Format:
Podcast episode

Titles in the series (100)

Listed in the TOP 3 Knowledge Management Podcasts You Must Follow in 2021, Catalog & Cocktails is an honest, no-BS, non-salesy conversation about enterprise data management and analytics. This is your 30-minute elixir containing everything interesting about data and metadata management, DataOps, architecture, and more. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders.