We're sunsetting PodQuest on 2025-07-28. Thank you for your support!
Export Podcast Subscriptions
cover of episode 839: Double Your Data Salary in 11 Months, with Jess Ramos

839: Double Your Data Salary in 11 Months, with Jess Ramos

2024/11/26
logo of podcast Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn
AI Deep Dive AI Chapters Transcript
People
J
Jess Ramos
Topics
Jess Ramos分享了她从数学专业到数据分析师的职业发展历程，以及如何通过社交媒体内容创作提升个人品牌和职业发展。她详细阐述了SQL的重要性，以及如何通过内部谈判和跳槽来提升薪资。她还分享了创建SQL课程的经验，以及如何将复杂的数据问题转化为易于理解的内容。此外，她还谈到了在数据分析领域中女性面临的刻板印象，以及如何挑战这些刻板印象。 Jess Ramos还分享了她对数据分析职业发展道路的建议，包括学习数据可视化、基本统计和SQL等技能，以及如何选择适合自己的学习路径，例如自学、参加Bootcamp或攻读研究生学位。她还强调了导师和经理的支持对职业发展的重要性，以及如何通过社交媒体建立人脉和拓展职业机会。最后，她推荐了书籍《武器的数学破坏》，并分享了她对女性在STEM领域平等的倡导。

Deep Dive

Chapters
Jess discusses her educational background in math and business analytics, and how internships during her studies helped her transition into a career in data analytics.
  • Jess pursued a math degree and later a masters in business analytics.
  • Internships during undergrad and grad school provided practical experience and helped her secure full-time roles.
  • Her internships included developing insights from enrollment data and leading meetings with the sales team.

Shownotes Transcript

Jess Ramos is redefining success in data analytics. As the Founder of Big Data Energy and a Senior Data Analyst at Crunchbase, she’s mastered the art of salary negotiation, built a massive social media following, and turned her passion for data into a thriving personal brand. She reveals how she doubled her salary in under a year, created her own SQL course, and advocates for women in STEM.

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected]) for sponsorship information.

In this episode you will learn:

  • (03:42) How Jess got her start in data analytics

  • (09:14) Why SQL is the most critical skill for data professionals

  • (11:46) How Jess more than doubled her salary in less than a year

  • (20:16) Tips for transitioning from a data job to creating your own business

  • (31:20) The various routes to a career in data science

  • (39:13) How Jess challenges STEM stereotypes

Additional materials: www.superdatascience.com/839)