Data Career Podcast: Helping You Land a Data Analyst Job FAST cover image

Data Career Podcast: Helping You Land a Data Analyst Job FAST

111: How This Indian Immigrant Landed a Data Job in Canada in 100 Days w/ Krishna Bharatula

May 22, 2024
Krishna Bharatula, an Indian engineer, shares his journey from India to landing a data job in Canada in 100 days using the SPN method. Topics include job hunt strategies, networking, tailoring applications, and advice for aspiring data analysts.
35:35

Podcast summary created with Snipd AI

Quick takeaways

  • Persistence and strategic networking are key in landing a data job in a new country.
  • Tailoring portfolios and engaging in active networking are crucial for job search success.

Deep dives

Krishna's Transition to a Data Imaging Analyst in Canada

Krishna's journey from an Indian engineer to a Canadian data analyst spanned less than 100 days, showcasing his persistence in applying to various jobs. His success came after applying four times to a company where he finally landed a role, attributing his achievement to a strong portfolio and networking. By incorporating the skills gained through the SBN method, highlighting the significance of skills, portfolio, and networking in securing a data job, Krishna shared insights into his transition and enthusiasm for his work as a data imaging analyst dealing with ultrasound images.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode