• TSP #6 - Breaking Into Data Analytics with Neil Bagchi

  • Mar 14 2024
  • Length: 1 hr and 23 mins
  • Podcast

TSP #6 - Breaking Into Data Analytics with Neil Bagchi  By  cover art

TSP #6 - Breaking Into Data Analytics with Neil Bagchi

  • Summary

  • Embarking on a journey into data analytics presents its own set of challenges, especially for those new to the field. This episode of "The Starlight Podium" brings forth Neil Bagchi, a distinguished Business Intelligence Specialist, whose varied experiences across data analytics, engineering, science, and BI have equipped him with insights invaluable for aspirants stepping into this domain.

    In This Episode: Neil peels back the layers on what it truly takes to break into and succeed in data analytics. From understanding foundational skills, tackling programming for beginners, to strategizing job hunting in a competitive landscape — Neil addresses pressing questions that loom over freshers and professionals eager to pivot to analytics.

    Tune In If You're Wondering:

    • What skills are essential for a data analytics role?
    • How can someone from a non-technical background learn programming effectively?
    • What strategies can aid in finding a job in data analytics?
    • How does one stand out in the fierce competition of today's job market?
    • Are individuals without a relevant background at a disadvantage?

    Neil also delves into the importance of building business context around your data projects, emphasizing how this approach not only enhances project quality but also makes your work resonate with real-world applications and strategic goals.


    SECTIONS:

    • (0:00) - Episode Overview

    PART 1: KYG - KNOW YOUR GUEST (3:53)

    • (4:09) - Neil's Introduction
    • (13:25) - Analytics Project lifecycle In Organizations
    • (18:16) - Areas To Focus When Entering An Organization
    • (24:01).- A Day In The Life Of A Data Analyst
    • (26:31) - Is The Work Of A Data Analyst Tied To Other Data Teams (& Skills Used) ?

    PART 2: SKILLS TO PRIORITIZE (29:50)

    • (29:50) - How Much Python To Learn & How To Practice ?
    • (34:49) - YouTube vs Paid Courses: How To Choose Learning Platform ?
    • (40:31) - Importance Of Soft Skills & Communication
    • (45:15) - Should We Invest In Learning Other Skills such as AI as Data Analyst ?

    PART 3: JOB MARKET (50:47)

    • (51:16) - How Can Freshers Showcase Value In Interview Without Prior Experience / Project Portfolio Tips ?
    • (57:16) - Why IT/CS/Engineering/Math Candidates Preferred ?
    • (01:00:56) - How Building Industry Connections & Creating Content Can Help ?
    • (01:02:56) - Why Entry Level Positions Seek Experienced Candidates ?
    • (01:05:57) - How To Build Real Work Experience With Data / Making A Standout Project Portfolio ?
    • (01:08:12) - Finding A Job In Analytics Outside India
    • (01:15:08) - Is Data Analyst Still An Exciting or Prosperous Career Path To Pursue ?

    PART 4: FINAL WORDS (1:19:05)


    🔗 CONNECT WITH NEIL

    ⁠⁠⁠👥 Linkedin

    🔗 CONNECT WITH VARUN

    ⁠👥 Linkedin⁠

    🎙 ABOUT THE PODCAST

    'The Starlight Podium' is a podcast where we explore the boundless opportunities in data-driven decision-making. Discover firsthand insights from industry experts thriving in domains such as data science, analytics, and business intelligence. Also, learn actionable strategies to kickstart your journey into your dream data role. Tune in for an exciting exploration of the data world

    🎧 LISTEN FOR FREE

    Spotify - https://podcasters.spotify.com/pod/show/varun-sagar-theegala1⁠

    🙏 LEAVE A REVIEW

    If you enjoyed listening to the podcast, I’d love for you to leave a rating & review (based on your experience) on Spotify or Apple Podcasts to help others discover the show

    👋🏼 GET IN TOUCH

    You can reach out to me directly on LinkedIn using my profile link or tag me in a LinkedIn post with @Varun Sagar Theegala with any feedback, ideas or thoughts about the lessons you've learnt from the episodes + any topics you want me to explore in upcoming episodes


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