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Data Analytics

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Data Analytic Literacy

The explosive growth in volume and varieties of data generated by the seemingly endless arrays of digital systems and applications is rapidly elevating the importance of being able to utilize data; in fact, data analytic literacy is becoming as important now, at the onset of the Digital Era, as rudimentary literacy and numeracy were throughout the Industrial Era. And yet, what constitutes data analytic literacy is poorly understood. To some, data analytic literacy is the ability to use basic statistics, to others it is data science ‘light’, and to still others it is just general familiarity with common data analytic outcomes. Exploring the scope and the structure of rudimentary data analytic competencies is at the core of this book which takes the perspective that data analytics is a new and distinct domain of knowledge and practice. It offers application-minded framing of rudimentary data analytic competencies built around conceptually sound and practically meaningful processes and mechanics of systematically transforming messy and heterogeneous data into informative insights. Data Analytic Literacy is meant to offer an easy-to-follow overview of the critical elements of the reasoning behind basic data manipulation and analysis approaches and steps, coupled with the commonly used data analytic and data communication techniques and tools. It offers an all-inclusive guide to developing basic data analytic competencies.

🕵️‍♂️ Curious about the mysterious hiring process of a data career? Find out how Megan McGuire narrows down candidates and assesses skills in the podcast. Get insider knowledge on code assessments, interviews, and what it takes to land the dream data role! 💪📈

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(02:14) - The Value of Junior Analysts

(12:12) - Curiosity and Problem Solving in Data Analytics

(21:46) - Be the perfect candidate for specific company rather than a pretty good candidate

(24:15) - How drive, experience and upskilling set up interviewee success

(28:59) - Show off your skills with your Tableau Public or GitHub Profile

(36:53) - Rejections aren't necessarily your fault

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

In this episode, Marijn Markus & I talked about what it is ACTUALLY like being in the data field, how he transitioned from social science to data science, & discuss some real-world data use cases.

Marijn also shared his experience managing data teams, what makes a good junior hire, why you might not need machine learning, & much, much more.

You don’t want to miss this episode!

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Connect with Marijn: https://www.linkedin.com/in/marijnmarkus/

Timestamps:

(4:40) - Diverse backgrounds matter for programming and stats! (17:42) - Model explanations matter for business (21:00)- The real reason why generative AI became big in December (25:24) - Focus on what you know, not what you don't know (30:14) - You can't control the interview session? Think again!

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Join us as we interview my bootcamp student Erin Shina who recently pivoted her career from music therapy to a financial analyst role at Fortune 50 company Humana.

⁠🏫 Check out my 10-week data analytics bootcamp⁠

📊 Come to my next free “How to Land Your First Data Job” training

Timestamps:

(2:49) - Hybrid work is the new norm, combining office and remote setups. 💼🏠

(6:00) - A supportive boss is crucial in advancing your data career. 👩‍💼🚀

(9:00) - Music therapy offers a fulfilling career path in healthcare. 🎵⚕️

(10:11) - Discover how the Data Analytics Accelerator helped Erin secure a data job. 📊🔍

(14:16) - Showcase your project effectively to increase your interview chances. 📂🎯

(17:25) - Put extra effort into crafting an impactful resume. 📄💪

(21:41) - Your current network could become a valuable referral for your next job opportunity. 🌐🔗

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Generative AI brings a promise to improve lives in a blistering innovation race, but also a threat to people, corporations, and even nations. Data analytics leaders must understand the risks of generative AI, both societal and business-related, to use it positively and avoid the destructive consequences seen with nuclear energy development. Published at: https://www.eckerson.com/articles/the-opportunity-and-risk-of-generative-ai-part-i-a-nuclear-explosion

Geospatial Data Analytics on AWS

In "Geospatial Data Analytics on AWS," you will learn how to store, manage, and analyze geospatial data effectively using various AWS services. This book provides insight into building geospatial data lakes, leveraging AWS databases, and applying best practices to derive insights from spatial data in the cloud. What this Book will help me do Design and manage geospatial data lakes on AWS leveraging S3 and other storage solutions. Analyze geospatial data using AWS services such as Athena and Redshift. Utilize machine learning models for geospatial data processing and analytics using SageMaker. Visualize geospatial data through services like Amazon QuickSight and OpenStreetMap integration. Avoid common pitfalls when managing geospatial data in the cloud. Author(s) Scott Bateman, Janahan Gnanachandran, and Jeff DeMuth bring their extensive experience in cloud computing and geospatial analytics to this book. With backgrounds in cloud architecture, data science, and geospatial applications, they aim to make complex topics accessible. Their collaborative approach ensures readers can practically apply concepts to real-world challenges. Who is it for? This book is ideal for GIS and data professionals, including developers, analysts, and scientists. It suits readers with a basic understanding of geographical concepts but no prior AWS experience. If you're aiming to enhance your cloud-based geospatial data management and analytics skills, this is the guide for you.

In this episode, Avery took a unique approach by going live on LinkedIn and letting the audience ask any question they wanted.

Join us as we dive deep into Avery's insights and practical tips to help you navigate the world of data.

🏫 Check out my 10-week data analytics bootcamp

📊 Come to my next free “How to Land Your First Data Job” training

Timestamps:

(3:09) - What should I have on my portfolio?

(05:24) - How to build a project?

(06:11) - How to stay organized?

(07:08) - Starting w/ Data Science Projects

(16:00) - How to become a better storyteller?

(21:18) - What to do if you're not landing any interviews?

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Over the past 5 years, I’ve taught 1000’s about data analytics.

What have I learned as a teacher?

Where have I seen the most success?

What’s the biggest secret to people who succeed?

In this episode, I’ll share it all :)

🏫 Check out my 10-week data analytics bootcamp

📊 Come to my next free “How to Land Your First Data Job” training

Timestamps:

(3:30) Journey: Teaching data analytics full-time for the past year and a half. 📊

(8:58) Lesson: Skills alone aren't enough to land data jobs. 🎓

(13:06) Focus: Guiding students to low-barrier, rewarding data positions. 🔍

(18:25) Success: Marketing, portfolio, and networking are crucial for data job seekers. 🌟

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Unravel the secret sauce behind starting with dummy projects and paving your way to extraordinary success.

Come and join Avery answered Muhammad’s question on how to get create good data portfolio, and how dummy projects are helpful for upskilling.

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(5:06) - Stepping stone: Dummy projects lead to advancement. 💡

(6:20) - Explore: Find intriguing online project ideas. 🌐

(6:45) - Learn: Embrace initial challenges for growth. ⚽

(7:20) - Mindset: Start, improve, conquer data projects. 🚀

(8:00) - Resources: YouTube, webinars, podcast - career boost.

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Historically in elite team sports, there has often been a dynamic between players and their inherent abilities, and the vision of the coach. In many sports, we’ve seen coaching strategies influence the future of how the game is played. As the era of professionalism swept across many elite sports in the 90s, we saw the highest-level sports teams achieve a competitive edge by looking at the data, with sports fans often noticing a difference in the ‘feel’ of the way their team plays. In Basketball specifically, we have recently seen the rise of the 3-pointer, a riskier and much more difficult shot to accurately hit, even for professional players. But what has driven the rise of the 3-pointer? Is it another trend among coaches, or does the answer lie with data-based insights and the analysts producing these insights? Seth Partnow is the Director of North American Sports at StatsBomb, where he previously served as their Director of Basketball Analytics. Prior to joining StatsBomb in 2021, Seth was the Director of Basketball Research for the Milwaukee Bucks basketball team. Seth is also an accomplished Analyst and Author, having worked as an NBA Analyst for The Athletic since 2019 and having published his own book on basketball analytics, The Midrange Theory. Seth’s knowledge and insight bridges the gap between data analytics and elite US sport.  In the episode, Seth and Richie look into the intricate dynamics of elite basketball. Seth explores the challenges of attributing individual contributions in a sport where the outcome is significantly influenced by the complex interplay between players. Drawing from his extensive experience in the field, Seth discusses the complexities of analyzing player performance, the nuances of determining why certain players get easier or harder shots, and the difficulty of attributing credit for defensive achievements to individual players. Seth provides a comprehensive overview of the various roles within sports analytics, from data engineers to analysts, and highlights the importance of finding one's niche within these roles, particularly in the context of elite basketball. Seth also shares his personal journey into basketball analytics, offering valuable insights and advice for those interested in pursuing a career in this field, stressing the importance of introspection and understanding the unique lifestyle associated with working for a sports team, while also offering industry-agnostic advice on how to approach analyzing and using data in any context.

🎙️ Get ready for an exclusive, behind-the-scenes episode! 🚀

Dive into our members-only content, where you'll learn and gain invaluable insights on the expectations, workings, and fantastic resources of our data career bootcamp.

Take advantage of this incredible opportunity!

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(3:28) - 🏗️ Laying the Foundation: Build your data career from scratch!

(4:54) - 🤝 Community Support: Join a like-minded community to land data jobs!

(7:10) - 🎯 Learn and Upskill: Master data at your own pace!

(9:20) - 🙌 Stay Accountable: Achieve your data goals with our support!

(10:57) - ❤️ Love Data Work: Experience the thrill of working with data!

(11:52) - 🌍 Make an Impact: Change the world with the power of data!

(12:33) - 💰 Lucrative Careers: Earn big with your data skills!

(12:46) - ⏰ Flexible Work: Work on your terms!

(16:28) - 🎮 Project Power: Boost your skills with hands-on projects!

(21:57) - 🤝 Network for Success: Unlock data job opportunities through networking!

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

What does data engineer  @ShashankData  think about AI, Power BI & Cold Messaging?

Listen to find out 👆

Subscribe to Shashank's Channel: https://www.youtube.com/@ShashankData

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Connect with Avery:

📺 Subscribe on YouTube: youtube.com/c/AverySmithDataCareerJumpstart/videos

🎙 Listen to My Podcast: podcasts.apple.com/us/podcast/data-career-podcast/id1547386535

👔 Connect with me on LinkedIn: linkedin.com/in/averyjsmith/

📸 Instagram: instagram.com/datacareerjumpstart/

🎵 TikTok: tiktok.com/@verydata

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Power BI Machine Learning and OpenAI

Microsoft Power BI Machine Learning and OpenAI offers a comprehensive exploration into advanced data analytics and artificial intelligence using Microsoft Power BI. Through hands-on, workshop-style examples, readers will discover the integration of machine learning models and OpenAI features to enhance business intelligence. This book provides practical examples, real-world scenarios, and step-by-step guidance. What this Book will help me do Learn to apply machine learning capabilities within Power BI to create predictive analytics Understand how to integrate OpenAI services to build enhanced analytics workflows Gain hands-on experience in using R and Python for advanced data visualization in Power BI Master the skills needed to build and deploy SaaS auto ML models within Power BI Leverage Power BI's AI visuals and features to elevate data storytelling Author(s) Greg Beaumont, an expert in data science and business intelligence, brings years of experience in Power BI and analytics to this book. With a focus on practical applications, Greg empowers readers to harness the power of AI and machine learning to elevate their data solutions. As a consultant and trainer, he shares his deep knowledge to help readers unlock the full potential of their tools. Who is it for? This book is ideal for data analysts, BI professionals, and data scientists who aim to integrate machine learning and OpenAI into their workflows. If you're familiar with Power BI's fundamentals and are eager to explore its advanced capabilities, this guide is tailored for you. Perfect for professionals looking to elevate their analytics to a new level, combining data science concepts with Power BI's features.

Today I’m chatting with Kyle Winterbottom, who is the owner of Orbition Group and an advisor/recruiter for companies who are hiring top talent in the data industry. Kyle and I discuss whether the concept of data products has meaningful value to companies, or if it’s in a hype cycle of sorts. Kyle then shares his views on what sets the idea of data products apart from other trends, the well-paid opportunities he sees opening up for product leaders in the data industry, and why he feels being able to increase user adoption and quantify the business impact of your work is also relevant in a candidate’s ability to negotiate higher pay. Kyle and I also discuss the strange tendency for companies to mistakenly prioritize technical skills for these roles, the overall job market for data product leaders, average compensation numbers, and what companies can do to attract this talent.

Highlights/ Skip to:

Kyle introduces himself and his company, Orbition Group (01:02) Why Brian invited Kyle on the show to discuss the recruitment of technical talent for data & analytics teams (02:00) Kyle shares what’s causing companies to build out data product teams (04:49) The reason why viewing data as a product seems to be driving better adoption in Kyle’s view (07:22) Does Kyle feel that the concept of data products is mostly hype or meaningful? (11:26) The different levels of maturity Kyle sees in organizations that are approaching him for help hiring data product talent, and how soft skills are often overlooked (15:37) Kyle’s views on who is successfully landing data product manager roles and how that’s starting to change (23:20) What Kyle’s observations are on the salary bands for data product manager roles and the type of money people can make in this space (25:41) Brian and Kyle discuss how the skills of DPMs can help these leaders improve earning potential (30:30) Kyle’s observations and advice to companies seeking to improve the data product talent they attract (38:12) How listeners can learn more about Kyle and Orbition Group (47:55)

Quotes from Today’s Episode “I think data products, obviously, there’s starting to get a bit of hype around it, which I’ve got no doubt will start to lead organizations to look down that route, just because they see and hear about other organizations doing it. ... [but] what it’s helping organizations to do is to drive adoption.” — Kyle Winterbottom (05:45)

“I think we’re at a point now where it’s becoming more and more clear, day by day, week by week, the there’s more to [the data industry] than just the building of stuff.” – Kyle Winterbottom (12:56)

“The whole soft skills piece is becoming absolutely integral because it’s become—you know, it’s night and day now, between the people that are really investing in themselves in that area and how quickly they’re progressing in their career because of that. But yeah, most organizations don’t even think about that.” – Kyle Winterbottom (18:49)

“I think nine times out of ten, most businesses overestimate the importance of the technical stuff practically in every role. … Even data analysts, data scientists, all they’re bothered about is the tech stack that they’ve used, [but] there’s a lot more to it than just the tech that they use.” – Kyle Winterbottom (22:56)

“There’s probably a big opportunity for really good product people to move into the data space because it’s going to be well paid with lots of opportunity. [It’s] quite an interesting space.” – Kyle Winterbottom (24:05)

“As soon as you get to a point where if you can help to drive adoption and then you can quantify the commercial benefit of that adoption to the organization, that probably puts you up near the top in terms of percentile of being important to a data organization.” – Kyle Winterbottom (32:21)

“We’re forever talking in our industry about the importance of storytelling. Yeah, I’ve never seen a business once tell a good story about how good it is to work for them, specifically in regards to their data analytics team and telling a story about that.” – Kyle Winterbottom (39:37)

Links Kyle’s LinkedIn: https://www.linkedin.com/in/kylewinterbottom/ Orbition Group: https://www.orbitiongroup.com

Will AI replace data analyst? Is it going to happen? Has it already happened?

In this episode, I wanted to dig into if I actually think that's going to be the case.

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(01:00) - Brace yourself: AI has ARRIVED! 🤖

(01:44) - Is your data analyst job in jeopardy? AI vs. Human Skills 💼

(02:54) - The art of data analysis using AI 🚀

(03:29) - AI is just a tool 🧮

(04:01) - AI is just like Google 🔓

(05:55) - Job Security? Get good at AI 🌟

(07:18) - Humans make decisions ✨

(08:00) - Join the Ultimate Data Bootcamp! 📚💪

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Your dream data job might be closer than you realize. Don't overlook the hidden gem right in front of you: internal positions. Landing an internal job is easier than going through the external route.

🌟 Join the data project club! 📊 Come to my next free “How to Land Your First Data Job” training 🏫 Check out my 10-week data analytics bootcamp

Timestamps: (0:00) - The Best Place to Land Your First Job (2:58) - How I Landed My First Data Job (7:11) - Your Company Has a Data Team? (10:22) - Network Inside Your Company (12:54) - Use data at your current position (14:01) - Attend Data Events

Connect with Avery: 📺 Subscribe on YouTube 🎙Listen to My Podcast 👔 Connect with me on LinkedIn 📸 Instagram 🎵 TikTok Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Embedded Analytics

Over the past 10 years, data analytics and data visualization have become essential components of an enterprise information strategy. And yet, the adoption of data analytics has remained remarkably static, reaching no more than 30% of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of our everyday operations. Authors Donald Farmer and Jim Horbury show business users how to improve decision making without becoming analytics specialists. You'll explore different techniques for exchanging data, insights, and events between analytics platforms and hosting applications. You'll also examine issues including data governance and regulatory compliance and learn best practices for deploying and managing embedded analytics at scale. Learn how data analytics improves business decision making and performance Explore advantages and disadvantages of different embedded analytics platforms Develop a strategy for embedded analytics in an organization or product Define the architecture of an embedded solution Select vendors, platforms, and tools to implement your architecture Hire or train developers and architects to build the embedded solutions you need Understand how embedded analytics interacts with traditional analytics

The Story of DevRel at Snowflake - How We Got Here | Snowflake

ABOUT THE TALK: In this talk, Felipe Hoffa and Daniel Myers present an honest take of their wildly different approaches to Developer Relations and how both have been critical in building Snowflake's world-class developer community and ecosystem from the ground up. Learn how they define DevRel KPIs & metrics and daily challenges they face and lessons learned along the way. You might even get inspired to become a Developer Advocate after understanding the different ways to engage with the Snowflake community and what's next for Snowflake Developer Relations.

ABOUT THE SPEAKERS: Felipe Hoffa is the Data Cloud Advocate at Snowflake. Previously he worked at Google, as a Developer Advocate on Data Analytics for BigQuery, after joining as a Software Engineer. He moved from Chile to San Francisco in 2011. His goal is to inspire developers and data scientists around the world to analyze and understand their data in ways they never could before.

Daniel Myers is in Developer Relations and previously held roles at different companies, including Google, Cisco, and Fujitsu. In addition, he led and founded multiple startups.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

Wanna become a data analyst? Start here. This is the most upvoted post in the r/datanalysis history, full of advice and a roadmap to becoming a data analyst. Join me as I'm going to be diving into what their advice was and if I agree or disagree with it.

🌟 Join the data project club! “25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training 🏫 Check out my 10-week data analytics bootcamp

Timestamps: (0:52) - Do I need a degree? (1:34) - Is Google Data Analytics Cert enough? (3:39) - Will my degree help me? (5:54) - What do I need to learn? (8:07) - Do certifications matter? (9:01) - Can I get a job right away? (10:36) - Is having a degree is enough? (11:41) - Build a strong foundation (11:58) - Get hands-on experience (12:21) - Build your network (12:40) - Should You Get a CS Degree? (13:09) - Should I learn Machine Learning (13:54) - Build a portfolio (14:31) - Create a personalized resume (14:51) - Practice every day (14:59) - Have the right attitude (15:20) - Applying for the jobs (16:13) - Be very patient

Connect with Avery: 📺 Subscribe on YouTube 🎙Listen to My Podcast 👔 Connect with me on LinkedIn 📸 Instagram 🎵 TikTok Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa