How can you transform your organisation with AI? Join the conversation with Jason Foster and Charlie Stack, Global Data, Analytics & AI Practice Leader at Spencer Stuart, as they discuss the culture, processes and mindset shifts that leaders need to adopt to leverage AI in their businesses. Discover practical tips on generating and testing business hypotheses, empowering cross-functional teams, and breaking habitual behaviours that create obstacles to innovation and experimentation. Tune in now to learn how to leverage AI for your business.

Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. They work with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and change management and leadership. The company was named one of The Sunday Times' fastest-growing private companies in 2022 and 2023 and named the Best Place to Work in Data by DataIQ in 2023.For more information, visit www.cynozure.com.

Although Python is talked about a lot in the data world, if you are aiming for your first data analyst role, I don’t think you should learn it.

It takes too much time, it’s hard to learn, and it’s hard to use.

In this episode, I’ll dive into more of the specifics and what to focus on instead.

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▶️ Want to be a Data Analyst? Learn These Skills w/ Luke Barousse

Timestamps:

(01:00) Why You Shouldn't Learn Python (04:11) Is Python in Demand? (06:03) What To Know in Python

Connect with Avery:

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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

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 09, host Frannie Helforoush (Senior Digital Product Manager at RBC Global Asset Management) talks to guest Jill Maffeo (Principal Product Manager at Vista). Jill is a data and product management practitioner who joins Frannie in conversation to talk about building and leading effective data and product teams. There's a lot for listeners to takeaway including challenges faced by Jill and how to foster collaboration and drive success. A few of the big questions tackled in this episode are: What are the key elements in building a cohesive and productive team? How can you optimize team structures for efficiency and innovation? What is the 'Product Trio', and why is it crucial for creating successful digital products? How do you integrate data-driven insights into the product development lifecycle? What team metrics or process metrics to follow to align a team? Should a data product manager report to a CPO or a data leader?   About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. About our guest Jill Maffeo: Jill has a background in analytics and product management, with experience spanning teams focused on channels and marketing, customer retention, customer service, and ecommerce site platforms. Currently, she leads the strategy for Site Search at Vistaprint, overseeing a dynamic team of software engineers, data engineers, a data product analyst, and data scientists dedicated to enhancing customer and partner experiences. Jill's professional passion lies in metadata development and management, providing solid foundational data to build models and orchestrate customer journeys. Outside of work, she enjoys good books, tasty food, and going on walks. Connect with Jill on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

A claim: in the world of business analytics, the default/primary source of data is real world data collected through some form of observation or tracking. Occasionally, when the stakes are sufficiently high and we need stronger evidence, we'll run some form of controlled experiment, like an A/B test. Contrast that with the world of healthcare, where the default source of data for determining a treatment's safety and efficacy is a randomized controlled trial (RCT), and it's only been relatively recently that real world data (RWD) -- data available outside of a rigorously controlled experiment -- has begun to be seen as a useful complement. On this episode, medical statistician Lewis Carpenter, Director of Real World Evidence (there's an acronym for that, too: RWE!) at Arcturis, joined Tim, Julie, and Val for a fascinating compare and contrast and caveating of RWD vs. RCTs in a medical setting and, consequently, what horizons that could broaden for the analyst working in more of a business analytics role. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

In this session, Rick Sears, General Manager of Amazon Athena, EMR, and Lake Formation at AWS, explores how generative AI is revolutionizing businesses and the critical role data plays in this transformation. He discusses the evolution of AI models and the importance of a comprehensive data management strategy encompassing availability, quality, and protection of data.

Mark Greville, Vice President of Architecture at Workhuman, shares insights from Workhuman's journey in building a robust cloud-based data strategy, emphasizing the significance of storytelling, demonstrating value, and gaining executive support.

Kamal Sampathkumar, Senior Manager of Data Architecture at Workhuman, delves into the technical aspects, detailing the architecture of Workhuman's data platform and showcasing solutions like Data API and self-service reporting that deliver substantial value to customers.

Learn more at: https://go.aws/3x2mha0

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ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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The CrowdStrike debacle delayed this week's Inside Economics podcast but did not deter it. PNC Chief Economist Gus Faucher joined the team to talk about his outlook for the economy, the conduct of monetary policy and his thinking around the election and what it means for policy and the economy. Despite living in Pittsburgh now, it was good to hear he remains a Phillies fan.   Today's Guest: Augustine Faucher, Chief Economist - The PNC Financial Services Group   Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X' @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

Being able to present your analysis and convince your teammates to take action is a huge part of the job for any Data Analyst or Data Scientist. But for many of us, delivering effective presentations isn't something that comes naturally. Fortunately, everyone (including you) can improve their communication skills if they know what to focus on. In this session, we'll be sharing some of the best strategies and actionable advice to help you capture your audience, tell a story with your data, and most importantly, drive impact for your organization. You'll leave with specific tips that you'll be able to use immediately to take your presentation game to the next level.   What You'll Learn Why most presentations flop and how you can succeed How to stop sharing data and start telling stories instead The scientific approach to getting your audience to listen   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Christopher Chin is a techie-turned leadership communication coach. He previously worked for Fortune 500 tech companies like Thermo Fisher Scientific, Humana, and Fannie Mae in the specialties of data journalism, data science, data visualization, and business intelligence. Each time, he saw extremely talented colleagues struggle to get the opportunities they deserved because they couldn't present, tell a story, and speak with confidence. Now he works as Founder & CEO of The Hidden Speaker, a training consultancy that puts tech professionals on the path to confident communication. He has returned to Fortune 500 companies to train their technical teams with highly specialized communication workshops, as well as taught for companies and universities around the world. As a speaker, coach, and trainer, Christopher's work has helped thousands demonstrate leadership through communication and he is passionate about convincing every introverted, techie out there that they, too, can bring out their hidden speaker. Check out Christopher's free e-book + Newsletter: The Ultimate Data Storytelling and Presentation Guide   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter  

This is an incredible episode where Avery took on listener questions and questions from you guys.

It’s kind of ragtag. Multiple questions here concern how to start your data career and what you should do in that process.

So, if you’re on that journey, this episode is for you.

⁠📩 Get my weekly email with helpful data career tips⁠

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Timestamps:

(01:30) Where do I start?

(02:15) Networking 101

(03:25) From truck driver to data analyst

(04:30) Finally given up data analyst career

Connect with Avery:

📺 Subscribe on YouTube

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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

This special episode of DataFramed was made in collaboration with Analytics on Fire! Nowadays, the hype around generative AI is only the tip of the iceberg. There are so many ideas being touted as the next big thing that it’s difficult to keep up. More importantly, it’s challenging to discern which ideas will become the next ChatGPT and which will end up like the next NFT. How do we cut through the noise? Mico Yuk is the Community Manager at Acryl Data and Co-Founder at Data Storytelling Academy. Mico is also an SAP Mentor Alumni, and the Founder of the popular weblog, Everything Xcelsius and the 'Xcelsius Gurus’ Network. She was named one of the Top 50 Analytics Bloggers to follow, as-well-as a high-regarded BI influencer and sought after global keynote speaker in the Analytics ecosystem.  In the episode, Richie and Mico explore AI and productivity at work, the future of work and AI, GenAI and data roles, AI for training and learning, training at scale, decision intelligence, soft skills for data professionals, genAI hype and much more.  Links Mentioned in the Show: Analytics on Fire PodcastData Visualization for Dummies by Mico Yuk and Stephanie DiamondConnect with Miko[Skill Track] AI FundamentalsRelated Episode: What to Expect from AI in 2024 with Craig S. Smith, Host of the Eye on A.I PodcastRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Send us a text Mastering SEO and Consumer Insights with Sam Torres, CDO of Gray Dot Company. And getting educated on gaming.   Sam Torres is the Chief Digital Officer and co-founder of The Gray Dot Company, Gray Dot Company is a consulting firm that specializes in search engine optimization. Sam outlines expertise in complex digital analytics and consumer insights data.   03:40 Meet Sam Torres05:57 Marketing Platforms07:49 Digital Consumer Intelligence14:55 Defining Success17:55 AIs Impact on Google22:07 Should I Trust Sponsored Adds?23:58 GenAI Positives  LinkedIn: linkedin.com/in/samantha-torres-seo Website: https://thegray.company,  https://legendarypodcasts.com/sam-torres/   Want to be featured as a guest on Making Data Simple? Reach out to us [email protected] and tell us why you should be next. The MakingData Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, wherewe explore trending technologies, business innovation, and leadership ... whilekeeping it simple & fun.   Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Analytics in different contexts, featuring two speakers.

Philipp Carlsson-Szlezak, Boston Consulting Group’s Global Chief Economist, joins the Inside Economics team to share his views on the economy and discuss his newly published book. He makes the case that macroeconomic threats are intensifying and can no longer be ignored by decisionmakers. He also provides a nifty framework for how to assess the seriousness of these threats and not get caught up in the doom and gloom that often characterize them.   Today's Guest: Philipp Carlsson-Szlezak - Global Chief Economist, Boston Consulting Group,  Click here to learn more about Philipp Carlsson-Szlezak Click here for Philipp Carlsson-Szlezak's book   Guest Host: Matt Colyar - Assistant Director, Moody's Analytics Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X' @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

Para explorar as etapas de um processo seletivo na área de dados e como se preparar para uma boa entrevista, debatemos com as nossas convidadas as polêmicas associadas ao processo, como os desafios técnicos, o uso de plataformas de IA nas seleções, além de fornecer dicas e destacar as habilidades valorizadas pelos recrutadores e a frente técnica.

Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Renata Biaggi, Data Scientist & AI Solutions na Celfocus, e Luna Metz, Tech Recruiter Specialist. 

Juntas, elas compartilham como se preparar para entrevistas e processos seletivos em dados, além de histórias inusitadas que marcaram suas jornadas.

Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo!

Nossa Bancada Data Hackers:

Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Referências:

Website: www.renatabiaggi.com Instagram: @prof.renatabiaggi: www.instagram.com/prof.renatabiaggi O método DEFINITIVO para passar em entrevistas de Data Science: https://www.youtube.com/watch?v=wF_zkr2vTz4&t=67s

Data quality is the foundation of everything we do as Data Analysts and Data Scientists. So why do so many organizations suffer from dirty data? And what can you do to clean it up? In this session, we'll share some of the best data cleaning strategies and real actionable advice from The Classification Guru, Susan Walsh. You'll leave with a solid plan to start identifying problems with your data, and most importantly, to start fixing them on the path to clean data. What You'll Learn: Why dirty data is such a big problem, and the benefits of cleaning it up The most common types of dirty data you should be on the lookout for Where you should focus your data cleaning efforts to make the biggest impact   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Susan Walsh is a specialist in data classification, taxonomy customisation and data cleansing. She also created the COAT philosophy, which is at the core of The Classification Guru's work. By bringing clarity and accuracy to data and procurement, Susan helps teams work more effectively and efficiently More than a numbers gal, Susan's also an industry thought leader, TEDx speaker and author of the published 'Between the Spreadsheets: Classifying and Fixing Dirty Data'. She's also spoken globally at events such as ProcureCon, Big Data LDN, Big Data & AI World and she cuts through the jargon to address the issues of dirty data and its consequences in an entertaining and engaging way. Fix your dirty data now: www.theclassificationguru.co   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Data analytics is a balance of flexibility for innovation and governance to control risks. This blog discusses its implications for artificial intelligence (AI), including machine learning (ML) and generative AI (GenAI). Published at: https://www.eckerson.com/articles/ai-ml-innovation-requires-a-flexible-yet-governed-data-architecture

Dive into a world where data meets sustainability. In this episode, Jason Foster sits down with Simon Leesley, the COO of Too Good to Go, the revolutionary marketplace on a mission to end food waste. Discover Simon's inspiring journey, the mission and vision of Too Good to Go and how the company works with 165,000 partner stores across 17 markets. Join the conversation and discover data's pivotal role in optimising the user experience, balancing supply and demand, and fostering a culture of intellectual curiosity. Will their data-driven approach be the recipe for saving our planet? Tune in to find out!

Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. They work with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and change management and leadership. The company was named one of The Sunday Times' fastest-growing private companies in 2022 and 2023 and named the Best Place to Work in Data by DataIQ in 2023.For more information, visit www.cynozure.com.

Avery interviews Sai, a lead data analyst at Blue Cross Blue Shield of South Carolina.

Sai shares his journey from a small town in India to a successful career in data analytics in the U.S. He discusses his educational background, challenges, strategies to land a job, and success on LinkedIn and TopMate as a career coach.

Connect with Venkata Sai

🤝 Follow on Linkedin

📩 Get my weekly email with helpful data career tips

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

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(04:00) Challenges and Competitions (12:55) Navigating Job Search and Visa Issues (20:46) Advice for Aspiring Data Professionals

Connect with Avery:

📺 Subscribe on YouTube

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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

How good are humans at distinguishing between human-generated thoughts and AI-generated…thoughts? Could doing an extremely unscientific exploration of the question also generate some useful discussion? We decided to dig in and find out with a show recorded in front of a live audience at Marketing Analytics Summit in Phoenix! With Michael in the role of Peter Sagal, Julie, Tim, and Val went head-to-GPU by answering a range of analytics-oriented questions. Two co-hosts delivered their own answers, and one co-host delivered ChatGPT's, and the audience had to figure out which was which. Plus, a bit of audience Q&A, which included Michael channeling his inner Charlie Day! This episode also features the walk-on music that was written and performed live by Josh Silverbauer (no relation to Josh Crowhurst, the producer of this very podcast who also wrote and recorded the show's standard intro music; what is it about guys named Josh?!). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the  show page.

Struggling to secure a data analyst job? You're not alone!

These advices in this episode help you stand out and land your dream data job even with no prior experience. Tune in for insider tips and real success stories!

🧙‍♂️ Ace the Interview with Confidence

⁠

⁠📩 Get my weekly email with helpful data career tips⁠

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

⁠🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(02:30) The Scarcity of Remote Analyst Opportunities (05:32) The Frustration of Ghost Postings (08:29) Conclusion: Navigating the Tough Job Market

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

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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

Brian Ferris is a seasoned expert with over two decades of experience in technology and advanced analytics. Brian has an impressive track record, having worked in IT consulting for 9 years and client-side roles for 13 years with major organisations like the European Central Bank, BAT, Heineken, Nike and Loyalty New Zealand. In this episode, we dive into Brian's journey from supply chain operations to becoming Chief Data, Analytics and Technology Officer at Loyalty New Zealand. We explore the pivotal moments that shaped his approach to analytics and the leadership qualities essential for fostering a culture that embraces advanced analytics. We also discuss his new book, "Transition to Advanced Analytics: Get a Return on Your Analytics Investment," co-authored with Jason Tan. Brian shares what inspired him to write the book, provides a synopsis, and highlights key takeaways for organisations looking to transition to advanced analytics. Topics covered: Brian's analytics leadership journey: Discover the key factors that contributed to Brian's successful career progression and the pivotal moments that shaped his approach to analytics.Leadership in analytics: Learn about the essential leadership qualities needed to drive analytics initiatives and foster a culture that embraces advanced analytics.Evolution of analytics roles: Understand how the role of data scientists and analysts has evolved and which skills are now more critical than ever.Underrated tips and tricks: Brian shares practical tips and tricks that all data and analytics teams should use to increase their impact.About the book: Hear what inspired Brian to write "Transition to Advanced Analytics" and get a detailed synopsis of the book, including who it’s for and why it's essential reading.Common pitfalls and key takeaways: Find out the most common pitfalls organisations face when transitioning to advanced analytics and the key lesson Brian hopes readers will take away from the book.Brian on LinkedIn: https://www.linkedin.com/in/brian-ferris-a053532/ Brian's book, "Transition to Advanced Analytics: Get a Return on Your Analytics Investment".