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

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Breaking into data feels harder than ever right now. I break down the real trends shaping the data job market in 2026 and what they mean for your career.💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulatorSpecial thanks to Live Data Technologies for the data.Learn more about them: https://www.livedatatechnologies.com⌚ TIMESTAMPS 00:00 – The real state of the data job market in 202602:18 – Why data engineering keeps growing while other roles slow down05:41 – Who is actually hiring data analysts right now07:56 – Why big tech layoffs don’t tell the full story🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website

Explore predictions about the future of data analytics by 2026. Fewer applicants are expected, making entry-level roles easier to secure. Discover how AI will enhance, not replace, analysts, and why domain expertise will be crucial. Enterprises are predicted to adopt AI slowly due to security and rollout concerns. The conversation emphasizes that analytics remains a solid career choice, encouraging those with domain experience to pivot towards this promising field.

In this episode, Jordan Temple, a former construction cost estimator turned senior financial analyst, shares his unique journey into data analytics. He reveals how his background actually gave him an edge in the field. Jordan discusses essential tools he uses daily, including Excel and Power BI, and emphasizes the importance of building a strong portfolio to attract recruiters. He shares valuable insights on leveraging LinkedIn for job offers and highlights his interview process, focusing more on cultural fit than just technical skills.

The host shares a personal journey from being overlooked to becoming a sought-after data analyst. Key strategies include leveraging domain experience to tailor resumes and enhancing skills. Networking is emphasized as essential, with techniques like cold messaging and event attendance highlighted. The importance of building both physical and digital portfolios to showcase skills in analysis, statistics, and machine learning is also discussed. These simple yet effective fixes can transform a job search into a success story.

Andre Curti, cofounder of NovoResume and a resume expert who has reviewed thousands, shares invaluable insights into data analyst resumes. He reveals the biggest mistake job seekers make: listing tasks instead of impactful achievements. Andre emphasizes crafting bullet points using the context-action-impact formula and offers practical ATS optimization tips. He highlights the importance of storytelling in resumes and advises career changers to adopt skill-based formats. Authenticity, he argues, is key in a world increasingly influenced by AI.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I unpacked the 7 biggest myths circulating in the data career space and reveal what actually matters when trying to land your first role.💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator⌚ TIMESTAMPS 00:00 – Myth #1: “Data Analyst is the only title”02:00 – Myth #2: “You have zero data experience”04:23– Myth #3: “You need to learn ALL the data skills”06:03 – Myth #4: “You need a degree or certificate”07:40 – Myth #5: “Data jobs are easy to land”09:14– Myth #6: “Most data jobs are remote”11:08 – Myth #7: “AI is going to take your data job”🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode:🎉 The 2026 Cohort of The Data Analytics Accelerator 🎉Ready to land your data job in 2025? We're starting the 2026 Cohort on January 12th. This bootcamp is everything you need to land your first data job. Check out our New Year's sale & bonuses: https://datacareerjumpstart.com/daahttps://www.datacareerjumpstart.com/daa

Dive into the essentials of acing data analyst interviews, starting with the classic 'Tell me about yourself' question. Discover key distinctions between 'WHERE' and 'HAVING' in SQL with practical examples. Explore troubleshooting techniques for analyzing user signup drops, ensuring you're prepared for real-world scenarios. Get insights into building innovative applications using Replit, where you'll find exciting free access opportunities. Plus, don't miss the special end-of-year sale for enrolling in the Data Analytics Accelerator!

Curious about the data job market? Discover the worst and best states for data analysts, including a dive into why places like Alaska and Vermont rank low. Learn how to fairly compare opportunities by examining job counts per capita. The conversation spotlights Georgia and D.C. as top contenders for data jobs, thanks to supportive job markets and unique demographics. With insights from aspiring data analysts, you'll get practical advice for navigating the landscape and landing your dream role in less than 90 days!

Discover the essential skills needed to break into data analysis, including the importance of Excel, Tableau, and SQL. Learn why Python can wait while you master quicker-to-learn tools. Explore various analyst roles and how to circumvent the experience barrier through personal projects. Find out where to source data for these projects and tips for showcasing your work effectively. Plus, get insider advice on optimizing resume and LinkedIn profiles for better job applications and interview prep strategies.

Explore why aspiring data professionals might want to skip the lengthy path to data science. The discussion highlights the skills and time required for data science versus the increasing opportunities in data analyst and engineer roles. Learn how starting as an analyst can provide valuable on-the-job experience, quicker entry into the field, and a clearer route to future data scientist positions. Best of all, analysts can make an immediate business impact with a lower barrier to entry!