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

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!

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I built you a free tool that matches you to open data jobs! I built it using a low-code analytics tool called KNIME. Learn how I built it & how you can build your own!👔 Try the Resume to Job Match App: https://apps.hub.knime.com/d/AI_Job_Search~data-app:c0cff571-721d-4cd2-aca7-5f19505d7537/run?authToken=cVZoMmVVZmF3RkM4eG9HdXVDdWltWTlZbFJDdzRCTjc0TXBLaFIzY3JYSTpmT3FYZ3VWZ19OTHgwZExxMGZ1Ty1XMUxySFF0QmdYRXBOWllaSVVQRnZmbnRHdGlnWlJ1cS1lM2hlQk0tM3k0TE0taHk3b0ZyQTh2S0t2YWV4QkREdw==💻 Download KNIME: https://www.knime.com/start?utm_source=youtube&utm_medium=influencer&utm_term=avery_smith&utm_content=video&utm_campaign=kapsquad📈 Download the KNIME Workflow: https://hub.knime.com/knime/spaces/Data%20Apps/AI_Job_Search~IkoQH5UBhidlxnEt/current-state?utm_source=youtube&utm_medium=influencer&utm_term=avery_smith&utm_content=video&utm_campaign=kapsquad💌 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 0:00 - Avery's notes about episode (audio only) 7:33 - Use this free tool to find data jobs09:36 - What is low-code analytics & why is it important?13:20 - How I built this tool (& you can too) 16:47 - The future of low-code data tools 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode:✨ Try Julius!This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCPhttps://landadatajob.com/Julius-DCP

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Data meets music 🎶 — Avery sits down with Chris Reba, a data analyst who’s studied over 1 million songs, to reveal what the numbers say about how hits are made. From uncovering Billboard chart fraud to exploring how TikTok reshaped music, this episode breaks down the art and science behind every beat.💌 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 - Intro: How Chris analyzed 1M+ songs using data01:10 - What data reveals about hit songs and music trends03:30 - Combining qualitative and quantitative analysis07:00 - The 1970s Billboard chart fraud explained10:45 - Why key changes disappeared from modern pop13:30 - How hip-hop changed song structure and sound14:10 - TikTok’s influence on the music industry16:10 - Inside Chris’s open-source music dataset22:10 - Best tools for music data analysis (SQL, Python, Datawrapper)27:45 - Advice for aspiring music data analysts🔗 CONNECT WITH CHRIS📕 Order Chris's Book: https://www.bloomsbury.com/us/uncharted-territory-9798765149911📊 Check out Chris's Music Dataset: https://docs.google.com/spreadsheets/d/1j1AUgtMnjpFTz54UdXgCKZ1i4bNxFjf01ImJ-BqBEt0/edit?gid=1974823090#gid=1974823090💌 Subscribe to Chris's' Newsletter: https://www.cantgetmuchhigher.com📲 Follow Chris on TikTok: https://www.tiktok.com/@cdallarivamusic🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode:✨ Try Julius!This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCPhttps://landadatajob.com/Julius-DCP

Dive into the journey of hiring a data analyst from a pool of 285 applicants! Discover the secrets of a successful hiring funnel and learn why early applications make a difference. Uncover common resume pitfalls that could cost you the chance, and hear why rejections aren't personal. Hear insights on what recruiters look for in interviews, from authenticity to technical skills. Finally, find out how industry knowledge can tip the scales in your favor and encourage your career pivot.

Who truly are the most clutch quarterbacks in NFL history? Using Python and advanced metrics, the discussion dives into what it means to be 'clutch.' With a clever analysis of 1.18 million NFL plays, surprising rankings emerge, leading to riveting insights about Tom Brady and his counterparts. The conversation further explores Win Probability Added (WPA) to gauge true impact in tense moments. Listeners are encouraged to try their own analyses with Sphinx, opening up a world of data exploration.

Organizations face a tough choice in AI: compromise on privacy or performance. Discover a third option that balances both! Listen in as a staged leaked Zoom debate reveals the ethical dilemmas of using patient data. Learn about sensitive data discovery and how data synthesis can replace sensitive information with realistic, artificial data. Explore the power of Tonic Textual to efficiently process and anonymize doctor notes, enabling innovative uses without compromising privacy.

Join Mike Cisneros, a Harvard-trained data storyteller and co-author of 'Storytelling with Data,' as he dives deep into the art of data storytelling. Discover why clear communication can make you more valuable than seasoned analysts. Mike shares practical tips to enhance your data presentations, like removing clutter and using color strategically. He also discusses a fascinating case study on call-center data, illustrating how effective visuals can drive action. Learn how to transform your analyses into impactful narratives!

In this episode, the host builds a Pokémon card analytics tool, guided by audience votes. Discover how she uses Replit to create the app quickly, even without technical skills! Features like price tracking, charts, and a deal finder are integrated using real data sources. Watch as she navigates API integration and backend databases to optimize the app. Finally, she deploys the MVP and unveils the domain, inviting listener feedback for future development. A must-listen for aspiring data analysts!

Discover which data tools are truly essential for analysts working at top companies like Google and Apple. Learn why SQL remains the backbone of data analysis, while Excel and Tableau are daily staples for visualization. Hear how Google Colab outshines Jupyter for collaboration, and why Microsoft Teams and Jira are pivotal in project management. Analysts also share insights on tools like Snowflake and Power BI that are shaping the future of data analytics. Tune in for a wealth of practical advice straight from the pros!