『Data Career Transformations』のカバーアート

Data Career Transformations

Data Career Transformations

著者： dbt Labs
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 Data Career Transformations is the show where we watch Analytics Engineers. Data Engineers, Data Analysts & Data scientists TRANSFORM their careers. Hosted by Bolaji Oyejide, dbt Community Manager. About the dbt Community: We’ve always believed the best way to get better at data is by sharing what you’re learning. 

 That’s why we built the dbt Community—a place where data pros at every level can ask questions, debate ideas, and push each other forward. 

It’s not just about solving today’s problems—it’s about building what’s next, together. 
dbt Community - for and by data pros. * Build reliable transformation pipelines. * Test & deploy models. * Optimize queries. * Structure data for self-serve analysis. Come hang out and transform with 70,000 of the brightest Analytics Engineers, Data Engineers, Data Analysts, and Data Scientists in the world. Join the dbt Community getdbt.com/community The podcast is sponsored by dbt Labs, makers of the data transformation framework dbt. To reach our team, drop a note to podcast@dbtlabs.com© 2025 出世 就職活動 経済学
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  • 12: From Customer Support to RevOps Analytics @ 1Password: Nate Sooter

    12: From Customer Support to RevOps Analytics @ 1Password: Nate Sooter
    2025/05/22
    In this episode of the Data Career Transformations Show, Bolaji interviews Nate Sooter, a data professional who shares his unique journey from customer support to becoming a manager of Revenue Operations and Analytics at 1Password. Nate discusses the diverse paths into analytics careers, the importance of domain knowledge, and the challenges of navigating the 'great filter' in data jobs. He emphasizes the significance of networking, building relationships, and understanding the business context to succeed in data roles. Nate also reflects on his experiences at Smartsheet, the evolution of the tech stack, and the lessons learned from data disasters. He concludes with advice for aspiring data professionals and shares his future aspirations in leadership. Chapters: 00:00: Introduction to Data Career Transformation02:32: The Wandering Path to Analytics06:32: The Great Filter in Data Careers12:39: Non-Traditional Steps to Break Through18:58: Taking a Chance on Analytics20:56: Preparation Meets Opportunity23:16: Navigating Career Paths in Data27:57: The Evolution of Data Teams30:41: Tech Stack Transformation at Smartsheet32:58: Community and Networking in Data36:48: Learning from Data Disasters38:56: Building Trust Through Accountability41:42: Lessons in Data Integrity44:58: Proud Moments in Data Solutions47:09: Measuring Impact in Data Teams54:53: Advice for Aspiring Data Professionals Takeaways: There's no single clear path into an analytics career.Networking is crucial for career growth in data.Understanding the business context is key for data professionals.Building domain knowledge can differentiate you in analytics roles.Entry-level professionals should seek to be strategic partners, not just ticket takers.Data teams must focus on providing value to stakeholders.Trust is the currency of a successful data team.Mistakes in data can lead to loss of trust; it's important to have checks in place.Creating solutions that are used by many is a significant achievement.Continuous learning and adaptation are essential in the data field. Speakers: Guest: Add LinkedIn links for the guestHost: Bolaji Oyejide is the community manager at dbt Labs, and host of Data Career Transformations. — About the dbt Community: We’ve always believed the best way to get better at data is by sharing what you’re learning. That’s why we built the dbt Community—a place where data pros at every level can ask questions, debate ideas, and push each other forward. It’s not just about solving today’s problems—it’s about building what’s next, together. dbt Community - for and by data pros. Build reliable transformation pipelines.Test & deploy models.Optimize queries.Structure data for self-serve analysis. Come hang out and transform with 70,000 of the brightest Analytics Engineers, Data Engineers, Data Analysts, and Data Scientists in the world Join the dbt Community
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    41 分
  • 11: From Soul-Sucking Telecom Presales, to Data Engineering Mgr: Jessica Franks

    11: From Soul-Sucking Telecom Presales, to Data Engineering Mgr: Jessica Franks
    2025/05/14
    In this episode, Bolaji interviews Jessica Franks, a data engineering manager at Not On The High Street, who shares her unique journey from telecom engineering to data leadership. Jessica discusses her transition to the UK, the challenges of managing a data team, and the importance of communication and mentorship in the data field. Jessica also explains the significance of data strategy, the use of Wardley mapping, and how she measures the impact of her work. Jessica emphasizes the need for continuous learning and adapting in the evolving data landscape, and her aspirations for the future in data leadership. Speakers: Guest: Jessica Franks is the Data Engineering Manager at Not On the High Street, an eCommerce company based in the United KingdomHost: Bolaji Oyejide is the community manager at dbt Labs, and host of Data Career Transformations. Takeaways: Jessica's journey from telecom to data leadership is unique and inspiring.Taking time off to study data science can lead to career transformation.Communication skills are crucial for data professionals.Wardley mapping is a valuable tool for visualizing data strategy.The modern data stack includes tools like Snowflake and dbt.Measuring impact in data work can be challenging but rewarding.Mentorship and community support are vital in the data field.Learning to say no is important for managing workload.Data maturity assessments can guide strategic decisions.Continuous learning is essential in the evolving data landscape. Chapters: 00:00: Introduction to Jessica's Journey02:33: From Telecom to Data Leadership05:11: The Transition to Data Science08:02: Navigating Career Changes10:41: First Day at Not On The High Street13:20: Building a Data Team16:04: Creating a Data Strategy18:40: The Importance of Communication in Data21:20: Implementing Wardley Mapping24:01: Modern Data Stack at Not On The High Street25:49: The Value of dbt in Data Engineering28:42: Change Management in Data Teams32:00: Understanding Data Maturity34:37: The Importance of Community and Mentorship36:32: Asking Questions and Overcoming Hesitation38:19: Handling Stress and Conflicting Priorities40:58: Learning to Say No42:51: Balancing Maintenance and Innovation45:24: Measuring Impact in Data Roles47:54: Future Aspirations in Data Leadership — About the dbt Community: We’ve always believed the best way to get better at data is by sharing what you’re learning. That’s why we built the dbt Community—a place where data pros at every level can ask questions, debate ideas, and push each other forward. It’s not just about solving today’s problems—it’s about building what’s next, together. dbt Community - for and by data pros. Build reliable transformation pipelines.Test & deploy models.Optimize queries.Structure data for self-serve analysis. Come hang out and transform with 70,000 of the brightest Analytics Engineers, Data Engineers, Data Analysts, and Data Scientists in the world Join the dbt Community
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    50 分
  • 10: From Sys Admin Skateboards to Effective Data Products, with Ash Smith

    10: From Sys Admin Skateboards to Effective Data Products, with Ash Smith
    2025/05/14
    In this episode of Data Career Transformations, Bolaji interviews Ash Smith, a seasoned data professional with a diverse background in various industries including education, health, online gaming, and mining. Ash shares his journey into the data field, the evolution of data roles, and the importance of data products. He discusses the challenges faced by data teams, the significance of networking, and how to measure the impact of data work. Ash emphasizes the need for curiosity, collaboration, and effective data storytelling in the data profession, while also providing valuable advice for aspiring data professionals. Speakers: Guest: Ash Smith is the Manager of Data Platform at South32, a Mining company in Perth, AustraliaHost: Bolaji Oyejide is the community manager at dbt Labs, and host of Data Career Transformations. --- Takeaways: Ash Smith has a diverse background in data across multiple industries.Data products are essential for delivering value to businesses.Networking is crucial for career growth in the data field.Curiosity and asking questions are key traits for data professionals.Data storytelling is a vital skill for communicating insights.The data industry needs a consistent framework for success.Building effective data teams requires collaboration and governance.Measuring the impact of data work can be complex and subjective.Data professionals should focus on foundational skills and continuous learning.Engaging with the community through meetups and conferences is beneficial. Sound Bites: "Data products can change the way we work.""Always be curious and ask questions.""Data storytelling is a crucial skill." Chapters: 00:00: Introduction to Ash Smith and His Journey04:01: Ash's Current Role in Mining Data07:27: Career Path and Transition to Data10:29: Breaking into Online Gaming and Data Roles12:33: Early Interests in Data and Patterns16:08: Understanding Data Products17:45: Evolving Data Practices and Challenges19:30: Day-to-Day in Data Management22:03: Navigating Data Disasters23:45: Handling Stress and Burnout26:58: The Challenge of Ad Hoc Requests30:02: Celebrating Project Successes33:30: Influences and Mentorship in Career36:52: Building Relationships for Career Growth39:41: Measuring Impact in Data Work42:35: Technology's Role in Data Management44:21: Advice for Aspiring Data Professionals — About the dbt Community: We’ve always believed the best way to get better at data is by sharing what you’re learning. That’s why we built the dbt Community—a place where data pros at every level can ask questions, debate ideas, and push each other forward. It’s not just about solving today’s problems—it’s about building what’s next, together. dbt Community - for and by data pros. Build reliable transformation pipelines.Test & deploy models.Optimize queries.Structure data for self-serve analysis. Come hang out and transform with 70,000 of the brightest Analytics Engineers, Data Engineers, Data Analysts, and Data Scientists in the world Join the dbt Community
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    47 分

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