Burtch Works Industry Insights

Have you ever wondered how companies enhance their products with data-driven decisions? That's a key responsibility of a product analyst. They analyze data, track product performance, and collect customer feedback to inform impactful decisions. If you're curious about this role or considering a career as one, you're in the right place. This article will introduce you to the responsibilities of a product analyst and guide you on the path to becoming one.

In today’s competitive job market, data analysts must develop a portfolio showcasing their skills to be selected for interviews and eventually land their dream role.A data analyst portfolio is a website that gives potential employers an overview of your professional self and the projects you’ve worked on.Building a robust portfolio is crucial if you want to stand out from other applicants. And you're in the right place for tips on how to do just that!In this article, we’ll walk you through the steps to building a strong portfolio and offer ideas on what to include.

In a groundbreaking partnership, Burtch Works, a leading talent solutions company specializing in Data Science, AI, and Engineering, has joined forces with Women in Data Science (WIDS), a global network committed to empowering women to reach their full potential in the field of data science.

The Department of Labor's recent unveiling of the Independent Contractor Final Rule, effective from March 11th, 2024, marks a significant shift in the labor landscape. This change isn't just a regulatory update; it's a pivotal moment that presents unique opportunities, especially for industries heavily reliant on independent contractors such as transportation, hospitality, manufacturing, and potentially healthcare.

Recent developments in AI and data science include Understanding AI's clarification on OpenAI's AI alignment work, PyMC Labs' seminar on causal graphical modeling and probabilistic programming, SeattleDataGuy's insights from the DEML Summit on data normalization and MLOps, and EcZachly Data Engineer's strategies for managing over 100TB data sets using Apache Spark and cost-effective methods.

Data & Analytics teams need to adapt and even pivot to remain strategically valuable to companies and organizations.

In the dynamic realm of business and technology, companies encounter numerous challenges. From ever-changing customer expectations to disruptive innovations, the ability to adapt and thrive in the current market is crucial. Now, more than ever, organizations are seeking the expertise of consultants to successfully navigate these complex waters.