From Non-Traditional Background to Analytics Engineering: My Journey in Data

I had the opportunity to join Lee Haynes on the Builders Podcast to discuss my path to data analytics, from a non-traditional background to leading data initiatives. We explored how I transitioned into data, the importance of transferable skills, and the key challenges I’ve faced.

Starting a Career in Data Analytics

During the episode, I shared my personal journey into data analytics, highlighting how transferable skills played a pivotal role in making the switch. From leveraging past experiences to developing technical expertise, the conversation touched on how unconventional paths can lead to impactful roles in data.

The Role of an Analytics Engineer

We also discussed what it means to be an Analytics Engineer today.

It's not solely a technical role that bridges data engineering and analytics, but an impactful one that connects data insights to business strategy. It’s about translating complex datasets into actionable insights that drive decision-making and shape business outcomes.

I shared my approach to defining KPIs, balancing speed and quality in data delivery, and implementing data governance frameworks to ensure data quality.

Data Complexity in Logistics

A part of the conversation focused on the complexities of data in logistics, particularly in last-mile delivery. We explored how data can be both a challenge and a game-changer in optimizing delivery processes, tracking KPIs, and making data-driven decisions.

Key Takeaways

• Transferable skills can be as valuable as technical expertise in data roles.

• Analytics Engineers need to balance technical execution with business impact.

• Data governance frameworks are essential for maintaining data quality and consistency.

Listen to the Full Episode

Curious to learn more? You can listen to the full episode here:

• Spotify: https://shorturl.at/cBDNh

• Apple Podcasts: https://shorturl.at/d8P3y

• YouTube: https://shorturl.at/qd4wV