Here’s Why Companies Should Hire Analytics Engineers

Why Companies Should Hire Analytics Engineers (and How I Can Help)

Welcome to the final article in my Analytics Engineering series! So far, we’ve covered the role of analytics engineers, the rise of this position, and the tools and skills that make these people so valuable. In this last article, I’ll be shifting focus to why hiring analytics engineers is critical for your business’s success, and how I can help you build a team that transforms your data.

Hiring analytics engineers is essential for turning data into business value, scaling your operations, and enabling smarter decision-making. With six years of experience specializing in this space—and the backing of ADLIB’s industry-leading, B Corp-certified recruitment team, I can help you find the perfect candidates to transform your data strategy. Let’s connect!

Why Your Business Needs Analytics Engineers

The demand for analytics engineers is soaring, and for good reason. Here’s what they bring to the table:

• Turn Data into Business Value

Analytics engineers ensure your business isn’t just collecting data, it’s making sense of it. They create scalable pipelines and clean, reliable datasets that empower decision-makers to act confidently and swiftly.

• Build a Future-Proof Data Ecosystem

The modern data stack evolves rapidly, and analytics engineers stay at the forefront of these changes. By building robust, scalable systems using tools like DBT, Looker, and Snowflake, they ensure your data infrastructure can grow with your business.

• Bridge the Gap Between Tech and Business

Analytics engineers are the ultimate hybrid professionals: technically skilled in data transformation and modelling yet focused on business needs.

Save Time, Reduce Costs, and Improve Accuracy

With automation, efficient data pipelines, and testing, analytics engineers minimize manual work, reduce errors, and deliver faster insights. This efficiency translates directly into cost savings and better decision-making for your business.

Why Partner with ADLIB to Find the Right Talent?

Hiring the right analytics engineer can feel daunting – they’re in demand, harder to find and looking for the right project. That’s where we come in!

• Expertise in Analytics Engineering

I’m Tegan, and I’ve been specializing in analytics engineering and the wider data industry for six years. During this time, I’ve helped countless companies build high-performing data teams, from startups to global enterprises. I understand the nuances of this industry, from emerging tools like DBT to what makes analytics engineers thrive in different company cultures.

• Proven Track Record

ADLIB has been for some of the biggest names across the Southwest and beyond. Our track record speaks for itself, with glowing testimonials from clients who’ve seen their data operations transformed by the talent we’ve placed.

• Committed to Quality, Ethics & a Tailored, Consultative Approach

ADLIB isn’t just a recruitment agency, we’re a certified B Corp and the highest-scoring B Corp recruitment company globally. This means we’re committed to ethical business practices, sustainability, and delivering real value to our clients and candidates.

We don’t just match resumes to job descriptions. We take the time to understand your business, your goals, and your culture, ensuring every candidate we present is the perfect fit—not just for the role, but for your team.

• Access to Top Talent

Thanks to our extensive network and industry connections, we know where to find the best analytics engineers, even in a competitive talent market. We’re here to help you hire with confidence, no matter how niche the role.

Ready to Build Your Dream Data Team?

If you’re looking to hire analytics engineers or build out your entire data team, I’d love to help. With my expertise, the support of ADLIB’s incredible team, and our commitment to quality and ethics, we’ll ensure your business has the talent it needs to thrive in the modern data landscape.

Let’s start a conversation today and take your data operations to the next level.

View the previous article in this series:

Part one: Analytics Engineering: Modern Data Teams
Part two: The Rise of Analytics Engineers: The Modern Data Stack
Part three: Key Skills and Tools for Analytics Engineers: Building the Future of Data
Part four: The Power Trio: DBT, Looker, and Snowflake in Analytics Engineering