#8 What is Analytics Engineering and Why Should You Care?

📊 What is Analytics Engineering?

Analytics Engineering is a rapidly emerging field in the world of data, bridging the gap between data engineering and data analytics. At its core, analytics engineering involves transforming raw data into a clean, efficient format that is ready for analysis. This process, often facilitated by tools like dbt (data build tool), involves writing code to model data, testing for accuracy and consistency, and creating data pipelines that automate these transformations.

Unlike traditional data engineering which focuses more on the infrastructure and pipelines for data movement, analytics engineering hones in on making data more accessible and usable for analysts and business decision-makers. It's about structuring data in a way that aligns with business logic and analytical needs, ensuring that data is not just available but also meaningful and reliable.

Here’s how Data Engineers differ from Analytics Engineers:

Analytics Engineers earn about $100K on median in the USA and usually $140K on the higher end. This could not include the bonus, compensation and perks that a company offers.

 📰 Data Tools, Articles and Resources 

Featured

DBT: Since this week’s issue talks about Analytics Engineering, we’re covering a tool that is essential to this domain.

Here’s a reddit comment that hits the nail about its role for Analytics

“dbt seems to be synonymous with analytics engineering for two main reasons:
It is a valuable tool for analytics engineers. It helps analytics engineers (among others) write production quality transformations using SQL
dbt as an organization and community has championed the role of the analytics engineer and helped shepherd it from something new to something mainstream”

Resources

1. AOV-Segmentation Connection in E-commerce: [Link] (Analytics Wisdom Premium)

2. A Day in the Life of a Content Analytics Engineer [Link]

3. Anyone went through Netflix Analytics engineer OR DE interview? [Link]

4. Analytics engineering with DBT : the evolution of the modern data pipeline [Link]

Events for Data Science/Data Analytics 2024

✌️ Remote Jobs in Data  

1. Database Developer @Nitka, Worldwide [Link]
   

2. Data Analyst @Interapt, USA [Link]
   

3. Senior Data Scientist @Grow Progress, USA [Link]
   

4. Data Engineering Lead @Nascent, USA [Link]
   

5. Data Analyst @Interapt, USA [Link]