New York has always set the stage for what’s next. When it comes to the latest in the tech stack, it’s modern Analytics Engineering is the latest addition to the Data and Analytics industry. The role of Analytics Engineer is one of the newer positions in the world of Data, and in NYC, a hub of media, advertising, and e-commerce – it’s emerging as one of the most in-demand markets in New York and beyond.
Why You Might Need an Analytics Engineer
Data-driven businesses interested in building value for their customers often turn to a mix of Analytics and Data Modelling Engineer. The Data Engineer creates the infrastructure, platform development, and Data movement for the purpose of Machine Learning and Analytics downstream. Ultimately, the Analytics Engineer role is quite similar to the typical Data Engineer but differs in that it doesn’t involve platform development or infrastructure the same way.
Analytics Engineering is a relatively new term within the last five years and are coming into this field from a variety of backgrounds. But the most in-demand background moving into this role is Data Engineering. Why? For the most part, it’s those individuals who can not only script in Python but also do Python programming on the backend.
Key Aspects of this Role:
- Warehouse architecture (e.g., Snowflake, Redshift, BigQuery), and Data Modeling with a popular and relatively new tool dbt (originally Fishtown Analytics), for use by Analysts.
- ETL Development
- Data visualization
- Other tech such as Fivetran, Stitch, and Python
With SQL and Data modelling being the real meat and potatoes of the position, people often move into an Analytics Engineering position that requires little Python experience – however, the salary you can expect if Engineering or Data Science experience and proficiency in Python is substantially higher. It poses an interesting opportunity for Analysts, Data modellers, and Data visualization folks interested in learning a modern engineering stack to make a transition into a more technical, and higher-paying role.
Why You May Want to Consider an Analytics Engineering Role
People move into this role from careers as Analysts, Data Scientists, Data Engineers, and even Software Engineers, a unique career progression in this industry. For the already heavily technical professionals – this is a role that provides both engineering challenges and the chance to work close to the business. Wherever you are on your career journey, Analytics Engineer is a great opportunity from a career growth perspective and can help get you where you want to go. You’re no cog in the wheel here. As an Analytics Engineer, you can help drive decisions that make an impact for your company.
Analytics Engineers on Your Team Can Drive Value for Your Business
Though this position is relatively new in the grand scheme of technological advances to help drive business, it is in demand and growing exponentially. So, it’s important to know if you’re business needs someone to fill this role, you need to know what you’re looking for. For companies, whose main objective is making Data-driven decisions regarding customer retention, marketing campaign conversion, supply chain analytics, etc.
The role of the Analytics Engineer can be a perfect addition to both managing large amounts of Data coming into the businesses and helping drive value.
Take a look at our latest Analytics Engineer jobs here or get in touch with one of our expert consultants to find out more:
For our West Coast Team, contact us at (415) 614 – 4999 or send an email to firstname.lastname@example.org.
For our Arizona Team, contact us at (602) 562 7011 or send an email to email@example.com.
For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to firstname.lastname@example.org.