Business Intelligence Analyst, ML Focus at AWL

A
AWL

Business Intelligence Analyst, ML Focus

us flag
United States

On-site

Full Time

#Technology

#Excel

#SQL

#Python

#Pandas

#scikit learn

#NumPy

#Power BI

#Azure

#Visual Studio

#APIs

AWL is looking for a Business Intelligence Analyst, ML Focus

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At All Web Leads, we take pride in being a leader in customer acquisition marketing within the United States. Since our start in 2005, we have grown from a small startup into a highly profitable company that connects insurance shoppers with top carriers and thousands of agents. Our success is built on a culture of collaboration, data, and innovation. We have been recognized multiple times as a Best Place to Work in Austin, and we are looking for talented individuals who are eager to make an impact in a fast-paced environment.

About the Role

We are looking for a Business Intelligence Analyst with a specialization in machine learning to join our team on a full-time basis. This is a mid-level position where you will play a key role in building, testing, and deploying predictive models that drive our business processes forward. You will have the chance to take ownership of existing models while identifying new opportunities to implement advanced analytical solutions.

Key Responsibilities

  • Design and deploy predictive analytic models that integrate directly into our core business operations.
  • Maintain and enhance our existing models to ensure they continue to meet evolving business needs.
  • Manage the end-to-end production process for our business intelligence, analytics, and machine learning tools.

Requirements

To be successful in this role, you should possess the following qualifications and skills:

  • A Bachelor’s degree in Computer Science, Data Science, Business Analytics, Applied Statistics, or a related technical field.
  • At least 2 years of relevant professional experience.
  • Strong technical proficiency in SQL, Python, and advanced MS Excel.
  • Hands-on experience with Python libraries including pandas, scikit-learn, and numpy.
  • Experience working with MS Power BI, MS Azure, and Visual Studio.
  • A solid foundation in data science, machine learning, and ML Ops, along with experience managing large dashboards and ETL processes.

Location

This position is based in the United States and requires an on-site presence.

Compensation and Benefits

We believe in fostering a supportive environment that encourages professional growth. By joining our team, you will have the opportunity to work on innovative projects from inception to completion while collaborating closely with a dedicated group of professionals.

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