Business Intelligence Analyst, ML Focus
AWL (All Web Leads, Inc.) is one of the most successful customer acquisition marketing companies in the US. Simply put, we help our customers acquire customers for the US insurance industry. Our amazing team of nearly 1,000 talented and successful professionals use internet marketing strategies to turn consumer interest in insurance products into policy sales for the world's largest insurance carriers and more than 30,000 of their agents. We are Austin-born and our growth from a 2-person startup in 2005 to a highly profitable business has been a remarkable journey. We are a tight-knit team with a fast-paced, energetic, and entrepreneurial company culture that has been ranked a Best Place to Work in Austin for 2012, 2013, 2015, and 2017 - 2023. AWL fosters a vibrant, dynamic work culture built on trust, data, technology, passion, collaboration, and winning, where employees want to engage and be impactful. We provide competitive pay, outstanding benefits, and a fabulous, fun, collaborative environment that allows our people to be their best.
We are seeking a self-driven Business Intelligence Analyst with a strong focus on machine learning to join our small, dynamic team. The ideal candidate will have the desire to build, test, and deploy predictive analytic models that integrate with current business processes to enhance performance across the company. This role requires someone with advanced Excel skills, proficiency in SQL and Python, and the ability to take ownership and improve existing models while identifying opportunities to implement new ones.
General Responsibilities:
Discover, design, develop, and deploy predictive analytic models to integrate with business processes.
Improve and maintain current models, ensuring they meet business needs.
Develop and move BI, Analytics, and ML tools to production.
Gather requirements, design, and deploy reporting solutions.
Innovate and creatively solve analytical problems.
Plan, support, design, modify, and test data warehouse cubes, models, dimensions, measures, views, and reports.
Requirements:
Bachelor's degree in Computer Science, Data Science, Business Analytics Management, Applied Statistical Analytics, or a related technical field.
Minimum of 2 years of relevant experience.
Advanced experience with MS Excel, SQL, and Python.
Experience using python libraries such as pandas, scikit-learn, numpy, etc.
Proven foundation in Data Science and mid-level Machine Learning and ML Ops skills.
Experience with MS Power BI, SQL, and MS Azure tool sets.
Experience with Microsoft SQL, Visual Studio or Visual Studio Code tools, and APIs for analytic tool and visualization creation.
Experience with large dashboards, ETL tools, and methods.
Preferred Skills:
Experience with Visual Studio, MS SQL Server, Qliksense, OLAP, and ETLs.
Excellent written and verbal communication skills.
Strong stakeholder-facing skills and attention to detail.
Effective exploratory analytical thinking.
Ability to innovate and adapt to work demands.
Analytical mindset with a creative problem-solving approach.
Deep curiosity and a proactive approach to novel development.
Why Join Us:
Be part of a small, collaborative team.
Engage in the full process from inception to completion.
Opportunity to work on innovative projects and make a significant impact.
Supportive environment that fosters professional growth and development.
If you are passionate about leveraging machine learning to drive business performance and are excited about joining a small, dedicated team, we would love to hear from you!
Apply Now
We are seeking a self-driven Business Intelligence Analyst with a strong focus on machine learning to join our small, dynamic team. The ideal candidate will have the desire to build, test, and deploy predictive analytic models that integrate with current business processes to enhance performance across the company. This role requires someone with advanced Excel skills, proficiency in SQL and Python, and the ability to take ownership and improve existing models while identifying opportunities to implement new ones.
General Responsibilities:
Discover, design, develop, and deploy predictive analytic models to integrate with business processes.
Improve and maintain current models, ensuring they meet business needs.
Develop and move BI, Analytics, and ML tools to production.
Gather requirements, design, and deploy reporting solutions.
Innovate and creatively solve analytical problems.
Plan, support, design, modify, and test data warehouse cubes, models, dimensions, measures, views, and reports.
Requirements:
Bachelor's degree in Computer Science, Data Science, Business Analytics Management, Applied Statistical Analytics, or a related technical field.
Minimum of 2 years of relevant experience.
Advanced experience with MS Excel, SQL, and Python.
Experience using python libraries such as pandas, scikit-learn, numpy, etc.
Proven foundation in Data Science and mid-level Machine Learning and ML Ops skills.
Experience with MS Power BI, SQL, and MS Azure tool sets.
Experience with Microsoft SQL, Visual Studio or Visual Studio Code tools, and APIs for analytic tool and visualization creation.
Experience with large dashboards, ETL tools, and methods.
Preferred Skills:
Experience with Visual Studio, MS SQL Server, Qliksense, OLAP, and ETLs.
Excellent written and verbal communication skills.
Strong stakeholder-facing skills and attention to detail.
Effective exploratory analytical thinking.
Ability to innovate and adapt to work demands.
Analytical mindset with a creative problem-solving approach.
Deep curiosity and a proactive approach to novel development.
Why Join Us:
Be part of a small, collaborative team.
Engage in the full process from inception to completion.
Opportunity to work on innovative projects and make a significant impact.
Supportive environment that fosters professional growth and development.
If you are passionate about leveraging machine learning to drive business performance and are excited about joining a small, dedicated team, we would love to hear from you!
Apply Now