Business Intelligence Analyst
Prodapt Solutions
Portland, OR, US
Onsite
2026-06-16
Estimated salary · Portland
~ $66,010 - $91,637
Low
$88K
Median
$116K
High
$153K
Market in Portland · BLS OEWS 2025
Estimated net pay
$4,231 - $5,572
/month · 23% withheld
after tax & contributions · on the estimated salary · Single, no dependents
Job description
Overview:
Prodapt is the largest specialized player in the Connectedness industry. As an AI\-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow\-invested company, Prodapt has been recognized by Gartner as a Large, Telecom\-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, \& Japan. Prodapt is part of the 130\-year\-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80\+ locations globally.
Responsibilities:
* Perform exploratory data analysis and provide various insights into customer data using domain knowledge that would bring more value to the business.
* Leverage predictive analytics and AI/ML techniques to generate actionable insights for customer behavior, operational trends, and churn management.
* Study key data from the customer, inventory, network and trouble management systems and provide recommendations on the solutions that can be built out of the provided dataset.
* Build data ingesting pipelines and maintain them in big data ecosystems.
* Correlate analysis with real\-time data from the customer database using churn data.
* Design, build, test, and tune machine learning models using Python and other tools, focusing on accuracy and ensuring that intelligence is consistent with defined needs.
* Create solutions by comparing various Machine Learning algorithms that would best fit for the customer churn and use cases.
* Build the Machine Learning models in tools such as RapidMiner application to predict customer churn using Python scripts.
* Use algorithmic and logical approach to determine initial set of potential ML models based on the data and results generated.
* Maintain and suggest tools and technologies for incre