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Entry Level Business Intelligence Analyst Jobs in Oregon

Prodapt

Business Intelligence Analyst

Portland, OR · On-site

Build and update business intelligence reports, databases, and dashboards to provide users with ... analytics and AI-driven outage intelligence across digital and self-service channels.

Symbotic

Senior Business Intelligence Engineer

OR · Remote

$51 - $66.25/hr

What we do The Business Intelligence & Analytics team is part of the Software Engineering organization, which builds the intelligent software platforms that power Symbotic's advanced automation ...

Ascension

UKG Business Intelligence Manager

Drive large-scale WFM analytics projects, identify efficiency reporting opportunities, and develop real-time solutions for agile operational decision-making. * Partner with ADSI and cross-functional ...

Procom Services

Business Analyst

Hillsboro, OR · On-site

Application Development Project Management Quality Assurance Business/Systems Analysis Datawarehouse & Business Intelligence Infrastructure & Network Services Risk Management & Compliance Business ...

United Soccer League (USL)

$15.75 - $19.75/hr

Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo. * Support ad-hoc requests for data; build reports ...

LP Careers Page

OR

Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. The strongest candidates have owned reporting end-to-end, from pipeline to dashboard ...

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Entry Level Business Intelligence Analyst information

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How much do entry level business intelligence analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for entry level business intelligence analyst in Oregon is $40.84, according to ZipRecruiter salary data. Most workers in this role earn between $27.45 and $51.11 per hour, depending on experience, location, and employer.

What are some typical projects or tasks an entry level business intelligence analyst might work on?

As an Entry Level Business Intelligence Analyst, you can expect to work on tasks such as compiling and cleaning data from various sources, developing basic dashboards or reports, and performing ad-hoc data analysis to support business decisions. You'll typically collaborate closely with more experienced analysts, managers, and other departments to understand project requirements and translate business needs into data solutions. Over time, you'll gain exposure to more complex analyses and have opportunities to lead smaller projects as you develop your skills. This hands-on experience provides a strong foundation for career advancement within business intelligence or data analytics roles.

What are the key skills and qualifications needed to thrive in the entry level business intelligence analyst position, and why are they important?

To thrive as an Entry Level Business Intelligence Analyst, you need strong analytical abilities, proficiency in data interpretation, and a bachelor's degree in business, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Power BI, or Tableau is often required, and certifications in data analytics or BI platforms can be advantageous. Attention to detail, effective communication, and problem-solving skills help you translate complex data into actionable insights and work well within a team. These competencies are crucial for generating valuable business reports, supporting data-driven decisions, and contributing to organizational success.

What is an entry level business intelligence analyst?

An Entry Level Business Intelligence Analyst collects, analyzes, and interprets data to help businesses make informed decisions. They use tools like SQL, Excel, and BI software (e.g., Power BI, Tableau) to create reports and dashboards. Their responsibilities often include data cleaning, identifying trends, and supporting business teams with insights. This role requires strong analytical thinking, problem-solving skills, and attention to detail. It is a great starting point for a career in data analytics or business intelligence.

What are the most commonly searched types of Business Intelligence Analyst jobs in Oregon? The most popular types of Business Intelligence Analyst jobs in Oregon are:
What are popular job titles related to Entry Level Business Intelligence Analyst jobs in Oregon? For Entry Level Business Intelligence Analyst jobs in Oregon, the most frequently searched job titles are:
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What cities in Oregon are hiring for Entry Level Business Intelligence Analyst jobs? Cities in Oregon with the most Entry Level Business Intelligence Analyst job openings:
Entry Level Business Intelligence Analyst jobs near you
Infographic showing various Entry Level Business Intelligence Analyst job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, and 25% Nights. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $84,953 per year, or $40.8 per hour.

Business Intelligence Analyst

Prodapt

Portland, OR • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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 increased productivity.
  • Build and update business intelligence reports, databases, and dashboards to provide users with detailed intelligence.
  • Architect end-to-end Machine Learning Model Deployment and Data Versioning pipeline in a production environment to identify data patterns and trends.
  • Participate in model and algorithm deployment into production, which needs a separate pipeline built with support for monitoring and alerting.
  • Align code branches to be managed with the latest algorithms to be used for customer churn predictability.
  • Assure adherence to business intelligence standards, methodologies, and practice.
  • Maintain the project codes/ model versions using GIT/SVN version controlling tools.
  • Document all the project details and activities in the organization's Confluence pages.
  • Develop technical design documentation to ensure the accurate development of reporting solutions.
  • Create status reports on a weekly and monthly basis with an accurate assessment of the deliverables.
  • Work with the team on the various AI/ML technologies, and business intelligence systems and tools, perform tests, and work with project managers and team on project deliverables.
  • Attend project meetings and work on ad hoc project report requests.
  • Triage requirement gathering, identify business value for scenarios by working with product owners, and optimize data-driven decision making.
  • Utilize statistical concepts/methodologies to correlate inventory, network statistics, and trouble management systems.
  • Explore and integrate AI/ML and GenAI frameworks to enhance customer communications and operational insights, including IVR call analytics and AI-driven outage intelligence across digital and self-service channels.
  • Telecommuting and working from home permitted from anywhere in the U.S.
  • Travel and relocation possible to unanticipated client locations throughout the U.S.
  • Domestic travel required approximately 10% of the time to various client sites.

Requirements
  • Bachelor's degree or foreign equivalent in Computer Science, Data Sciences, or Information Systems and 3 years of experience in the job offered or 3 years of experience in the related occupations of Lead Engineer, Software Engineer, Application Developer, or equivalent.
  • Prior experience must include 3 years of experience with GenAI Technologies such as LLMs, Prompt Design, Prompt Engineering, LangChain, Hugging Face;
  • 3 years with AI/ML Technologies such as Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN;
  • 3 years of experience with Statistical Modelling & ML Algorithms such as Regression, Time Series Analysis, Random Forests, Gradient Boosting, K-Means, KNN, Neural Networks;
  • 3 years of experience with Model Evaluation & Testing such as Accuracy, Precision, Recall, Cross-Validation, A/B Testing, Hypothesis Testing;
  • 3 years of experience with MLOps & Deployment such as Docker, Kubernetes (AKS), CI/CD, Model Monitoring, Data Versioning;
  • 3 years of experience with API & Backend Development such as REST APIs, FastAPI, Uvicorn;
  • 3 years of experience with Data Engineering & Orchestration such as Apache Airflow, Kafka, Flume, Hadoop, Drill;
  • 3 years with Data Visualization & BI Tools such as Matplotlib, Seaborn, Grafana, Power BI, Tableau, Superset;
  • 3 years with Databases & Data Warehouses such as Snowflake, PostgreSQL, Oracle, MySQL, HBase, Hive, SQL;
  • 3 years with Cloud Technologies such as Azure (OpenAI, AI Search, ML), AWS (S3, Athena), GCP (Dialog flow, Data Studio);
  • 3 years with DevOps & Collaboration Tools such as Git, Jira, Confluence, Azure DevOps;
  • 3 years with Operating Systems such as Windows, Linux.
  • Travel and relocation possible to unanticipated client locations throughout the U.S.
  • Domestic travel required approximately 10% of the time to various client sites.

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