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Hourly Data Analysis Intern Jobs in Oregon (NOW HIRING)

We welcome interns with an interest or focus in any one or more areas; business and data ... Strong troubleshooting, analytical, and problem-solving skills, with curiosity and a willingness to ...

Strong data-analysis capabilities, including working across multiple data sources, reconciling ... The following are our hourly salary ranges for this role: $60-$70 an hour #LI-NM1 #LI-REMOTE

Proficiency in Python or R for statistical analysis, data modeling, and exploratory analysis ... Strong analytical skills: ability to define metrics, diagnose root causes, and translate data ...

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured lending data, reporting, and risk oversight capabilities. The ideal candidate will own and support ...

Intelligence Solutions Intern

OR · On-site +1

$15 - $20/hr

Position Overview As an Intern on the Intelligence Solutions team at Everstream Analytics, you ... Analyze incoming data streams for relevancy and impact, and report time-sensitive risk alerts for ...

Overview The Epic Data Acquisition Analyst works with client health systems to extract clinical, pharmacy, scheduling, referral, and provider data from Epic into VytlOne's VytlAIQ 340B optimization ...

$18 - $22/hr

Utilize Microsoft excel to assist with data cleaning, data tracking, and data input as part of ... Hourly Rate: $18-22per hour, depending on experience Schedule: Aug 10-Sept 4 or 14 (4-6 weeks ...

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Hourly Data Analysis Intern information

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Infographic showing various Hourly Data Analysis Intern job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Contractor

Re-posted 13 days ago


Job description


Responsibilities include:
1. Interpreting data, analyzing results using SQL, Excel, and basic statistical techniques
2. Performing data analyses, analyzing data collection systems and other methods that optimize efficiency and data quality
3. Acquiring data from primary or secondary data sources and maintaining databases
4. Collecting, organizing, and interpreting database metadata (i.e., data structures, data relationships, data element descriptions), and capturing this in our Enterprise Data Catalog.
5. Modelling data, including master data, reference data, and transactional data objects, attributes, and relationships
6. Assessing gaps and conflicts between data definitions across multiple software assets.
7. Creating database schemas from data models.
8. Writing SQL to analyze data and data structures in databases
9. Assessing data quality in assigned data domains.
10. Providing guidance on master data and reference data governance.
11. Assisting with curating the Enterprise Data Catalog to scan new databases, data pipelines, data object definitions, PowerBI reports, and related metadata.
Required Experience & Skills:
1. Strong communication skills including interviewing subject matter experts (business and technical) to capture requirements, and effective writing skills to convey technical options and recommendations, and to produce required documentation such as functional design specifications.
2. At least 5 years of experience working with data modeling tools such as Visio, ERWin, or equivalent.
3. SQL Server Management Studio (SSMS) to analyze data content, data structures, and stored procedures.
4. Data warehouse design including normalized structures for Operational Data Stores, and star schema structures for data marts.
5. On premise and Azure cloud databases including SQL Server and Synapse
Preferred Experience
1. Utility industry knowledge, especially gas utilities
2. Knowledge of typical data patterns for shared services domains such as Finance, Human Resources, and IT
3. Informatica data management tools (eg, Enterprise Data Catalog) including data profiling and data lineage analysis
4. Knowledge of CMDB data models
5. Data Governance principles and methods
6. Reference data management, especially using Informatica Reference360