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Analyst Data Analysis Jobs in Oregon (NOW HIRING)

Analysis of data to find patterns * Development of applications for data gathering and analysis * Developing related business processes * Establishing performance indicators * Writing procedures and ...

Senior Data Analyst

$82K - $153K/yr

Data Analysis and Reporting * Lead the development and ownership of Power BI dashboards and reports to provide insights into business operations, project performance and decision making, and ...

New

... analysis workflows or automations * You have a track record of quickly learning new concepts ... why data works * You have tackled complex analytical problems and taken ownership beyond your ...

... analysis workflows or automations * You have a track record of quickly learning new concepts ... why data works * You have tackled complex analytical problems and taken ownership beyond your ...

From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices ...

From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices ...

... in data analysis, preferably in logistics, fleet, or industrial operations - Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau ...

... in data analysis, preferably in logistics, fleet, or industrial operations - Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau ...

Uses data analysis techniques to extract information and identify patterns or trends. * Builds reports and reconcile to system data, on both a regular cadence and ad-hoc requests. * Develops and ...

Conduct research and analysis to evaluate enterprise data, business processes, system performance, and operational trends. * Collect, consolidate, validate, and analyze information from multiple ...

Showing results 21-40

Analyst Data Analysis information

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.

Technical Data Analyst/Architect

Ruri Software Technologies LLC

Milwaukie, OR โ€ข On-site

Full-time

Re-posted 18 days ago


Job description

Role :Technical Data Analyst/Architect
Location : Milwaukie, Oregon - Hybrid - Only Locals required
Candidate must be within 100 miles
Only W2 no C2C
Only USC/GC
Job description:
Research and properly evaluate sources of information to determine possible limitations in reliability or usability, Apply sampling techniques to effectively determine and define ideal categories to be questioned, Compare and analyze provided statistical information to identify patterns, relationships and problems. Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering. Prepare detailed reports for management and other departments by analyzing and interpreting data. Train assistants and other members of the team how to properly organize findings and read data collected, Design computer code using various languages to improve and update software and applications Bachelor's degree in mathematics, statistics, computer science or related field, Strong math and analytical skills are essential to complete job requirements successfully, Able to compile and organize statistical information retrieved and present findings to management, Strong computer skills and ability to use necessary databases and software
Skills:
ADO.NET
Data Analysis
Data Modeling
Data Warehousing
DBA
Microsoft SQL Server
MySQL
PostgreSQL
JSON
SQL
Linux
Integration planning and strategy
Crystal Reports
MicrosoftOffice
Sybase PowerBuilder