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Analyst Data Analysis Jobs in Oregon (NOW HIRING)

Data Analysis Tutor

Eugene, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

OR · On-site

$51K - $64K/yr

Associate degree in a related field and two years of experience in data analysis, reporting, business intelligence, or a related field. Successful candidates will also demonstrate: * Experience ...

Data Analysis Tutor

OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Portland, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analyst

OR · On-site +1

$70K - $82K/yr

Bachelor's degree, or equivalent experience * 2+ years of experience in data analysis, experience in the healthcare industry a plus * Deep expertise and enthusiasm for Microsoft Excel and for using ...

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

Data Analysis * GIS/Lidar Technology Additional Information Kindly reach me at 734-357-8988 or just Email me @ sathish dot balla at tekwissen dot com

Data Analyst

$52K - $80K/yr

... Analysis. • Statistical Analysis Tools. • Data Trend Analysis & Interpretation. • Business Performance Analysis & Forecasting. • SQL, Python, DatViz Tools are a plus but not required.

New

Associate Data Analyst

OR · On-site +1

$55K - $65K/yr

Bachelor's degree, or equivalent experience * 1+ years of experience in data analysis, experience in the healthcare industry a plus * Experience with AWS services like AWS Glue, Step functions ...

Business Engagement & Analysis: Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate ...

Business Engagement & Analysis: Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate ...

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Analyst Data Analysis information

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.

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.

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.

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.

Can I be a data analyst with no experience?

Entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a solid understanding of data concepts. Gaining certifications or completing relevant coursework can improve chances of securing a role without professional experience.

Is a data analyst a high paying job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, experienced analysts can achieve higher compensation, making it a financially rewarding career for many professionals.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

Data Analyst

Portland, OR • On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Services • 51 - 200 employees

Contractor

Re-posted yesterday


Job description


RESPONSIBILITIES
• Performs data collection and analysis of all software and hardware throughout the enterprise and cloud to identify, analyze and recommend changes to software and hardware purchases, inventories, reporting including decommissioning and asset recovery to mitigated associated risks.
• Assist with conducting licensing audits, identify and resolve potential compliance issues relating to vendor contract requirements and to information technology asset management (ITAM) policies and procedures. Coordinates with other departments to identify and correct assets anomalies and ensure compliance in the various departments.
• Assist with policies and processes throughout the entire lifecycle including requisitions, provisioning, logistics, deploymentreceipt, identification, categorizations, recording, reporting, and documentation of information technology assets to include hardware and software assets.
• Participates in the development for configuring, designing, maintaining and supporting the asset management system for service life-cycle management; ensures appropriate updates are made to the asset management system. Perform other duties and responsibilities as assigned.
REQUIREMENTS
• Knowledge of concepts, practices, and procedures of asset management
• Excellent written and verbal communication skills
• Big data experience
• Experience with Linux, Windows Server OS, Microsoft Azure, and AWS
• Proficiency in advanced SQL and data modeling
Skill Set
data analyst, data, aws, azure, windows, linux, sql, data modeling, Tanium, SCCM, Snow, Casper, SolarWinds, ExtraHop, and CrowdStrike