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Data Analyst Jobs in Sandy, OR (NOW HIRING)

Data Governance- Manager

Portland, OR ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Senior Business Analyst - Catalog

Vancouver, WA ยท On-site

$96K - $125K/yr

Recent experience in a Business or Data Analyst role is required. * Ability to collaborate with management, product strategy and product development teams on vision, strategy and program design.

General Information

Portland, OR ยท On-site

$91K - $115K/yr

Ability to analyze usage, cost, and performance data to identify trends, risks, and opportunities. * Knowledge of cloud billing, cost allocation, and usage data structures, including an understanding ...

Showing results 21-34

Data Analyst information

See Sandy, OR salary details

$35.7K

$86.8K

$142.9K

How much do data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst in Sandy, OR is $86,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $101,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

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.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
What cities near Sandy, OR are hiring for Data Analyst jobs? Cities near Sandy, OR with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Sandy, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $86,847 per year, or $41.8 per hour.

SAP Business Analyst with Data Analytics strength

Avani Technology Solutions, Inc.

Portland, OR โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

Job Title: SAP Business Analyst with Data Analytics strength
Duration: 12 Months
Location: Portland, OR
Requried Skills
FICO, SAP BW skills with strong ability to trace data through multiple systems.
Job Decsription
  • Document and undertand financial datat data flowing thorugh SAP from OD meets finance needs.
  • Design OD to SAP reconciliation processes and reports to reconcile data with financial impact between OD and SAP (specifically sales, inventory reconciliation from a financial perspective).
  • Provide requirements and specifications to the BW and Azure Data Lake teams to ensure reporting needs are met.

Thanks
Arjun
arjun.d@avanitechsolutions.com
585-532-7200 Ext 9052