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Senior Data Analyst Developer Jobs in Portland, OR

You'll apply your skills to deliver results that matter whether that's through engineering ... Strong business-facing skills with confidence to engage senior stakeholders and translate business ...

You'll apply your skills to deliver results that matter whether that's through engineering ... Strong business-facing skills with confidence to engage senior stakeholders and translate business ...

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

Analyze existing data stores and interfaces to support current state and future data models * Work ... Work with report developers to align dataset design with report design * Partner with information ...

... programmer Quantitative research Unstructured data analysis Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and ...

Data Analyst Mandatory Skills - BS degree with a technical discipline such as Mathematics, Computer Science, Information Systems, Engineering - Experience extracting and manipulating data from ...

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Experience with cloud data warehouse and analytics technologies, specifically Azure Databricks ... Knowledge of DevOps in application development such as GitHub Actions, or Powershell * Experience ...

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Showing results 1-20

Senior Data Analyst Developer information

See Portland, OR salary details

$58.3K

$105.2K

$143.7K

How much do senior data analyst developer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for senior data analyst developer in Portland, OR is $105,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $115,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

How does a Senior Data Analyst Developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What does a Senior Data Analyst Developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst Developer, and why are they important?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.
What are popular job titles related to Senior Data Analyst Developer jobs in Portland, OR? For Senior Data Analyst Developer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst Developer jobs in Portland, OR look for? The top searched job categories for Senior Data Analyst Developer jobs in Portland, OR are:

$90K - $114K/yr

Contractor

Re-posted 28 days ago


Job description


Job Duties:
• Develop and support data solutions in support of Supply Chain Planning reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Experience developing with scripting languages such as Shell and Python
• Strong experience developing with PySpark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions
Additional preferences are:
• Experience developing solutions in Snowflake
• Experience with workload automation tools such as Airflow, Autosys.
• Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos)
• Knowledge of Supply Chain Operations / Manufacturing business processes and objectives
Skill Set
Python, SQL, Data