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Data Analyst Project Manager Jobs in Portland, OR

Typically has 7-10 years of work experience, preferably in data analytics, database management ... project teams and may participate in cross-functional initiatives. Complexity Works on complex ...

Project Manager (Data Centers)

Portland, OR · On-site +1

$55 - $74.25/hr

This Opportunity WSP is currently initiating a search for a Project Manager (Data Centers) to join ... Perform margin analysis, risk assessments, and contingency planning for power delivery projects.

Project Manager (Data Centers)

Portland, OR · On-site

$55 - $74.25/hr

This Opportunity WSP is currently initiating a search for a Project Manager (Data Centers) to join ... Perform margin analysis, risk assessments, and contingency planning for power delivery projects.

Big Data Laser Analyst Description - Job Summary We are seeking a highly analytical, business ... managing projects independently. Lead moderate to high complexity projects, delivering ...

Data Management & Quality * Query, clean, transform, and validate data from multiple systems and ... Support cross-functional projects by establishing measurement frameworks and analyzing results.

New

Data Scientist/Analyst

Vancouver, WA · On-site

$90K - $120K/yr

Knowledge Management: Meticulously document metric definitions, schema changes, and repeatable ... Analytical Partnering: Translate high-level leadership objectives into structured technical data ...

The Project Manager will be interacting and directing resources on projects involving the ... Solid understanding of complicated data analysis theory, project cost estimation, and profitability ...

Project Manager

Portland, OR · On-site

$74K - $100K/yr

The Project Manager will be interacting and directing resources on projects involving the ... Solid understanding of complicated data analysis theory, project cost estimation, and profitability ...

ESG Project Manager

Tualatin, OR · On-site

$110 - $165/hr

... operating both as a data analyst and strategic thinker. What You'll Do Support Strategy ... Strong analytical and project management skills in highly matrixed and complex environments.

New

Understanding of how budgets and financial data move between planning/budgeting systems and general ... Experience working directly with Finance, FP&A, Accounting, and Information Technology ...

Showing results 21-40

Data Analyst Project Manager information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do data analyst project manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst project manager in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

How do data analyst project managers balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

What are the key skills and qualifications needed to thrive as a data analyst project manager?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

Can a data analyst be a project manager?

A data analyst can transition into a project management role if they develop skills in leadership, planning, and communication, often supported by certifications like PMP or Agile. While the roles have different core focuses, combining analytical expertise with project management skills can enable a data analyst to effectively lead projects involving data-driven initiatives.

Who earns more, a data analyst or a data analyst project manager?

Data analyst project managers typically earn higher salaries than data analysts due to their additional responsibilities in overseeing projects, managing teams, and strategic planning. Salary differences also depend on experience, industry, and certifications like PMP or advanced analytics skills, with project managers often earning a premium for leadership roles.

What are the most commonly searched types of Data Analyst Project jobs in Portland, OR?

The most popular types of Data Analyst Project jobs in Portland, OR are:

What are popular job titles related to Data Analyst Project Manager jobs in Portland, OR?

For Data Analyst Project Manager jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Analyst Project Manager jobs in Portland, OR look for?

The top searched job categories for Data Analyst Project Manager jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Analyst Project Manager jobs?

Cities near Portland, OR with the most Data Analyst Project Manager job openings:

Infographic showing various Data Analyst Project Manager job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Print Supplies Big Data Analyst

Hp

Vancouver, WA

$105K - $161K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 12 days ago


Key responsibilities

  • Support and own monthly validation processes for print telemetry outputs, dashboards, and reporting handoffs.

  • Partner with forecasting and business stakeholders to analyze usage, share, installed base, and product readiness questions through structured analysis and communication.

  • Develop and maintain automated processes for validation, data quality checks, issue diagnosis, and stakeholder decision-making.


HP rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

70th of 161 rated electronics manufacturers


Job description

Print Supplies Big Data Analyst

Description -

Job Summary
We are seeking a highly analytical, business-oriented Data Analyst to support the Print Supplies business. This position sits at the intersection of analytics, data quality, product data stewardship, monthly reporting operations, and forecasting enablement. In this role, you will partner closely with data engineers, data scientists, and the supplies forecasting teams to ensure data processing pipeline integrity, maintain key business reference and enrichment data, and automate data verification and acceptance processes.
Responsibilities

Own and support monthly validation processes for print telemetry outputs, dashboard semantic layers, and related usage/share reporting handoffs

Serve as a key analytical partner for Forecasting and business stakeholders, helping answer usage, share, installed base, product readiness, and release approval questions through structured analysis and clear communication

Develop and maintain automated and well-documented processes that support recurring validation, issue diagnosis, data quality checks, and stakeholder decision-making

Conduct root-cause analysis on data discrepancies across sources, grains, tables, dashboards, and processing layers, especially where definitions, filters, platform coverage, or reporting timing create mismatches

Provide consultative support for quick-turn ad hoc requests, escalation support, and deep-dive investigations while helping route work through the appropriate intake, prioritization, and transition processes

Collaborate with dashboard, data engineering, and business intelligence partners to improve transparency, repeatability, and maintainability of analytics outputs
Provides guidance and mentoring to less- experienced staff members
Applies advanced subject matter knowledge, leads, and contributes to complex projects, and exercises independent judgment in resolving business issues and establishing policies
Develops and builds productive internal/external working relationships and may provide mentoring and guidance to lower-level employees
Education & Experience Recommended
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
Knowledge & Skills

Analytics and problem solving: exploratory analysis, root-cause analysis, metric design, data validation, anomaly detection, and ability to diagnose complex data issues across multiple factors

Data quality and governance: profiling, anomaly detection, metric validation, documentation, data lineage, privacy awareness, and the ability to communicate quality risks and remediation paths

Business intelligence and visualization: experience with Power BI, Qlik, advanced Excel, or similar tools to build stakeholder-ready dashboards, analyses, and presentations

Python for data analysis, validation, automation, time-series analysis, reproducible workflows, and tooling to support recurring quality checks and investigations

SQL, including complex joins, CTEs, window functions, query performance optimization

Databricks and modern analytics tooling: ability to work in notebooks, queries, dashboard-supporting datasets, and AI-assisted development environments while maintaining reproducible and reviewable outputs

Forecasting and time-series: ability to support forecasting partners, interpret restatements and metric volatility, and contribute to forecasting automation or time-series analysis workflows

Applied statistics: sampling, confidence intervals, and basic experiment/pre-post evaluation (role-dependent)

Strong documentation habits for code and process development, data analyses and investigations, data lineage, and stakeholder guidance. Familiar with version control (e.g., Git), Jira, and Confluence


Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

The pay range for this role is $105,050 to $161,800 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

* Health insurance
* Dental insurance
* Vision insurance
* Long term/short term disability insurance
* Employee assistance program
* Flexible spending account
* Life insurance
* Generous time off policies, including;
* 4-12 weeks fully paid parental leave based on tenure
* 11 paid holidays
* Additional flexible paid vacation and sick leave (US benefits overview
[https://hpbenefits.ce.alight.com/])


The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

No

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


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About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939