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Data Analytics Manager Jobs in Portland, OR (NOW HIRING)

Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure ... Analyze infrastructure and operational data to identify: * Trends * Risks * Performance issues

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics ... Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform ...

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics ... Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform ...

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Showing results 1-20

Data Analytics Manager information

See Portland, OR salary details

$32.9K

$103K

$182.4K

How much do data analytics manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data analytics manager in Portland, OR is $103,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $133,100.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

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

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

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

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

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

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

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

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

Infographic showing various Data Analytics Manager job openings in Portland, OR as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $103,023 per year, or $49.5 per hour.

Campaign & Analytics Manager

Impact Scale LLC

Vancouver, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Impact Scale LLC is seeking an execution-focused, highly analytical Campaign Analytics Manager to join our core campaign operations division. This is a pure, performance-driven operations role focused on launching, monitoring, and aggressively scaling high-volume outbound SMS and email initiatives.
Please note: Creative copywriting is not the focus of this position.

In this role, you will work closely with our existing team of campaign managers to protect margins, eliminate media inefficiencies, and scale high-yielding traffic pathways. You will act as the data-driven engine behind our outbound distribution, operating at a high velocity where marginal improvements translate directly into massive scale.

Key Responsibilities

Campaign Execution Performance Tuning

  • End-to-End Management: Launch, monitor, and manage high-volume daily SMS and email campaigns with zero operational friction.

  • Margin Optimization: Continuously monitor live traffic metrics to maximize ROIand ensure all active outbound initiatives operate within high-margin profiles.

  • Deliverability Auditing: Aggressively monitor inboxing rates, domain health, cell carrier filtering, and Click-Through Rates (CTRs) across diverse messaging providers to protect delivery pipelines.

  • Collaboration Scale: Partner closely with other internal campaign managers to rapidly share performance insights, isolate wins, and scale winning strategies across business lines.

Data Analytics List Engineering

  • Data-Backed Optimization: Analyze deep campaign datasets to identify trends and implement rapid adjustments that lift conversion rates and engagement metrics.

  • List Segment Engineering: Clean, organize, and optimize incoming lead lists based on historical user engagement, demographic profiles, and conversion history.

  • Structured Split Testing: Design and execute complex A/B and multivariate tests on list segments, message timing windows, and specific layout blocks.

  • Governance Tracking: Maintain pristine, real-time performance dashboards, testing logs, and executive campaign reporting frameworks.

Qualifications Skills

  • Experience Level: 2–5 years of progressive experience in performance marketing, outbound lead generation, or direct-response campaign operations.

  • Channel Expertise: Deep hands-on experience running, troubleshooting, and scaling high-volume SMS and/or email campaigns.

  • Analytical Fluency: Data-focused mindset with advanced proficiency in spreadsheets (Excel/Google Sheets) and direct-response tracking analytics.

  • KPI Mastery: Thorough, native understanding of outbound performance metrics, specifically Earnings Per Click (EPC), ROI, CTR, and deliverability mechanics Growth Talent.

  • Core Attributes: Highly organized, relentless execution speed, comfortable handling high data volumes, and a clear, responsive communication style.

  • Location Requirement: Must be local to the Vancouver, WA / Portland Metro area and fully available for in-office collaboration at our Downtown Vancouver office at least 3 days per week(subject to change).

Nice to Haves

  • Prior experience operating in high-volume affiliate marketing or complex lead generation environments.

  • Deep familiarity with modern outbound compliance frameworks and deliverability best practices (TCPA, CAN-SPAM, 10DLCregulations).

  • Exposure to basic campaign scripting tools, engineering automation platforms, or data integration workflows.

Compensation Benefits

  • Health Wellness: Comprehensive medical, dental, vision, and life insurance packages (Available following a standard 90-day introductory period).

  • Retirement: Corporate retirement savings plan options with a traditional 401(k) (Eligible after 90 days of continuous employment).

  • Time Off: Generous Paid Time Off (PTO) allotment and observed holiday schedule

  • Perks Luxury Culture: Daily catered lunches, a fully stocked premium coffee and tea bar, unlimited snacks, and free garage parking. Employees also enjoy routine professional development opportunities within an elite, growth-driven leadership environment in Downtown Vancouver, WA.