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

Market and Global Data and Analytics teams * Consumer Engagement (including CRM and Membership) REQUIREMENTS Soft Skills * Very good communication & negotiation skills, comfortable presenting complex ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Defines and manages SLAs and data quality for datasets and processes. * Designs, implements, tests ... Analyzes data, analytics, and BI problems to determine suitable solutions. Establishes and ...

Market and Global Data and Analytics teams * Consumer Engagement (including CRM and Membership) REQUIREMENTS Soft Skills * Very good communication & negotiation skills, comfortable presenting complex ...

DMO Data Analyst

Tigard, OR · On-site

$80K - $95K/yr

May consult with managers and possibly executives in the use of analytical and reporting tools to ... Experience with Data Reporting & Data Quality Monitoring such as Adhoc and Regulatory Reporting ...

OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1 ... Manage multiple evaluation and analysis projects simultaneously to help OCHIN improve our products ...

Application Development Project Management Quality Assurance Business/Systems Analysis ... Data Analyst Job Details Activities could include but is not limited to the following: Analysis of ...

Data Analyst Job Details The successful candidate for this position will provide operational ... Management experience - 2+ years experience with Web Analytics tools such as Adobe Omniture, Web ...

Typically has 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with 3-5 years of work experience.

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Data Analytics Manager information

See Portland, OR salary details

$32.8K

$102.8K

$182.1K

How much do data analytics manager jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data analytics manager in Portland, OR is $102,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $132,800.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

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 does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

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.

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 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.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
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 July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $102,824 per year, or $49.4 per hour.
Manager, Digital Consumer Analytics

Manager, Digital Consumer Analytics

Adidas

Portland, OR • On-site

Other

Posted 5 days ago


Adidas rating

7.4

Company rating: 7.4 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

9th of 104 rated fashion retailers


Job description

GENERAL PURPOSE
As Manager, Digital Marketing Analytics (Consumer), you are responsible for delivering accurate, high-quality consumer-focused analytics that support eCommerce performance. You translate business questions into actionable insights, ensuring strong alignment to business goals, financial targets, and current trading context. Your analysis thus drives the reach of adidas, and growth of our audience to ultimately achieve market sales plans.

KEY RESPONSIBILITIES

Accountable for end-to-end delivery of consumer performance analysis, including monitoring, insight generation, and stakeholder communication.

Consumer Performance Analysis & Insight Generation

  • Deliver high-quality, consumer-focused analyses
  • Translate business needs into analytical approaches
  • Connect performance drivers, campaigns, and outcomes
  • Monitor performance vs targets and identify risks
  • Integrate campaign and promotional context

Analytical Excellence & Quality Assurance

  • Ensure accuracy and reliability through QA processes
  • Deliver structured and repeatable outputs
  • Maintain a high bar for detail

Project Management & Delivery

  • Manage multiple priorities simultaneously
  • Deliver against timelines whether there are longer exploration projects and quick turnaround analyses
  • Communicate risks and dependencies

Collaboration & Consulting

  • Be able to explain the impact of consumer segmentation and KPIs on business objectives using global aligned frameworks.
  • Work with markets in the optimization of traffic and consumer by using data analysis, providing training and sustaining ongoing communication.
  • Work cross-functionally with other analytics teams in the market, global Digital Analytics teams and global Data and Analytics teams to create synergies, address opportunities and drive revenue.
  • Build quantitative analysis to develop insights for communication with stakeholders.

Best Practices & Toolsets

  • Develop and implement best practice toolsets and frameworks that allow continuous optimization of consumer databases and lifetime value as well as organic and paid media traffic.

KEY RELATIONSHIPS

  • Regional eCommerce Teams
  • Market and Global Digital Analytics teams
  • Market and Global Data and Analytics teams
  • Consumer Engagement (including CRM and Membership)

REQUIREMENTS

Soft Skills

  • Very good communication & negotiation skills, comfortable presenting complex topics to stakeholders at various organizational levels both in person and remotely
  • Ability to efficiently work in a cross-functional organization, ability to develop influential and collaborative relationships with stakeholders from digital and non-digital disciplines on all levels.
  • Strong storytelling skills
  • Creative and energetic team player who has a passion for consumer and audience segmentation and analytics.

Hard Skills

  • Technical skills including hands-on SQL query, Exasol/ SQL data warehouse and Databricks/ Lakehouse environment, Python/ R/ modeling, data processing and visualization such as usage of Alteryx/ Airflow, Tableau, PowerBI etc.
  • In-depth understanding of data tracking technology of the domain (frontend tagging, server to server, sync & async, etc.), privacy regulation and impact on data, and recalibration methodology for measurement that support privacy rules
  • Very good project and account management skills
  • Fluent English, both verbally and written

Education & Professional Experience

  • University degree in the field of Business or equivalent
  • 5+ years of experience in digital analytics
  • Extensive experience with segmentation and consumer analysis
  • Experience in an eCommerce environment
  • Proven ability to deliver insights

adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We actively encourage individuals with disabilities to apply and will provide reasonable accommodations throughout the recruitment process. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.

At adidas we offer a Hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in-person presentation, in-office attendance is required even on Friday.


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