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Manager Data Analytics Engineer Jobs in Oregon (NOW HIRING)

Senior Business Intelligence Analytics Engineer

OR · On-site +1

$51 - $66.25/hr

The Senior BI Analytics Engineer is a core technical role in Jamf's data organisation. You'll own ... Minimum of 2 years managing the same data model system over time, extending it to satisfy multiple ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

... Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our ... Cloud cost management experience, ideally in an AWS environment * Familiarity with AI/ML ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

OR · On-site

$250K - $421K/yr

Our team uses data for the consumer product security in two ways: 1) provide insights into ... We are looking for an analytics engineer to join our team to drive security metrics as well as data ...

OR

$330K - $566K/yr

The Ads Data & Insights team's mission at Netflix is to help build the foundation of the Ads ... Experience building or working with semantic modeling tools like LookML for creating and managing ...

Data Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

OR

$330K - $566K/yr

Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad ... As a Senior Analytics Engineer, you'll design metrics, generate insights by scoping and executing ...

OR

$180K - $200K/yr

Experience working closely with analytics engineering, data modeling, or similar downstream consumers of data. Preferred * Experience designing or managing IAM policies and least-privilege access ...

OR · On-site

You will manage, build and lead a high-performing team responsible for designing resilient data ... Partner with Product, Engineering, Data Science, Analytics, Finance, and Enterprise teams to ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

OR · On-site

$480K - $750K/yr

The Title & Launch Management Data Science and Engineering team is at the forefront of driving ... We are seeking an experienced leader to lead a multidisciplinary team of analytics engineers, data ...

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Showing results 1-20

Manager Data Analytics Engineer information

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Oregon? The most popular types of Data Analytics Engineer jobs in Oregon are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Oregon? For Manager Data Analytics Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Oregon look for? The top searched job categories for Manager Data Analytics Engineer jobs in Oregon are:
What cities in Oregon are hiring for Manager Data Analytics Engineer jobs? Cities in Oregon with the most Manager Data Analytics Engineer job openings:
Senior Business Intelligence Analytics Engineer

Senior Business Intelligence Analytics Engineer

Jamf

OR • On-site, Remote

$51 - $66.25/hr

Other

Posted 15 days ago


Job description

What you'll do at Jamf:

The Senior BI Analytics Engineer is a core technical role in Jamf's data organisation. You'll own the design and delivery of trusted data models across the Jamf Data Platform, from source-aligned staging layers through to the business-facing marts and semantic views that power BI, financial reporting, and product analytics. This is an end-to-end role: you think in systems, not just queries.


You'll bridge the gap between raw data from backend services and the decisions Jamf needs to make faster, working closely with data engineers, analysts, data scientists, and business stakeholders to ensure data is accurate, well-defined, and genuinely useful. As AI-powered analytics becomes central to how Jamf operates, you'll also play a key role in building the semantic foundation that enables natural language querying through tools like Snowflake Cortex Analyst. You'll raise the bar on data quality, drive best practices across the discipline, and help make the Jamf Data Platform a genuine competitive asset.

You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. 

What you can expect to do in this role:

  • Design and build robust downstream data models using the Trusted Data Development workflow, covering range of analytics and integration use cases.
  • Design and maintain Snowflake semantic views with rich metadata annotation, business definitions, entity relationships, and column-level descriptions, enabling reliable AI-driven and natural language querying via tools such as Snowflake Cortex Analyst.
  • Partner with Data Platform and AI Architecture teams to build solutions that bridge structured analytics with natural language interfaces, making Snowflake data reliably queryable by AI agents and business users.
  • Set and uphold engineering standards writing maintainable, high-scale SQL and dbt code, leading code reviews, and acting as the code owner and BI reviewer for specific schemas.
  • Champion data quality and trusted data models implementing testing frameworks, driving data profiling, and partnering cross-functionally to resolve quality issues at their source.
  • Own one or more business stakeholder relationships, translating requirements into well-integrated data designs and ensuring raw data is accurately interpreted across business units, drawing on depth in at least two major data domains such as marketing, sales, finance product, or engineering.
  • Drive Data Platform optimisation identifying opportunities to reduce cost and complexity, contributing to the Data Catalog, and leading prioritisation of data governance issues.
  • Upskill analysts and business partners through code pairing, training, and documentation scaling data acumen and enabling self-service analytics across the organisation.
  • Lead multiple analytics projects from beginning to operationalization
  • #LIRemote

What we are looking for:

  • Minimum of 6 years in Data as an Analyst, Engineer, Scientist, or equivalent (Required)
  • Minimum of 2 years managing the same data model system over time, extending it to satisfy multiple general business use case. (Required) 
  • Minimum of 4 years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (Required)
  • Minimum of 3 years building and maintaining data models using dbt, with demonstrable experience across modelling layers, testing, and documentation (Required)
  • Experience developing semantic views or semantic layer data models designed for LLM or AI integrations, including metadata standards, business glossaries, and column-level descriptions that support reliable AI-driven querying, using tools such as Snowflake Cortex Analyst, dbt Semantic Layer, or equivalent (Required)
  • Experience building data solutions that support NLP-based querying, such as Text-to-SQL pipelines or conversational analytics interfaces that operate over structured data (Required)
  • Experienced in Scrum or Kanban (Preferred)
  • General knowledge of Apple products and SaaS business models (Preferred)
  • Ability to communicate complex ideas simply and convincingly 
  • Ability to listen to stakeholder needs and finds way to deliver well integrated solutions that serve specific needs. 
  • Significant hands-on experience is the primary requirement for this role. A Bachelor's Degree in Science, Technology, Engineering, Mathematics, or a related field is one route, but equivalent experience will be considered
  • A combination of relevant experience and education may be considered

SECURITY AND PRIVACY REQUIREMENTS

  • Participation in ongoing security training is mandatory
  • Established security protocols will be adhered to, sensitive data will be handled responsibly, and data protection practices are followed, including understanding relevant privacy regulations and reporting breaches
  • Acknowledging the Jamf Code of Conduct, where applicable security and privacy policies can be found, is a requirement of all roles at Jamf

How we help you reach your best potential:

  • Named a 2025 Best Companies to Work For by U.S. News
  • Named a 2024 Best Technology Company to Work For by U.S. News
  • Named one of Forbes Most Trusted Companies in 2024
  • Named a 2024 Best Companies to Work For by U.S. News
  • Our developers work in agile delivery teams to produce new features, improve software components, and are the subject matter experts for our Jamf product offerings.
  • You will have the opportunity to make a real and meaningful impact for more than 75,000 global customers with the best Apple device management solution in the world.
  • We constantly push the boundaries of technology, our developers support new innovations and OS releases the moment they are made available by Apple.
  • Several Jamf engineers are named in patents and with team names like CatDog, ThunderSnow and Dalek you can expect to have some fun while building cutting-edge software.
  • You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect.
  • We offer a clear career path that enables you to grow under supportive leadership and management
  • Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at medium.com/jamf-engineering
  • 22 of 25 world's most valuable brands rely on Jamf to do their best work (as ranked by Forbes).
  • Over 100,000 Jamf Nation users, the largest online IT community in the world.

Pay Transparency

At Jamf, base pay is one part of our total compensation package and is set within a defined range. These ranges can vary based on hiring location. Where an individual's pay falls within that range depends on several factors, including role scope, location, budget, skills, experience, and qualifications. This approach helps ensure fair, competitive pay and provides room to grow as you develop in your role.