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Analytics Manager Jobs in Oregon (NOW HIRING)

Instacart

Ads AI Analytics Lead II

OR · Remote

As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will ... Ingest and enrich unstructured Ads content and publish retrievalready datasets using our managed ...

Exol

Senior Analyst, Network Optimization

OR · On-site +1

$87K - $116K/yr

This position reports to the Senior Manager, Supply Chain Design & Analytics. What we do The Customer Solutions organization at Exol is a critical part of the sales engine designed to provide end-to ...

Thermo Fisher Scientific

Sr Manager, Finance

Hillsboro, OR · On-site

$118K - $161K/yr

... Manager, Finance supporting our global Semiconductor Sales organization within the Electron ... The ideal candidate brings strong commercial acumen, advanced analytical capabilities, and the ...

Thermo Fisher Scientific

Sr Manager, Finance

Hillsboro, OR

$118K - $161K/yr

... Manager, Finance supporting our global Semiconductor Sales organization within the Electron ... The ideal candidate brings strong commercial acumen, advanced analytical capabilities, and the ...

BerryDunn

Senior Manager/Consulting Actuary

Overview BerryDunn's Health Analytics Practice Group (HAPG) is dedicated to supporting decision ... Analyzing healthcare financing and payment approaches, including Medicaid managed care capitation ...

Pantheon Systems, Inc

OR · On-site

$135K - $188K/yr

Pantheon's multitenant, container-based platform enables organizations to manage all of their ... The Role Senior Analytics Engineer The Analytics Engineering team owns how Pantheon's data becomes ...

eCommerce

OR · Hybrid

$175/hr

... analytics manager, both budgeted) and orchestrate a broader cross-functional org already in place: paid media, channel management, content, data/BI, Canada, and the agency partner. **100-day ...

Flux

Project Manager

Portland, OR · On-site

Excellent analytical, problem-solving, and critical-thinking abilities with strong attention to detail. * Skilled in facilitating meetings and navigating challenging conversations with ...

NV5

Senior Geospatial Analyst

Manages and organizes geospatial data, ensuring data accessibility, integrity, and security ... Excellent analytical, problem-solving, and critical thinking skills. * Strong communication ...

Clarivate Analytics

Account Manager, Higher Education

OR · Remote

$84K - $105K/yr

We are looking for an Account Manager, Higher Education Academia (West Coast) to join our Academia and Government sales team.Reporting to the Director, Segment Sales the Account Manager will lead and ...

Lumen Technologies

Senior Lead Monetization Analyst

OR · On-site

... and analytics methods used to evaluate pricing performance, unit economics, and market opportunities. - Strong executive communication, storytelling, and stakeholder management skills, with the ...

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All JobsAnalytics JobsAnalytics Manager JobsAnalytics Manager Jobs in Oregon

Analytics Manager information

See Oregon salary details

$68.2K

$132.5K

$189.3K

How much do analytics manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for analytics manager in Oregon is $132,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $157,500.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

Is data analytics a high paying job?

Data analytics roles, including Analytics Managers, tend to offer high salaries compared to many other positions, especially with experience and advanced skills in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but generally, analytics managers earn above average salaries in the job market.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median salary of around $100,000 to $130,000 per year, depending on experience, industry, and location. Senior roles or those with specialized skills in data tools and leadership may earn higher compensation, often exceeding $150,000 annually.
More about Analytics Manager jobs

What are the most commonly searched types of Analytics jobs in Oregon?

The most popular types of Analytics jobs in Oregon are:

What are popular job titles related to Analytics Manager jobs in Oregon?

For Analytics Manager jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Analytics Manager jobs in Oregon look for?

The top searched job categories for Analytics Manager jobs in Oregon are:

What cities in Oregon are hiring for Analytics Manager jobs?

Cities in Oregon with the most Analytics Manager job openings:

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

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

Analytics Manager jobs near you
Infographic showing various Analytics Manager job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $132,506 per year, or $63.7 per hour.

Ads AI Analytics Lead II

Instacart

OR • Remote

Full-time

Re-posted 6 days ago

Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies

Job description

Overview

The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance.

As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift.

About the Job

  • Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
  • Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
  • Ingest and enrich unstructured Ads content and publish retrievalready datasets using our managed search/vector services.
  • Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and reranking; set quality/latency targets and iterate via experiments.
  • Design agent reasoning and policies on ads, including tool definitions and humanintheloop approvals.
  • Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
  • Run A/B or uplift experiments to quantify impact and guide iteration.
  • Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and timetoinsight.

About You

Minimum Qualifications

  • 3-6 years in analytics engineering, data science, or applied AI with strong SQL and Python.
  • 2+ years of domain expertise in ads, retail, or e-commerce data.
  • Advanced Proficiency in Python and SQL, with experience using dbt and Snowflake or BigQuery, including skills in data modeling, testing, and managing data contracts.
  • Deep Expertise in orchestrating data pipelines using dbt and Airflow
  • Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar)
  • Ability to design offline/online evaluations and run A/B or uplift tests
  • Fluency in Ads analytics concepts such as ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
  • Strong stakeholder communication with a track record of shipping production data or AI systems that drove business impact.
  • Understanding of ML models to drive recommendations on bid, keywords, and budgets
  • Experience with evaluation and guardrail frameworks and humanintheloop QA.

Preferred Qualifications

  • Strong understanding of AI and machine learning concepts, with experience creating AI-driven products.
  • Deep expertise in advertising products, including leading and driving automation projects.
  • Proven ability to improve operational efficiency through automation initiatives in fast-paced environments.
  • Applied experience in modeling techniques for Ads, including forecasting, anomaly detection, uplift modeling, and causal inference.
  • Hands-on experience with workflow automation and low-code development platforms (Zapier, n8n, Gumloop, Superblocks)
  • Familiarity with retail media or ad platforms, including Amazon, Google, Meta, Shopify, or DoorDash.

#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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