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Data Analytics Lead Remote Jobs in Oregon (NOW HIRING)

Parachute Health

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Lennar

Director, Data & Analytics

Salem, OR · On-site +1

Lead, mentor, and develop a team of data engineers, analysts, and scientists, ensuring alignment with organizational goals. * Foster a collaborative and innovative team culture, promoting continuous ...

Fuze Health

Manager, Data Analytics - FuzeRx

OR · On-site +1

Lead, mentor, and grow a team of Product Analysts, fostering a culture of ownership, technical ... July 31, 2026 #LI-Remote Equal Opportunity Employer Fuze Health is an Equal Opportunity Employer.

Under Armour

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ... Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and ...

Instacart

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks) #LI-Remote

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

This role will leverage best practices in data modeling, visualization, and analytics to deliver ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

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Data Analytics Lead Remote information

What does a data analytics lead do when working remotely?

A Data Analytics Lead working remotely is responsible for overseeing data analysis projects, managing a team of data analysts, and ensuring the delivery of actionable insights to support business decisions. They collaborate with stakeholders to define analytics goals, design data models, and implement data-driven strategies. Remote Data Analytics Leads use various digital tools to coordinate workflows, monitor project progress, and communicate findings effectively with both technical and non-technical team members. Their role is essential in driving data-centric initiatives and ensuring the accuracy and integrity of analytical results.

What are the key skills and qualifications needed to thrive as a data analytics lead in a remote setting?

To excel as a Data Analytics Lead remotely, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with tools like SQL, Python or R, BI platforms (such as Tableau or Power BI), and cloud data systems is crucial, along with certifications like Certified Analytics Professional or Google Data Analytics. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and translating complex data insights for stakeholders. These competencies ensure effective decision-making, seamless project execution, and impactful data-driven strategies within a remote work environment.

How does a data analytics lead typically collaborate with cross-functional teams in a remote setting?

As a Data Analytics Lead working remotely, you'll frequently coordinate with stakeholders from product, engineering, marketing, and executive teams. This involves leading virtual meetings to clarify requirements, aligning on project goals, and presenting analytical findings in a clear, actionable format. You'll also mentor junior analysts, foster a collaborative team culture through digital platforms, and ensure data-driven insights are effectively integrated into business strategies. Strong communication skills and the ability to manage projects across time zones are key to success in this environment.

What is the difference between Data Analytics Lead Remote vs Data Analyst Remote?

AspectData Analytics Lead RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in leadership rolesBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeading analytics projects, managing teams, strategic planningData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsSimilar industries, often within larger teams or departments

The main difference between Data Analytics Lead Remote and Data Analyst Remote lies in their responsibilities and seniority. The Lead typically manages analytics teams and oversees strategic projects, requiring more experience and leadership skills. In contrast, Data Analysts focus on data collection, analysis, and reporting tasks. Both roles are vital in data-driven organizations, but the Lead holds a broader scope and higher level of responsibility.

What are popular job titles related to Data Analytics Lead Remote jobs in Oregon?

For Data Analytics Lead Remote jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Analytics Lead Remote jobs in Oregon look for?

The top searched job categories for Data Analytics Lead Remote jobs in Oregon are:

What cities in Oregon are hiring for Data Analytics Lead Remote jobs?

Cities in Oregon with the most Data Analytics Lead Remote job openings:

Data Analytics Lead Remote jobs near you
Infographic showing various Data Analytics Lead Remote job openings in Oregon as of August 2026, with employment types broken down into 57% Full Time, 29% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Ads AI Analytics Lead II

Instacart

OR • On-site, Remote

Full-time

Re-posted 10 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

Instacart logo

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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