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Remote Data Optimization Jobs in Coeur D Alene, ID

Corporate Tools

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

Overview As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter ... This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in ...

Corporate Tools

SEO Strategist

Post Falls, ID · On-site +1

$65K/yr

You'll build data-driven strategies that align with our business goals and connect with real users ... This is a remote position. Our main office is in Spokane WA, and we have satellite offices in ...

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... optimizing data delivery, re-designing infrastructure for greater scalability, etc. * Improve ...

Corporate Tools

YouTube Channel Manager

Post Falls, ID · On-site +1

$90K/yr

Remote is OK; our hubs are Spokane, WA; Austin, TX; and Salt Lake City, UT. (Must be authorized to ... Use data: watch times, retention, click-through, audience demographics, comments to continuously ...

Liberty Mutual

Staff Attorney

Liberty Lake, WA · On-site +1

Description This role is primarily remote in the state of Washington except for required ... Employ advanced e-discovery tools, case management systems, and data analysis software to ...

Liberty Mutual

Staff Attorney

Liberty Lake, WA · On-site +1

Description This role is primarily remote in the state of Washington except for required ... Employ advanced e-discovery tools, case management systems, and data analysis software to ...

All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Coeur D Alene, ID

Remote Data Optimization information

See Coeur D Alene, ID salary details

$16

$55

$79

How much do remote data optimization jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data optimization in Coeur D Alene, ID is $55.50, according to ZipRecruiter salary data. Most workers in this role earn between $45.58 and $65.77 per hour, depending on experience, location, and employer.

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

What job categories do people searching Remote Data Optimization jobs in Coeur D Alene, ID look for?

The top searched job categories for Remote Data Optimization jobs in Coeur D Alene, ID are:

Remote Data Optimization jobs near you

SEO Analyst

Corporate Tools

Post Falls, ID • On-site, Remote

$85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Overview
As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter SEO decisions across our ecosystem. You'll dive into traffic trends, user signals, and keyword performance, but you won't stop there. You'll connect the dots between visibility, user behavior, business goals, and team efforts.
Your insights will support our strategy team, guide our writers, and empower our developers and designers. You'll be our go-to for routine executive-level reporting, analysis of shifting search behavior, and identifying the actual impact of work done across our teams. You know that rankings are nice, but user experience, brand visibility, and business outcomes matter more.
This role sits at the intersection of marketing, product, and analytics. If you've ever caught yourself saying, "That number looks good, but is it real ?" you'll fit right in.
You'll be a traditional company employee. This is a full-time, 40-hour M-F position with company benefits. This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in Austin, TX, and Salt Lake City, UT.
Wage
$85,000 / year
Benefits
  • 100% employer-paid medical, dental and vision for employees
  • Annual review with raise option
  • 22 days Paid Time Off accrued annually, and 4 holidays
    • After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want
    • The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day
  • Paid Parental Leave
  • Up to 6% company matching 401(k) with no vesting period
  • Quarterly allowance
    • Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
  • Open concept office with friendly coworkers
  • Creative environment where you can make a difference
  • No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it
  • Trail Mix Bar - oh yeah

Responsibilities
  • Monitor and interpret core metrics that reflect shifting user behavior, search trends, and AI-driven changes in visibility
  • Build and deliver ongoing SEO performance reports for executive and stakeholder teams that are clear, honest, and grounded in what matters
  • Identify attribution patterns and performance indicators that highlight the actual impact of content, development, and marketing work
  • Investigate how people interact with LLMs and other AI tools and assess how our content impacts the information they return.
  • Collaborate with data engineers to refine and validate tracking mechanisms and ensure clean, reliable data
  • Help design experiments or A/B tests to improve user engagement
  • Speak comfortably and clearly about the role of AI and branded search visibility in modern SEO
  • Tell stories with data, no fluff, no overreach, just solid, actionable insights
  • Recognize the difference between traffic volume and actual value, and guide others toward what matters
  • Track and report on brand presence across AI summaries, search features, and evolving SERP types

Requirements
  • 3+ years of experience in SEO, web analytics, or related digital marketing roles
  • Fluency in tools like Google Analytics, Google Search Console, Ahrefs, and Screaming Frog
  • Understands how to tie SEO performance to business outcomes and real-world results
  • Strong communication skills and the ability to translate complex data into plain English insights for non-technical stakeholders
  • Inquisitive and proactive in validating assumptions and finding the signal in the noise
  • Experience creating dashboards or reporting templates for leadership-level visibility
  • Experience working with or alongside data engineers or BI teams
  • Comfortable analyzing branded search volume, user journey metrics, and AI visibility trends
  • Strong interest in user behavior around LLMs and other AI tools, with an understanding of what influences their outputs
  • Familiar with a variety of data tools like Tag Manager, Matomo, and BigQuery
  • Ability to analyze data for attribution and performance insights across multiple marketing channels

Apply