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Remote Data Optimization Jobs in Colorado (NOW HIRING)

Eliassen Group

Senior Applied Data Scientist

Almont, CO · Remote

$80 - $95/hr

Description: 100% Remote, EST hours Our client, a leader in their industry, is hiring a Senior ... Design, develop, and own applied data science and optimization models supporting a pricing engine ...

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... Partner with the Snowflake Administrator on platform optimization, security, resource management ...

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... Partner with the Snowflake Administrator on platform optimization, security, resource management ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... Multiple optimization and intelligent automation initiatives requiring scalable feature engineering ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... Multiple optimization and intelligent automation initiatives requiring scalable feature engineering ...

Eliassen Group

Interim FP&A Transformation Lead

Almont, CO · Remote

$90 - $110/hr

Remote Responsibilities: * Oversee financial planning activities including budgeting, forecasting ... data optimization, and AI-enabled solutions * Drive finance transformation efforts by coordinating ...

AgileEngine

Senior Data Analyst ID68394

Aurora, CO · On-site +1

$87K - $110K/yr

ABOUT THE ROLE We are looking for a Senior Data Analyst to design and maintain enterprise ... Tailor your schedule for an optimal work-life balance, with options for remote work and flexible ...

Vantage Data Centers

Senior Data Engineer, Global

Denver, CO · On-site +1

$109K - $148K/yr

... remote. Vantage Data Centersis seeking a Senior Data Engineer to help evolve and scale our ... Implement data quality, governance, security, and performance optimization practices to ensure ...

EnthuZiastic

Growth Hacker - Remote

Denver, CO · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Thornton, CO · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Aurora, CO · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

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Remote Data Optimization information

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 is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps ensure faster data retrieval and better decision-making.

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 remote optimization?

Remote optimization in a data optimization role involves analyzing and improving data processes, storage, and workflows from a remote location. It often requires skills in data analysis tools, programming, and cloud-based platforms to enhance efficiency and accuracy without being on-site.

How can I make 2000 a week working from home?

A remote data optimization professional can earn $2,000 or more weekly by working on high-demand projects, optimizing large datasets, and utilizing skills in data analysis, SQL, and automation tools. Achieving this income level often requires experience, a strong portfolio, and the ability to handle multiple clients or projects simultaneously.

Is remote data entry a real job?

Remote data entry is a legitimate job that involves inputting, updating, and managing data from a remote location using computers and data management software. It often requires attention to detail, basic computer skills, and familiarity with tools like spreadsheets or database systems.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

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 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 the most commonly searched types of Data Optimization jobs in Colorado? The most popular types of Data Optimization jobs in Colorado are:
What are popular job titles related to Remote Data Optimization jobs in Colorado? For Remote Data Optimization jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Colorado look for? The top searched job categories for Remote Data Optimization jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Optimization jobs? Cities in Colorado with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you

Ad Optimization Specialist - LATAM (Remote)

MonetizeMore

Rico, CO • On-site, Remote

Full-time

Posted 9 days ago

Job description

About MonetizeMore
MonetizeMore is a global pioneer in ad technology, powering ad monetization for over 150,000 websites and apps globally. We combine proprietary technology with sophisticated optimization strategies to secure and maximize publisher revenue. We are a 100% remote, culture-first organization driven by four core values: Integrity, Enterprising, Kaizen (Continuous Improvement), and Collaboration. We empower our global team with absolute location autonomy and flexible global schedules. We care about the impact you deliver, not the hours you log on.
About the Role
We are looking for an Ad Optimization Success Manager who sits at the exact intersection of technical Ad Ops execution and strategic client relationship management. This isn't a standard account management role where you just pass messages along, nor is it a back-end data silo.
In this role, you will be the primary technical advisor and strategic champion for our LATAM publishers. You will configure, test, and manage complex ad stacks while translating technical data into clear, revenue-driving strategies for our clients. Your mission is simple: keep publisher ad health pristine, maximize their yield, and ensure they view MonetizeMore as an indispensable partner in their business growth.
Core Responsibilities
1. Drive Partner Success through Ad Stack Optimization & Management
  • Configuration & Execution: Partner closely with our Ad Demand and Engineering teams to configure, test, and manage end-to-end ad stacks within Google Ad Manager (GAM) and header bidding environments.
  • Yield Optimization: Analyze publisher inventory to pinpoint top-performing ad units, then confidently implement layout and stack adjustments to maximize revenue.
  • Feature Activation: Own the product adoption of your publishers, ensuring all applicable PubGuru tech features are fully activated to drive value to our partners..
2. Strategic Growth & Data Analysis
  • Revenue Consulting: Look beyond basic ad setups, go beyond the ad unit. Proactively evaluate publisher performance and long-term goals to design custom optimization strategies, identifying revenue opportunities in new markets, geographies, funnels or niches.
  • Performance Reporting: Run and interpret weekly (7-day), monthly (30-day), and annual performance reviews. You will use historical data to spot macro trends, explain revenue shifts, and meet both internal KPIs and publisher targets.
  • Client Translation: Act as the strategic voice for your portfolio. You'll lead calls, share performance insights, and educate publishers on new ad technologies or features that align with their business.
3. QA, Compliance & Technical Troubleshooting
  • Daily Partner Health: Conduct regular quality checks to ensure placements are filling correctly and monitor critical metrics like CPM, Page RPM, and Session RPM to flag and fix fluctuations immediately.
  • Policy Enforcement: Continuously audit publisher sites and demand partners to maintain strict compliance with Google policies and ensure flawless impression tracking, preventing any ad interruptions.
  • Cross-Functional Troubleshooting: Act as the bridge between the client and our internal teams. When complex technical errors or anomalies arise, you will collaborate with Solution Engineers and technical support to diagnose the root cause and resolve it quickly.
Key Success Outcomes
  • Yield & Revenue Growth: Consistently hit or exceed publisher revenue targets through proactive ad stack optimizations.
  • Flawless Support & Retention: Deliver smooth post-live transitions with zero-day technical friction and high adoption of PubGuru features.
  • Zero Ad Interruptions: Maintain a clean compliance record across your portfolio with proactive policy audits and rapid issue resolution.
  • Trusted Advisor Status: Build measurable client satisfaction by turning complex programmatic data into practical, actionable business advice for publishers.
Who You Are
  • The GAM Power User: You have 2-4 years of hands-on experience in Ad Ops, Technical Account Management, or programmatic Customer Success. Deep, practical knowledge of Google Ad Manager (GAM) is an absolute must for this role.
  • You are fluent in both Portuguese and English, with strong verbal and written communication skills in both languages. You can confidently communicate with Portuguese-speaking clients and stakeholders while maintaining professional proficiency in English for internal collaboration, reporting, and client-facing communications.
  • The Analytical Translator: You don't just export spreadsheets; you read between the lines of a dashboard. You have advanced Excel skills and a knack for turning complex data points into clear, executive-level summaries that non-technical clients can understand.
  • The Grounded Client Advocate: You are naturally proactive and highly empathetic to customer challenges, but you anchor your client relationships in data, clear expectations, and ethical communication.
  • The Kaizen Mindset: You enjoy a fast-evolving industry. You're eager to learn new technologies, adapt to shifting Google policies, and constantly iterate on your optimization playbooks.
What We Offer
  • True Flexibility: Work from anywhere in the world with a flexible schedule that fits your lifestyle.
  • Professional Development: Continuous opportunities for career growth, learning allowances, and direct impact on a fast-growing company.

Apply