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Optimization Analyst Jobs in Nevada (NOW HIRING)

Tawk

SEO Expert

Las Vegas, NV · Remote

Knowledgeable with Google Analytics, Keyword Research, On Page SEO, Google Ads * Knowledge with performing ongoing keyword research including discovery and expansion of keyword opportunities * Knows ...

Tawk

SEO Expert

Las Vegas, NV · On-site +1

Knowledgeable with Google Analytics, Keyword Research, On Page SEO, Google Ads * Knowledge with performing ongoing keyword research including discovery and expansion of keyword opportunities * Knows ...

Shook and Stone CHTD

SEO Manager

Las Vegas, NV

Analytics, reporting & compliance * Report on rankings, traffic, and conversions, tying SEO work back to leads and signed cases. * Maintain conversion tracking and coordinate with marketing on ...

Shook and Stone CHTD

SEO Manager

Las Vegas, NV · On-site

Analytics, reporting & compliance * Report on rankings, traffic, and conversions, tying SEO work back to leads and signed cases. * Maintain conversion tracking and coordinate with marketing on ...

Aquent

SEO & Content Specialist / Strategist

Las Vegas, NV · On-site +1

$75K - $115K/yr

Run keyword research, intent expansion, and competitive discovery analysis using leading analytics and SEO platforms to inform content and on-page decisions. * Structure content and markup to earn ...

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Optimization Analyst information

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$19

$46

$65

How much do optimization analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for optimization analyst in Nevada is $46.69, according to ZipRecruiter salary data. Most workers in this role earn between $34.76 and $61.68 per hour, depending on experience, location, and employer.

What is the difference between Optimization Analyst vs Data Analyst?

AspectOptimization AnalystData Analyst
Required CredentialsBachelor's in Business, Analytics, or related field; certifications like Six Sigma or Google Data AnalyticsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau
Work EnvironmentCorporate, consulting, or e-commerce settings focusing on process improvementVarious industries including finance, healthcare, marketing analyzing data trends
Employer & Industry UsageUsed in industries aiming to optimize processes, supply chains, or marketing campaignsUsed across industries for data interpretation, reporting, and decision support

The Optimization Analyst and Data Analyst roles share overlapping skills in data analysis and require similar educational backgrounds. However, Optimization Analysts focus more on improving processes and efficiency, while Data Analysts primarily interpret data to inform decisions. Both roles are vital in data-driven organizations but serve different strategic purposes.

How does an optimization analyst typically collaborate with other departments to drive business improvements?

Optimization Analysts frequently work cross-functionally, collaborating with teams like marketing, product development, IT, and operations to identify inefficiencies and recommend actionable improvements. They often facilitate data-driven discussions, present findings through reports or dashboards, and work closely with stakeholders to implement and monitor optimization strategies. This collaborative approach ensures that proposed solutions are aligned with business goals and supported by the necessary teams, making strong communication and teamwork skills essential for success in the role.

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

To thrive as an Optimization Analyst, you need strong analytical skills, proficiency in mathematics or statistics, and a relevant degree such as in engineering, mathematics, or computer science. Familiarity with data analysis tools like Excel, SQL, Python, or specialized optimization software (e.g., Gurobi, CPLEX) and certifications in data analytics are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These skills enable Optimization Analysts to identify efficiency improvements, deliver actionable insights, and support data-driven decision-making within organizations.

What does an optimization analyst do?

An optimization analyst finds ways to optimize web performance for a customer. Whether the project is an article or a web page, they develop a strategy and perform tests to increase search results. Job duties include understanding client goals, conducting A/B testing, displaying analytics for customers and suggesting changes, and forming strategies based on data. Qualifications for this career include a bachelor’s degree and experience in web development or marketing.

Do optimization analysts make a lot of money?

Optimization analysts typically earn a competitive salary that varies based on experience, location, and industry. Entry-level positions may start around $50,000 annually, while experienced analysts can earn over $100,000, especially with advanced skills in data analysis, programming, and tools like Excel or SQL.
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Optimization Analyst jobs near you
Infographic showing various Optimization Analyst job openings in Nevada as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $97,117 per year, or $46.7 per hour.

Conversion Rate Optimization Specialist / Sr. CRO Specialist

Aquent

Las Vegas, NV • On-site, Remote

$80K - $125K/yr

Temporary

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

Placement Type:
Permanent
Salary:
$80,000-125,000 Salary
Start Date:
Sep 21, 2026
Aquent is partnering with a leading media company at the forefront of its industry, renowned for operating one of the world's largest premium platforms. This is a pivotal moment for the organization as it embarks on a significant brand evolution. We are seeking a visionary and hands-on Experimentation Specialist to drive the core of our growth strategy. In this role, you won't just run tests; you'll be instrumental in shaping the future of user experience, directly impacting key business metrics and influencing strategic decisions across the entire organization. Your expertise will unlock new insights, optimize user journeys, and accelerate our mission to deliver unparalleled value to our global audience.
Are you a seasoned experimentation professional ready to make a monumental impact? We are looking for a dynamic individual to take ownership of our day-to-day testing program. This is an incredible opportunity to build, execute, and refine a robust experimentation framework across diverse channels, including paid media, email/lifecycle, landing pages, onboarding flows, and creative assets. You will be the architect of insights, translating complex data into clear, actionable recommendations that directly fuel our growth initiatives and brand transformation.
This role is designed for a hands-on operator who thrives in a fast-paced environment. From day one, you'll dive into our existing testing infrastructure, swiftly auditing current experiments, identifying areas for improvement, and launching more rigorously instrumented tests. You'll be a central figure in our growth ecosystem, reporting to the Director of Growth & Lifecycle Marketing and collaborating closely with Paid Media, Lifecycle/CRM, SEO, Creative, Data & Analytics, Product, and Brand teams. Your work will not only optimize performance but also foster a data-driven culture of continuous learning and innovation.
This position is open at two levels, reflecting varying depths of experience and scope of responsibility. Whether you're a rising talent or a seasoned expert, your placement will be determined by your proven track record in testing platforms, analytical prowess, and demonstrated ownership of end-to-end experiments. The Senior level offers broader autonomy, higher expectations for statistical rigor, cross-channel synthesis, and mentorship opportunities.
If your daily passion involves designing, shipping, and interpreting experiments that move business metrics, we encourage you to apply. We value impact over titles, and your expertise in conversion rate optimization, growth marketing, or experimentation will be highly valued.
What You'll Own and Drive
  • **Testing Roadmap, Prioritization & Program Management:** Develop and maintain a dynamic testing roadmap and hypothesis backlog spanning paid media, email/lifecycle, landing pages, onboarding flows, monetization strategies, and creative assets. You will prioritize experiments using a clear framework, ensuring the highest-impact, highest-confidence initiatives run first.
  • **Transparent Communication & Velocity:** Provide weekly, up-to-date views of ongoing tests, key learnings, and upcoming experiments to the Director and channel owners. You will establish and maintain optimal testing velocity, ensuring a steady stream of concurrent, non-interfering experiments.
  • **Expert Test Design & Execution:** Design and launch robust A/B, multivariate, and, where appropriate, holdout and geo-based experiments. This includes meticulous attention to proper control groups, adequate sample sizes, and clearly pre-defined success metrics. You will personally set up and QA tests within various industry-standard experimentation platforms.
  • **Data Integrity & Metric Definition:** Partner closely with Data & Analytics and Engineering teams to ensure precise tracking, event instrumentation, and attribution prior to every launch. You will define primary, secondary, and crucial guardrail metrics for each test, articulated in plain, business-relevant terms.
  • **In-depth Analysis, Insights & Recommendations:** Conduct thorough analysis of test results utilizing analytics platforms, experimentation dashboards, and data warehouse cuts. You will skillfully distinguish between statistical significance and business significance, holding a high bar for both. For every completed test, you will deliver a structured recommendation-whether to ship, iterate, or kill-complete with clear rationale and the next experiment queued for deployment.
  • **Actionable Implementation:** Translate winning results into concrete, channel-specific actions: refining campaign strategies for Paid Media, optimizing flow logic for Lifecycle/CRM, collaborating with Product for landing page and onboarding updates, and providing creative direction to the Creative team.
  • **Stakeholder Communication:** Present complex findings to cross-functional stakeholders through clear, non-technical narratives that effectively connect test outcomes to broader business objectives.
  • **Cross-Channel Synthesis & Testing Culture:** Connect the dots across all channels, surfacing patterns from paid tests that inform lifecycle messaging and vice versa. You will build shared creative and messaging frameworks derived from comprehensive testing insights.
  • **Collaborative Alignment:** Partner with Paid Media, Lifecycle/CRM, SEO, and Content teams to align on learnings, coordinate overlapping tests, and prevent duplicate or conflicting work.
  • **Knowledge Management & Advocacy:** Maintain a simple, searchable repository of test results to ensure that learnings compound over time, rather than being re-learned. You will champion a robust test-and-learn culture through regular readouts, workshops, and the establishment of clear testing standards.

Must-Have Qualifications
  • Hands-on experience running A/B or multivariate tests in a marketing or growth context (paid, email, landing page, onboarding, or monetization strategies), with a preference for experience at a consumer subscription, marketplace, mobile-first, or social platform.
  • In-the-tool fluency with at least one industry-standard experimentation or A/B testing platform, with the ability to set up and QA tests independently.
  • A strong working understanding of experimental design principles, including control/treatment setup, sample sizing, statistical significance, and common validity threats (e.g., novelty, seasonality, SRM, interaction effects). You instinctively know when to call a test and when to let it run.
  • Robust analytical fluency, comfortable navigating analytics platforms, experimentation dashboards, and spreadsheet tools. You can pull your own data reads and critically evaluate analyses provided by data teams.
  • A proven ability to quickly audit an existing testing program, identify design flaws, and ship a better-instrumented experiment within your first week.
  • Exceptional written and verbal communication skills, capable of crafting crisp test briefs and presenting nuanced results to both technical and non-technical audiences with confidence.
  • Proficiency with AI tools in your daily workflow for tasks such as drafting test plans, generating variant copy and creative, analyzing results, and automating manual processes.
  • Demonstrated operator's discipline: consistently shipping on time, executing with tight QA, maintaining clean naming conventions, and thoroughly documenting every result.

Specific Experience by Level:
For the Experimentation Specialist:
  • 2 to 4 years of hands-on experience in conversion rate optimization, growth marketing, experimentation, or analytical marketing.
  • A practical track record of designing and shipping tests across at least one of the following: paid media, email/lifecycle, landing pages, or onboarding, with measurable results you can articulate.
  • Ownership of end-to-end execution across these channels, contributing to prioritization and testing-cadence discussions with the Director.

For the Senior Experimentation Specialist:
  • 5 to 8+ years of hands-on experience in conversion rate optimization, experimentation, or growth marketing, ideally including time at a consumer subscription business, direct-to-consumer brand, or mobile-first product.
  • A proven track record of running experiments across two or more channels (e.g., paid, lifecycle, landing pages, onboarding, monetization strategies, or in-product marketing), demonstrating measurable business impact.
  • Comfortable with SQL or direct data warehouse access to build audiences, validate segments, and conduct independent analysis, without relying solely on data teams for performance insights.
  • Ownership of both execution and strategic direction, setting testing standards, driving the roadmap, and confidently defending prioritization decisions to leadership.
  • A natural mentor, comfortable reviewing test designs, tracking hygiene, and results interpretation as the experimentation function scales.

Nice-to-Have Qualifications
  • Experience within a consumer subscription, marketplace, or social platform environment where activation, retention, and customer lifetime value are primary growth levers.
  • Familiarity with advanced statistical methods such as Bayesian methods, multi-armed bandit approaches, or adaptive experimentation, with a clear understanding of their appropriate application.
  • A background in behavioral economics or consumer psychology, providing deeper insights into user behavior for sharper hypothesis generation.
  • Experience contributing to a company-wide experimentation program, including governance, tooling, standards development, or team training initiatives.
  • Experience designing experiments specifically around AI-driven personalization or recommendation systems.
  • A Bachelor's degree in Marketing, Business, Statistics, Economics, Mathematics, Computer Science, or a related analytical field, or an equivalent track record of shipping rigorous tests.

About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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