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Hourly Data Optimization Jobs in California (NOW HIRING)

Data Analysis and Insights : Conduct in-depth analysis of SEO data to identify trends ... Position Hiring Range The hiring pay range provides a good faith estimate of the salary or hourly ...

SEO Analyst

La Mirada, CA · On-site

$81K - $108K/yr

Data Analysis and Insights : Conduct in-depth analysis of SEO data to identify trends ... Position Hiring Range The hiring pay range provides a good faith estimate of the salary or hourly ...

We're Looking For A: SEO/AEO Intern Location: Hybrid (Woodland Hills, CA) Program Dates: * Start ... The base hourly range is $18 - $20 The posted hourly range in this job posting reflects data based ...

SEO/AEO Intern

Los Angeles, CA · On-site

$18 - $20/hr

We're Looking For A: SEO/AEO Intern Location: Hybrid (Woodland Hills, CA) Program Dates: * Start ... The base hourly range is $18 - $20 The posted hourly range in this job posting reflects data based ...

We're Looking For A: SEO/AEO Intern Location: Hybrid (Woodland Hills, CA) Program Dates: * Start ... The base hourly range is $18 - $20 The posted hourly range in this job posting reflects data based ...

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Model Development, Evaluation & Optimization * Data Visualization & Executive Presentations * Cloud ... The hourly rate for this position is between $100.00-$105.00 per hour. Factors which may affect ...

Data Analyst: I

San Diego, CA · On-site

$30 - $35/hr

San Diego, CA Salary: $30.00 USD Hourly - $35.00 USD Hourly Description: Data Analyst I Location ... Identify process gaps, user pain points, and opportunities for optimization. * Maintain ...

As a W-2 hourly employee, you will work under the direction of Introl project leadership and ... Support optimal performance and availability of deployed systems Technical Support ...

Data Center Technician

San Jose, CA · On-site

$30 - $36/hr

As a W-2 hourly employee, you will work under the direction of Introl project leadership and ... Support optimal performance and availability of deployed systems Technical Support ...

As a W-2 hourly employee, you will work under the direction of Introl project leadership and ... Support optimal performance and availability of deployed systems Technical Support ...

As a W-2 hourly employee, you will work under the direction of Introl project leadership and ... Support optimal performance and availability of deployed systems Technical Support ...

Data Engineer

Irvine, CA · Hybrid

$34.47 - $38.46/hr

Understanding of database performance tuning techniques, including indexing and query optimization ... Good communication and collaboration Salary Range: $34.47 to $38.46 hourly + bonus eligibility.

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Hourly Data Optimization information

What is an Hourly Data Optimization job?

An Hourly Data Optimization job involves analyzing and improving data processes on an hourly basis to ensure optimal performance and efficiency. Professionals in this role often monitor data flows, identify bottlenecks, and implement solutions to enhance data accuracy and speed. They may also use specialized software or algorithms to automate data optimization tasks and support business decision-making. This job is common in industries that rely on real-time data, such as e-commerce, logistics, and digital marketing.

Is 30 too late for data science?

Age is not a barrier to entering data science or related roles like hourly data optimization. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding data analysis tools. Many professionals transition into data roles at various ages, and employers value diverse backgrounds and ongoing education.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance system performance and decision-making. For example, a data analyst might clean and organize large datasets using tools like SQL or Excel to ensure accurate reporting and efficient data retrieval.

Is 40 too late for data science?

Age is not a strict barrier for data science roles, including hourly data optimization positions. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Success depends on your skills, experience, and ability to adapt to evolving technologies, not age alone.

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

To thrive as an Hourly Data Optimization Specialist, you need strong analytical abilities, proficiency in data management, and a background in mathematics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, and business intelligence platforms, along with certifications in data analysis or optimization, is often required. Attention to detail, problem-solving skills, and effective communication help professionals excel in interpreting data trends and collaborating with teams. These skills are crucial for driving continuous improvements and ensuring data-driven decisions that enhance organizational efficiency.

Do data entry jobs really pay?

Data entry jobs, including hourly positions, typically pay based on an hourly rate or per task completed. Wages can vary depending on experience, location, and the complexity of the work, with hourly rates often ranging from minimum wage to higher depending on skill level and employer.

What are some common challenges faced by professionals in Hourly Data Optimization, and how can they be addressed?

Professionals in Hourly Data Optimization often encounter challenges such as managing large volumes of real-time data, ensuring data accuracy, and quickly identifying actionable insights under tight deadlines. To address these, it is important to leverage automation tools, maintain clear documentation, and collaborate closely with data engineers and analysts. Regular communication with stakeholders also helps prioritize optimization tasks and align efforts with business goals, ensuring that improvements have a measurable impact.

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

AspectHourly Data OptimizationData Analyst
CredentialsTypically requires data management or analytics certificationsOften requires a degree in data science, statistics, or related fields
Work EnvironmentProject-based, often freelance or contract rolesFull-time, office or remote corporate setting
Industry UsageUsed in marketing, e-commerce, and digital advertisingCommon across finance, healthcare, and business intelligence
Search & Comparison IntentFocuses on optimizing data for specific tasks on an hourly basisAnalyzes data to generate insights and reports

Hourly Data Optimization involves short-term, task-specific data work often on an hourly basis, while Data Analysts typically handle broader data analysis projects within organizations. Both roles require analytical skills, but their scope and work environment differ significantly.

What are the most commonly searched types of Data Optimization jobs in California? The most popular types of Data Optimization jobs in California are:
What cities in California are hiring for Hourly Data Optimization jobs? Cities in California with the most Hourly Data Optimization job openings:
Infographic showing various Hourly Data Optimization job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
SEO Analyst

$81K - $108K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Living Spaces rating

7.2

Company rating: 7.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

18th of 60 rated furniture retailers


Job description

Position Summary The SEO Analyst will be primarily focused on reporting, analytics, and technical audits to drive data-driven SEO strategies for livingspaces.com. This role will collaborate closely with the in-house SEO team to implement optimization best practices and innovative ideas. The SEO Analyst will monitor search engine optimization (SEO) results, analyze website metrics, and support the development and implementation of comprehensive SEO strategies. These strategies will include data and technical analysis, on-page optimization, content gap analysis, internal linking, competitive research, and detailed reporting. The role requires strong experience in technical SEO auditing.Position Description

Essential Duties and Responsibilities include the following. Other duties may be assigned:

  • Performance Dashboards: Develop and manage performance dashboards using Adobe, Excel, Google Analytics, Botify, Google Data Studio, Big Query, and Tableau to report on key performance indicators (KPIs).
  • SEO Reporting and Automation: Build and automate complex SEO reports using tools such as Adobe, Excel, Botify, Smartsheet, Alteryx, Python, and SQL to drive SEO traffic growth.
  • Data Analysis and Insights: Conduct in-depth analysis of SEO data to identify trends, opportunities, and areas for improvement. Provide actionable insights to enhance SEO strategies and drive traffic growth.
  • Competitive Analysis: Build competitive analysis reports to discover opportunities for growing E-Commerce traffic and analyse SEO performance for large-scale websites with 1M+ monthly unique visitors.
  • Ad Hoc Reporting and Projects: Manage and execute ad hoc reports and projects as needed, ensuring timely and accurate data analysis.
  • Technical SEO Audits: Conduct technical SEO site and website architecture audits, including the management of no-index tags, redirects, robots.txt, CMS pages, and XML sitemaps to improve website performance. Strong experience in technical SEO auditing is required.
  • Keyword and Traffic Monitoring: Track and monitor organic traffic trends, and Search Engine algorithm updates.
  • SEO Admin Tool Management: Oversee the SEO Admin tool, including the management of automated interlinking, redirects, noindex tags, and content blocks.
  • Technical Ticket Writing: Utilize strong communication and project management skills to interpret data into actionable tasks and write detailed Jira technical tickets. Collaborate effectively with cross-functional teams to ensure successful implementation of SEO strategies.
  • Communication and Project Management: Utilize strong communication and project management skills to interpret data into actionable tasks and collaborate effectively with cross-functional teams.
  • Tool Proficiency: Demonstrate deep knowledge of Adobe, Google Big Query, and Google Analytics to enhance data analysis and reporting capabilities.
Qualifications

Education/Experience: Bachelor's degree (B. A. or B. S.) or equivalent from four-year college in business, mathematics, technical field, or related field. 5+ years of experience in E-Commerce Digital analytics role using Google Analytics, Google Cloud, Tableau platforms. Prior experience analyzing SEO reports for a large-scale, 1M+ monthly unique visitors. Solid understanding of website design/development. Strong project management skills to successfully interpret data into actionable tasks. Working knowledge of EpiServer CMS or any e-commerce CMS platforms.

Computer Skills: To perform this job successfully, an individual must have proficient experience in Microsoft 365 products. Must have strong Excel and data visualization skills. Advanced experience in SEO tools, such as Screaming Frog, Botify, DeepCrawl, SEMrush, Ahrefs, Google Search Console, Google Trends, STAT, Google Analytics, Alteryx, Tableau, and Jira is required. Must have advanced Botify or DeepCrawl website crawling/reporting experience. Basic proficiency with HTML and an understanding of JavaScript is necessary. Knowledge of Python and SQL programming languages is required. An equivalent combination of education and experience will be considered.

Certificates and Licenses: Google Analytics, Adobe and Botify certification are preferred.

Supervisory Responsibilities: This position does not have supervisory responsibilities.

Position Hiring Range

The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.

Compensation: $81,675.00 - $108,900.00

Overtime pay is available for eligible, non-exempt Team Members.Reimbursement for expenses as required by applicable law and Company policy.Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.

Additional available benefits upon meeting eligibility requirements include:

  • Medical (full-time only)

  • Dental (full-time only)

  • Vision (full-time only)

  • 401(k) with Company match (full and part-time)

  • Vacation (full-time only or as otherwise required by applicable law)

  • Paid Sick Leave (full and part-time)

  • Flex or Health Spending Account (for eligible full-time only)

  • Employee Assistance Program (full and part-time)

  • Holiday pay (full-time only)

  • Life insurance (full-time only)

For more details, please visit our website at: Careers (livingspaces.com)

Equal Opportunity Employer

It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

E-Verify

Living Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.

Applicant Privacy


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