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Data Optimization Analyst Jobs (NOW HIRING)

Google

Finance Optimization Analyst

Sunnyvale, CA · On-site

Experience utilizing SQL to extract and manipulate complex data sets for financial reporting and ... About the job As a Finance Optimization Analyst for Data and Insights, you will be at the forefront ...

Ulta Beauty, Inc.

SEO & GEO Analyst 1

Bolingbrook, IL · On-site

Inspired applications of big data, AI and UI/UX. And creative that persuades and delights. All of ... The Content Optimization Analyst I is responsible for improving Ulta Beauty's discoverability ...

Ulta Beauty, Inc.

SEO & GEO Analyst 1

Bolingbrook, IL · On-site

Inspired applications of big data, AI and UI/UX. And creative that persuades and delights. All of ... The Content Optimization Analyst I is responsible for improving Ulta Beauty's discoverability ...

Brady

SEO Analyst

Milwaukee, WI · On-site

Brady Corporation is looking for a data-driven Organic Search Analyst to join our growing digital marketing team. This person will work closely with our SEO Manager to identify opportunities to ...

Paychex

Sr Search Engine Optimization Analyst

Allentown, PA · On-site

$78K - $122K/yr

Validates data accuracy and resolves any data integrity issues between 3rd party applications and ... Experience using a variety of SEO analytics tools, including Google Analytics, Yahoo/Bing Webmaster ...

Paychex

Sr Search Engine Optimization Analyst

Phoenix, AZ · On-site

$78K - $122K/yr

Validates data accuracy and resolves any data integrity issues between 3rd party applications and ... Experience using a variety of SEO analytics tools, including Google Analytics, Yahoo/Bing Webmaster ...

Paychex

Sr Search Engine Optimization Analyst

Tempe, AZ · On-site

$78K - $122K/yr

Validates data accuracy and resolves any data integrity issues between 3rd party applications and ... Experience using a variety of SEO analytics tools, including Google Analytics, Yahoo/Bing Webmaster ...

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Data Optimization Analyst information

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How much do data optimization analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data optimization analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Optimization Analyst, you need strong analytical abilities, expertise in data modeling, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Python, R, and optimization platforms like Tableau or Power BI, as well as certifications in data analytics, are commonly required. Exceptional problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies are crucial for transforming complex data into actionable business insights and driving process improvements.

Is 40 too late for data science?

A Data Optimization Analyst role requires strong analytical skills and familiarity with data tools, but age is not a barrier to entering data science or related fields. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new technologies are key factors for success regardless of age.

What is a data optimization analyst?

A data optimization analyst is a professional who analyzes data to improve business processes, efficiency, and decision-making. They use tools like SQL, Excel, and data visualization software to identify patterns and implement strategies that enhance data quality and performance.

What are Data Optimization Analysts?

Data Optimization Analysts are professionals who specialize in improving the efficiency and effectiveness of data processes within an organization. Their work involves analyzing large datasets, identifying areas for improvement, and implementing strategies to optimize data collection, storage, and usage. They use statistical tools and data modeling techniques to ensure data quality and support better decision-making. Data Optimization Analysts often collaborate with data engineers, business analysts, and IT teams to streamline workflows and maximize the value derived from data assets.

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

AspectData Optimization AnalystData Analyst
Primary FocusImproving data processes and optimizing data workflows for better efficiencyAnalyzing data to identify trends and generate reports
Skills & CertificationsData management, SQL, data modeling, problem-solvingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, business unitsBusiness, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, retailAlmost all industries including marketing, finance, healthcare

While both roles involve working with data, Data Optimization Analysts focus on enhancing data processes and workflows to improve efficiency, whereas Data Analysts primarily interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job search focus.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments in data analysis roles.

How does a Data Optimization Analyst typically collaborate with other departments to improve business outcomes?

A Data Optimization Analyst regularly works cross-functionally with teams such as marketing, operations, and IT to identify inefficiencies and recommend data-driven solutions. They gather requirements from stakeholders, analyze complex datasets, and present actionable insights that align with business goals. Effective communication and teamwork are essential, as analysts often need to translate technical findings into practical recommendations for non-technical colleagues. This collaborative approach ensures that data initiatives drive measurable improvements across different areas of the organization.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with experience and certifications. Overall, it is considered a well-paying role within the data field.
More about Data Optimization Analyst jobs
What states have the most Data Optimization Analyst jobs? States with the most job openings for Data Optimization Analyst jobs include:
What job categories do people searching Data Optimization Analyst jobs look for? The top searched job categories for Data Optimization Analyst jobs are:
Data Optimization Analyst jobs near you
Infographic showing various Data Optimization Analyst job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Finance Optimization Analyst

Google

Sunnyvale, CA • On-site

Full-time

Posted 6 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 188 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
  • 7 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.
  • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Preferred qualifications:
  • Experience automating and optimizing financial processes using a combination of technical, analytical and AI skills.
  • Experience utilizing SQL to extract and manipulate complex data sets for financial reporting and analysis.
  • Experience in core FP&A responsibilities, forecast, close, financial reporting.
  • Experience with internal financial access tools.
  • Demonstrated ability to interact with technical and non-technical groups, spanning all organizational levels, and to agreements with ambiguity and grow in a rapidly changing environment.

About the job
As a Finance Optimization Analyst for Data and Insights, you will be at the forefront of shaping the future of financial data at Google. This is a high-impact role where you will leverage Cloud technology to architect a single source of truth (SSOT) data sets and implement sophisticated role-based access across the product lifecycle. By joining the Cloud Finance Data Stewardship team, you won't just manage data you will become a definitive subject matter expert, driving the insights that empower executive decision-making and fuel Google's financial innovation.
We are looking for a visionary professional who is deeply passionate about innovation and growth at the intersection of finance and technology. You are a natural problem-solver who enjoys deconstructing complex issues and architecting elegant, scalable solutions that transform how we operate. As a key driver of efficiency, you take immense pride in empowering the Finance organization through process optimization and insights. You are highly accountable and lead with ownership, ensuring that high-impact projects are executed with excellence and precision. In this role, you will find ample opportunities to expand your technical prowess, particularly in advancing your skills with AI and other technologies as you shape our data landscape.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $141000 - $206000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Drive cross-functional initiatives by partnering with stakeholders to architect and execute high-impact finance optimization projects, with a primary focus on establishing a Single Source of Truth (SSOT) for mission-critical Cloud cost and margin reporting.
  • Leverage AI and advanced SQL to interrogate financial datasets, pioneering automated data reconciliation and engineering sophisticated access models that empower Finance leadership with real-time, actionable insights.
  • Act as a Lead Data Steward within the Cloud Finance organization, defining the standards for data integrity and governing secure, streamlined access to the next generation of Finance-owned assets and integrations.
  • Influence executive decision-making by distilling complex technical optimization metrics into compelling narratives and reports for Google's executive leadership team.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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