We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary:
We are seeking a Senior Decision Scientist with extensive hands-on experience with SEO to join our team. The ideal candidate will leverage data-driven insights to enhance our SEO strategy, improve website visibility, and drive organic traffic. You will collaborate closely with product management, engineering, and design to drive the development, prioritization, and planning of the product roadmap.
Key Focuses:
Descriptive Analysis:  Utilize descriptive analysis to uncover insights related to user behavior. Monitor and report on SEO performance metrics.
Keyword Research:  Conduct keyword research and competitive analysis to identify opportunities for optimization and SEO content creation.
Experimentation:  Design and analyze A/B tests to evaluate the impact of SEO initiatives on user engagement and conversion.
Data Visualization:  Create dashboards and visualizations to communicate findings and recommendations to stakeholders effectively.
Predictive Modeling:  Build models to forecast future SEO performance, identify trends, and inform content and marketing strategies.
Minimum Qualifications:
Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience).
4+ years of product analytics experience.
Minimum of 1 year of experience in SEO analytics.
Experience designing experiments, testing, and utilizing statistical principles to inform business decisions.
Proficient in statistical computing and scripting languages such as Python, R, SQL.
Preferred Qualifications:
Master’s or Ph.D. in a quantitative field such as mathematics, computer science, operations research, or economics.
In-depth knowledge and hands-on experience in various areas, including probability and statistics theory, causal inference, experimental design and analysis, synthetic control, product ecosystems, and Bayesian inference.
Experience in product analytics with a focus on user acquisition.
The US base salary range for this full-time position is $145,000-$177,500. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

#J-18808-Ljbffr

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: We are seeking a Senior Decision Scientist with extensive hands-on experience with SEO to join our team. The ideal candidate will leverage data-driven insights to enhance our SEO strategy, improve website visibility, and drive organic traffic. You will collaborate closely with product management, engineering, and design to drive the development, prioritization, and planning of the product roadmap. Key Focuses: <ol><li>Descriptive Analysis: Utilize descriptive analysis to uncover insights related to user behavior. Monitor and report on SEO performance metrics. </li><li>Keyword Research: Conduct keyword research and competitive analysis to identify opportunities for optimization and SEO content creation. </li><li>Experimentation: Design and analyze A/B tests to evaluate the impact of SEO initiatives on user engagement and conversion. </li><li>Data Visualization: Create dashboards and visualizations to communicate findings and recommendations to stakeholders effectively. </li><li>Predictive Modeling: Build models to forecast future SEO performance, identify trends, and inform content and marketing strategies. </li> </ol>Minimum Qualifications: <ul><li>Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience). 4+ years of product analytics experience. </li><li>Minimum of 1 year of experience in SEO analytics. </li><li>Experience designing experiments, testing, and utilizing statistical principles to inform business decisions. </li><li>Proficient in statistical computing and scripting languages such as Python, R, SQL. </li> </ul>Preferred Qualifications: <ul><li>Master’s or Ph.D. in a quantitative field such as mathematics, computer science, operations research, or economics. </li><li>In-depth knowledge and hands-on experience in various areas, including probability and statistics theory, causal inference, experimental design and analysis, synthetic control, product ecosystems, and Bayesian inference. </li><li>Experience in product analytics with a focus on user acquisition. </li> </ul>The US base salary range for this full-time position is $145,000-$177,500. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. #J-18808-Ljbffr

We offer a hybrid work environment. Most US-based positions can alsobeperformed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: We are seeking a Senior Decision Scientist with extensive hands-on experience with SEO to join our team. The ideal candidate will leverage data-driven insights to enhance our SEO strategy, improve website visibility, and drive organic traffic. You will collaborate closely with product management, engineering, and design to drive the development, prioritization, and planning of the product roadmap. Key Focuses: Descriptive Analysis: Utilize descriptive analysis to uncover insights related to user behavior. Monitor and report on SEO performance metrics. Keyword Research: Conduct keyword research and competitive analysis to identify opportunities for optimization and SEO content creation. Experimentation: Design and analyze A/B tests to evaluate the impact of SEO initiatives on user engagement and conversion. Data Visualization: Create dashboards and visualizations to communicate findings and recommendations to stakeholders effectively. Predictive Modeling: Building models to forecast future SEO performance, identify trends, and inform content and marketing strategies. Minimum Qualifications: <ul><li>Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience) 4+ years of product analytics experience</li><li>Minimum of 1 year of experience in SEO analytics</li><li>Experience designing experiments, testing, and utilizing statistical principles to inform business decisions</li><li>Proficient in statistical computing and scripting languages such as Python, R, SQL</li></ul> Preferred Qualifications: <ul><li>Master's or Ph.D. in a quantitative field such as mathematics, computer science, operations research, economics</li><li>In-depth knowledge and hands-on experience in various areas, including probability and statistics theory, causal inference, experimental design and analysis, synthetic control, product ecosystems, and Bayesian inference</li><li>Experience in product analytics with a focus on user acquisition</li></ul> #LI-Remote The US base salary range for this full-time position is $145,000-$177,500. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Recharge is positioned to support the best Direct-To-Consumer ecommerce brands in the world. We are building multiple AI-based analytic products that revolutionize how our merchants leverage insight to retain and grow their business.
We are looking for a Senior Product Analyst who is value driven and passionate about providing actionable insights and helping to create data products that our product and growth teams can leverage. As a product analyst, you will be working on both product analytics as well as advanced analytics projects, working closely with data engineering and product to deliver value to our merchants through analytics and insights.
You will be responsible for preparing data for prescriptive and predictive modeling, driving hypotheses, applying stats, and developing architecture for algorithms.
<h3>What you’ll do</h3>
<ul>
<li>Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).</li>
<li>Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.</li>
<li>Perform analysis utilizing relevant tools (e.g., SQL, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).</li>
<li>Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.</li>
<li>Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both analytical and product-specific expertise.</li>
<li>Work independently to find creative solutions to difficult problems.</li>
<li>Effectively communicate analyses and experimental outcomes to business stakeholders, ensuring insights are presented with clear business context and relevance.</li>
<li>Write and maintain technical documentation for the data models and analytics solutions.</li>
</ul>
<h3>What you'll bring</h3>
<ul>
<li>Bachelor's degree, or equivalent work experience, in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li>
<li>5+ years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).</li>
<li>Preferred experience in leveraging LLMs to address business challenges, and familiarity with frameworks such as Langchain.</li>
<li>Experience developing and operating within Snowflake.</li>
<li>Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact.</li>
<li>Preferred experience in dimensional modeling in dbt.</li>
<li>Experience working on advanced analytics models (machine learning or learning based models) that accomplish tasks such as making recommendations or scoring users.</li>
<li>Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner.</li>
<li>Consistently navigates ambiguous technical and business requirements while making flexible technical decisions.</li>
<li>Consistently delivers technically challenging tasks efficiently with quality, speed, and simplicity.</li>
<li>Payments and/or Ecommerce experience preferred.</li>
</ul>
<h3>Our Stack</h3>
Vertex AI, Google Colab, Looker, Dbt, Snowflake, Fivetran, CloudSQL/MySQL, Python (Pandas, NumPy, Scikit-learn), Gitlab, Jinja, Docker, and GCP.
#J-18808-Ljbffr

<h3>Job Description</h3><div>Job Description<div><div>Who we areIn a world where acquisition costs are skyrocketing, funding is scarce, and ecommerce merchants are forced to do more with less, the most innovative DTC brands understand that subscription strategy is business strategy.Recharge is simplifying retention and growth for innovative ecommerce brands. As the #1 subscription platform, Recharge is dedicated to empowering brands to easily set up and manage subscriptions, create dynamic experiences at every customer touchpoint, and continuously evaluate business performance. Powering everything from no-code customer portals, personalized offers, and dynamic bundles, Recharge helps merchants seamlessly manage, grow, and delight their subscribers while reducing operating costs and churn. Today, Recharge powers more than 20,000 merchants serving 100 million subscribers, including brands such as Blueland, Hello Bello, LOLA, Chamberlain Coffee, and Bobbie—Recharge doesn't just help you sell products, we help build buyer routines that last.Recharge is recognized on the Technology Fast 500, awarded by Deloitte, (3rd consecutive year) and is Great Place to Work Certified.</div>Recharge is positioned to support the best Direct-To-Consumer ecommerce brands in the world. We are building multiple AI-based analytic products that revolutionize how our merchants leverage insight to retain and grow their business. We are looking for a Senior Product Analyst who is value driven and passionate about providing actionable insights and helping to create data products that our product and growth teams can leverage. As a product analyst you will be working on both product analytics as well as advanced analytics projects working closely with data engineering and product to deliver value to our merchants through analytics and insights You will be responsible for preparing data for prescriptive and predictive modeling, driving hypotheses, applying stats, and developing architecture for algorithms. What you'll do<ul><li>Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).</li><li>Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.</li><li>Perform analysis utilizing relevant tools (e.g., SQL, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).</li><li>Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.</li><li>Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.</li><li>Work independently to find creative solutions to difficult problems.</li><li>Effectively communicate analyses and experimental outcomes to business stakeholders, ensuring insights are presented with clear business context and relevance.</li><li>Write and maintain technical documentation for the data models and analytics solutions. </li></ul>What you'll bring<ul><li>Bachelor's degree ,or equivalent work experience, in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>5+ years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) </li><li>Preferred experience in leveraging LLMs to address business challenges, and familiarity with frameworks such as Langchain.</li><li>Experience developing and operating within Snowflake</li><li>Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact</li><li>Preferred experience in dimensional modeling in dbt </li><li>Experience working on advanced analytics models (machine learning or learning based models) that accomplish tasks such as making recommendations or scoring users.</li><li>Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner</li><li>Consistently navigates ambiguous technical and business requirements while making flexible technical decisions</li><li>Consistently delivers technically challenging tasks efficiently with quality, speed, and simplicity</li><li>Payments and/or Ecommerce experience preferred</li></ul> Our StackVertex ai, Google Colab, Looker, Dbt, Snowflake, Fivetran, CloudSQL/MySQL, Python (Pandas, NumPy, Scikit-learn) , Gitlab, Jinja, Docker, and GCP<div>Recharge | Instagram | Twitter | FacebookRecharge Payments is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Recharge Payments prohibits any form of workplace harassment.Transparency in CoverageThis link leads to the Anthem Blue Cross machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes network negotiated rates for all items and services; allowed amounts for OON items, services and prescription drugs; and negotiated rates and historical prices for network prescription drugs (delayed). EIN 80-6245138. This link leads to the Kaiser machine-readable files.#LI-Remote</div></div></div>

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Product Analyst Jobs in Santa Monica, CA

Sr Product Analyst Seo Santa Monica CaDecember 14, 2024

Sr Product Analyst Seo New Santa Monica CaDecember 12, 2024

Sr Product Analyst SeoDecember 9, 2024

Senior Product AnalystDecember 8, 2024

Senior Product AnalystDecember 4, 2024