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Data Optimization Jobs in California (NOW HIRING)

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects * Successfully ...

SEO Analyst

La Mirada, CA · On-site

$81K - $108K/yr

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 ...

SEO Analyst

Culver City, CA · On-site

$76 - $91/hr

... search data interpretation. • Prepare weekly and quarterly SEO performance reports. • Conduct keyword research to identify optimization opportunities. • Maintain SEO tracking systems and ...

SEO Analyst

La Mirada, CA · On-site

$81K - $108K/yr

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 ...

Be Seen First

If you're passionate about data-driven SEO strategies and thrive in a collaborative environment, we want to hear from you! What You'll Be Doing * Monitor & Analyze Website Performance: Utilize tools ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

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 are popular job titles related to Data Optimization jobs in California? For Data Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in California look for? The top searched job categories for Data Optimization jobs in California are:
What cities in California are hiring for Data Optimization jobs? Cities in California with the most Data Optimization job openings:
Infographic showing various Data Optimization job openings in California as of June 2026, with employment types broken down into 85% Full Time, and 15% Temporary. Highlights an 86% In-person, and 14% Remote job distribution.
Customer Success Architect

Customer Success Architect

Mixpanel

San Francisco, CA

Other

Posted 5 days ago


Job description

About the Customer Success Team

Mixpanel's Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer's business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value. You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer's organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer's Mixpanel investment.

About the Role

As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel including managing change during Mixpanel's rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics. For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities

  • Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes
  • Effectively communicate at all levels of the customer's organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
  • Own the customer's success with Mixpanel - documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
  • Own onboarding and data health for our strategic and high-value prospects/customers, including ongoing enhancements to their data quality and overall tech stack integration
  • Engage with customers' engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
  • Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
  • Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
  • Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues
  • Bridge the technical-business gap with your customers - working with high-level business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision
  • Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
  • Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

  • At least 3 years of experience as a Customer Success Manager, Solutions Architect, or similar role.
  • Experience consulting on defining and delivering ROI through new tool implementations
  • Experience working with VP-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
  • The ability to communicate with stakeholders at all levels of an organization - from talking with developers about the ins and outs of an API to talking to a CIO about organizational efficiency
  • Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
  • Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
  • Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
  • Familiar with analytics best practices across business segments and verticals
  • Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
  • Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
  • Excellent written, analytical, and communication skills
  • Strong process and/or project delivery discipline
  • Eager to learn new technologies and adapt to evolving customer needs

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