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Ai Data Analytics Jobs in Riverside, CA (NOW HIRING)

Xe Careers

Revenue Data & Analytics Manager

Irvine, CA · On-site

$130K - $160K/yr

Description Revenue Data & Analytics Manager Location: Irvine, CA Reports to: Head of Revenue ... Shape how AI and agentic tooling extend the function's reporting and analytical capacity as those ...

Fujifilm

Director Data AI & Analytics

Irvine, CA · Hybrid

The Director Data, AI and Analytics will own the strategy, platforms, operating model, and outcomes for Data, AI, and Analytics across three FUJIFILM lifesciences businesses. In highly regulated GxP ...

Workiva

Spring 2027 Intern - Data Analytics

Pomona, CA · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

Spring 2027 Intern - Data Analytics

Pomona, CA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

Armaninollp

Data & AI Platform Engineer

Irvine, CA · On-site

$122K - $147K/yr

Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

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How much do ai data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai data analytics in Riverside, CA is $57.12, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $64.71 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What are popular job titles related to Ai Data Analytics jobs in Riverside, CA?

For Ai Data Analytics jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Riverside, CA look for?

The top searched job categories for Ai Data Analytics jobs in Riverside, CA are:

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Cities near Riverside, CA with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you

Revenue Data & Analytics Manager

Xe Careers

Irvine, CA • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Description
Revenue Data & Analytics Manager
Location: Irvine, CA
Reports to: Head of Revenue Operations
About the Role
Revenue Operations is a newly formed function at Xe as we scale our growth, owning how the business plans, measures, and drives performance: the planning process and revenue targets, the operating rhythm that holds teams accountable, and the metrics and analysis behind leadership decisions.
As Revenue Data & Analytics Manager, you'll own the analytical foundation for how Xe measures revenue performance: defining the metrics the business runs on, building the reporting layer executives rely on, and using data to shape GTM strategy, customer experience, and growth across the customer lifecycle. You'll have the opportunity to shape how this work gets done, from what gets measured to how the business understands its own performance.
It's a high-visibility seat combining strategic thinking and commercial judgment with technical depth. You'll partner across Marketing, Sales, Product, and BI, and work directly with senior leadership. We're looking for someone who thrives in a fast-moving environment, and who decides what should be measured, takes a position on what the numbers say, and follows through to what the business does about it.
What You'll Do
  • Define, document, and maintain the company's core performance metrics, including calculation logic and the treatment of edge cases, so that reporting and analytics across the business reconcile to a single source of truth
  • Define scalable data models that support evolving reporting and analytics needs, partnering with the BI team on the underlying data infrastructure
  • Own the executive dashboard and the revenue performance reporting layer used by the leadership team, and partner with cross-functional leaders to define functional dashboards
  • Build recurring revenue analytics across the customer lifecycle, covering acquisition, activation, product adoption, engagement, and retention
  • Diagnose revenue performance to surface risks and opportunities, and locate where in the business they sit
  • Partner with functional leaders to translate findings into an execution plan and track execution
  • Build the performance narrative that goes into monthly and quarterly leadership updates
  • Structure and answer the business's hardest commercial questions, from framing the problem to analysis to recommendations
  • Shape how AI and agentic tooling extend the function's reporting and analytical capacity as those capabilities mature

What You'll Bring
  • Bachelor's degree in Business Analytics, Finance, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
  • 5+ years in business analytics, business intelligence, or management consulting, with a track record of analysis that changed company decisions
  • Strong proficiency in SQL and data modelling, and at least one BI or visualization tool (e.g., Power BI, Tableau, Looker); experience with product analytics tools like Amplitude and CRM tools like HubSpot is a strong plus
  • Business fluency. You think in terms of revenue, retention, and unit economics, and have strong knowledge of revenue metrics across the customer lifecycle
  • Strategic thinker. You can translate a messy business question into the right analysis, and challenge the question when it isn't the right one
  • Ability to influence. You can hold cross-functional partners accountable to act on what the analysis shows, and to stay with it through delivery
  • Excellent written and verbal communication. You can frame analytical findings clearly and influence decision-making across cross-functional partners and senior leadership
  • Instinct for when a number looks wrong, and the persistence to find out why
  • Experience with AI tooling in analytical work and process automation, and a clear view of where it accelerates the job and where it can't be trusted
  • Comfort with a fast-paced environment. You move quickly, make decisions with incomplete information, and know when precision matters and when it doesn't

PERKS & BENEFITS
  • Medical, Dental & Vision Insurance
  • 401K Plan with Match
  • Employee Stock Purchase Plan
  • Paid Vacation / Sick Leave
  • Hybrid Work Schedule
  • Tuition Assistance
  • Growth Opportunities
  • Corporate gatherings, team bonding events, and much more!
  • Plumm Mental Health and Wellbeing
  • Volunteering day for a charity of your choice

Xe offers a competitive salary and benefits package. The reasonable estimated pay for this (Salary Exempt or Non-exempt hourly rate) role ranges from ($130,000 USD to $160,000 USD). Actual compensation is based upon factors such as the candidate's skills, qualifications, and experience. In addition, Xe offers comprehensive and inclusive employee benefits for this role including healthcare, dental and vision benefits, a 401(K) plan, Paid Vacation / Sick Leave and more.
We want Xe to be a great place to work and to ensure that our communities are represented across our workforce. A vital part of this is ensuring we are a truly inclusive organization that encourages diversity in all respects.
Xe is an Equal Employment Opportunity employer. All qualified applicants will be considered for employment regardless of age, national origin, race, color, disability, religion, sexual orientation, gender identity or expression, or any other characteristic protected under applicable law. We are committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] .
The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company's right to assign or reassign duties and responsibilities to this job as needed.

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