1

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

AI Automation & Solutions Lead

Orange, CA ยท On-site +1

$140K - $150K/yr

Beyond AI tooling, you bring strong data analysis skills: you can turn raw data into actionable insight, build dashboards, and use quantitative findings to drive decisions. A robust background in AI ...

Kia's Big Data Analysis team leverages vast and diverse datasets to drive business improvements and ... The role contributes to developing new AI- and data-driven products, capabilities, and analytical ...

Kia's Big Data Analysis team leverages vast and diverse datasets to drive business improvements and ... The role contributes to developing new AI- and data-driven products, capabilities, and analytical ...

Kia's Big Data Analysis team leverages vast and diverse datasets to drive business improvements and ... The role contributes to developing new AI- and data-driven products, capabilities, and analytical ...

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 ...

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... Field AI is transforming how robots interact with the real world. We are building risk-aware ...

next page

Showing results 1-20

Ai Data Analytics information

See Riverside, CA salary details

$25

$57

$98

How much do ai data analytics jobs pay per hour?

As of Jun 10, 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 the average salary of a data analyst with AI?

The average salary of a data analyst with AI skills typically ranges from $70,000 to $100,000 annually, depending on experience, location, and industry. Professionals with expertise in machine learning, programming languages like Python, and data visualization tools tend to earn higher salaries.

Which 3 jobs will survive AI?

AI Data Analysts, data scientists, and machine learning engineers are likely to continue thriving as their roles involve complex analysis, model development, and interpretation that require human expertise. These jobs demand skills in statistics, programming, and critical thinking, making them less susceptible to automation. Continuous learning and proficiency with AI tools are essential for long-term job security in these fields.

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.

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 are the key skills and qualifications needed to thrive as an AI Data Analyst, and why are they important?

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.

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 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:
What cities near Riverside, CA are hiring for Ai Data Analytics jobs? Cities near Riverside, CA with the most Ai Data Analytics job openings:
AI Automation & Solutions Lead

AI Automation & Solutions Lead

The Arcticom Group

Orange, CA โ€ข On-site, Remote

$140K - $150K/yr

Full-time

Posted 4 days ago


Job description

The Arcticom Group is seeking an innovative AI Automation & Solutions Lead to join our dynamic team. This pivotal role is essential to our mission of harnessing cutting-edge technology to streamline operations and enhance service delivery. As an AI Automation & Solutions Lead, you will spearhead the development and implementation of AI-driven solutions that optimize workflows and drive efficiency across our projects, ensuring we remain at the forefront of the technology industry.
In this role, you will be responsible for leading cross-functional teams in the design and integration of AI solutions, analyzing business processes to identify automation opportunities, and collaborating with stakeholders to define project scopes and deliverables. Your expertise will guide the strategic direction of AI initiatives, from conceptualization to deployment, while continuously evaluating performance metrics and driving improvements. You will also mentor team members, fostering a culture of innovation and collaboration.
The ideal candidate is comfortable writing code - Python, JavaScript, or similar - to build automations, process data, and extend AI capabilities beyond off-the-shelf tools. You stay current with the rapidly evolving AI landscape and know how to get the most out of leading AI platforms and productivity tools, including AI-integrated applications for spreadsheets, document workflows, and desktop task automation. Beyond AI tooling, you bring strong data analysis skills: you can turn raw data into actionable insight, build dashboards, and use quantitative findings to drive decisions. A robust background in AI and automation technologies, combined with a proven track record managing complex projects, rounds out the profile. Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders will set you apart.
What makes this opportunity truly exciting is the chance to lead transformative projects that impact not only our organization but also the broader technology landscape. At The Arcticom Group, you will work alongside passionate professionals in a collaborative environment that fosters creativity and growth. If you are ready to make a significant impact in the realm of AI and automation, we invite you to apply and be part of our vision for the future.
Key Responsibilities
  • Lead development and deployment of AI-driven solutions using best-fit tools across the AI ecosystem (including leading LLMs, AI-integrated productivity apps, and automation platforms)
  • Write code - Python, JavaScript, or similar - to build custom automations, data pipelines, and integrations that extend AI capabilities beyond off-the-shelf solutions
  • Automate spreadsheet workflows, data cleansing, formula generation, and reporting using AI-integrated tools within Microsoft Excel and other productivity platforms
  • Orchestrate file management, task automation, and cross-application workflows using AI-powered desktop tools to improve team productivity
  • Drive data analysis initiatives: build dashboards, interpret datasets, and surface actionable insights to inform business decisions
  • Optimize workflows and business processes across projects through automation and AI tooling
  • Analyze business processes to identify automation opportunities and quantify potential impact
  • Collaborate with stakeholders to define project scopes, deliverables, and success metrics
  • Guide the strategic direction of AI initiatives from conceptualization through deployment
  • Mentor team members in AI tools, automation best practices, and data literacy
  • Evaluate performance metrics and continuously drive improvements
  • Foster a culture of innovation, experimentation, and data-driven decision-making
  • Manage complex, cross-functional projects successfully from kickoff to completion

Qualifications
  • Minimum 5 years of experience in AI, automation, or related technology roles
  • Coding proficiency in Python, JavaScript, or similar language - able to write scripts, automations, and lightweight applications independently
  • Hands-on experience with leading AI platforms and productivity tools; familiarity with AI-integrated applications for spreadsheets, document workflows, and desktop automation (e.g., Claude for Excel, Claude Cowork, Copilot, or equivalent)
  • Strong data analysis skills: ability to work with structured datasets, build reports or dashboards, and translate findings into business recommendations (experience with Excel, SQL, Python, or BI tools a plus)
  • Proven track record managing and delivering complex AI or automation projects
  • Robust background in AI and automation technologies and platforms
  • Exceptional problem-solving skills and analytical mindset
  • Ability to communicate technical concepts clearly to non-technical stakeholders
  • Bachelor's degree in a relevant field (Computer Science, Data Science, Engineering, or similar)
  • Certifications in AI, data analytics, project management, or relevant coding/development skills preferred
  • Experience working in collaborative, cross-functional team environments