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Analytics Director Jobs in Riverside, CA (NOW HIRING)

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

The Director will lead full-funnel attribution and unit economics analysis to optimize digital marketing ROI, improve conversion efficiency, and inform lifecycle strategy, prioritization, and ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

The Director will lead full-funnel attribution and unit economics analysis to optimize digital marketing ROI, improve conversion efficiency, and inform lifecycle strategy, prioritization, and ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

The Director will lead full-funnel attribution and unit economics analysis to optimize digital marketing ROI, improve conversion efficiency, and inform lifecycle strategy, prioritization, and ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

The Director will lead full-funnel attribution and unit economics analysis to optimize digital marketing ROI, improve conversion efficiency, and inform lifecycle strategy, prioritization, and ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

The Director will lead full-funnel attribution and unit economics analysis to optimize digital marketing ROI, improve conversion efficiency, and inform lifecycle strategy, prioritization, and ...

OCHS Inc.

Director Education Services

Santa Ana, CA · On-site

$147K - $163K/yr

Reporting & Analytics: Direct the collection and analysis of agency-wide education data. Present progress reports on Education Department goals and outcomes to the Board of Directors and Policy ...

Akumincorp

Sr. Financial Analyst

Irvine, CA · On-site

$91K - $114K/yr

As directed by the Financial Planning & Analysis Director provides research and analysis on other Company-wide initiatives, not region specific. Provides consolidated reports used by Executive ...

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Analytics Director information

See Riverside, CA salary details

$74.1K

$165K

$255.1K

How much do analytics director jobs pay per year?

As of Jun 9, 2026, the average yearly pay for analytics director in Riverside, CA is $164,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $187,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Analytics Director, and why are they important?

To thrive as an Analytics Director, you need strong analytical abilities, expertise in statistical methods, advanced data modeling, and typically a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and experience with big data systems are common requirements. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional projects and translate complex data into actionable insights for stakeholders. These skills and qualities are essential to effectively lead analytics teams, influence business decisions, and deliver measurable value to the organization.

What does an Analytics Director do?

An Analytics Director leads a team responsible for analyzing data to inform business decisions and strategies. They oversee the collection, interpretation, and communication of data insights across departments, ensuring data-driven decision-making. Their role often includes developing analytics frameworks, managing data teams, setting key performance indicators, and collaborating with leadership to align analytics initiatives with organizational goals. Additionally, Analytics Directors help implement data governance policies and ensure analytics tools and techniques are effectively utilized.

What are some common challenges faced by an Analytics Director and how can they be addressed?

Analytics Directors often encounter challenges such as aligning analytics initiatives with overall business goals, managing and integrating data from multiple sources, and communicating complex findings to non-technical stakeholders. To address these, it's important to foster close collaboration with business leaders, invest in scalable data infrastructure, and develop strong communication skills within the analytics team. Building a culture of data-driven decision-making and continuous learning also helps overcome these obstacles and ensures the analytics function delivers real value.

What is the difference between Analytics Director vs Data Scientist?

AspectAnalytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often prefers experience over certificationsBachelor's or Master's in Computer Science, Statistics, or related fields; may have certifications like Certified Analytics Professional
Work EnvironmentLeads analytics teams, collaborates with executives, oversees strategyAnalyzes data, builds models, and develops algorithms, often working independently or in small teams
Employer & Industry UsageCommon in corporate, finance, marketing, and consulting firmsFound in tech companies, research institutions, and data-driven industries

The Analytics Director focuses on leading analytics strategies and managing teams, while Data Scientists primarily analyze data and develop models. Both roles require strong analytical skills, but the Director has a broader leadership and strategic focus.

What Does an Analytics Director Do?

An analytics director oversees the data analytics and data warehousing departments at a company. As an analytics director, you take the lead on all data analytics systems and ensure your department aligns with the company’s priorities. You research and develop strategies to improve the analytics of your company. You collaborate with your team along with other members of your company’s senior leadership to influence data capabilities and competencies in the company. Your responsibilities include adopting appropriate tools and software to drive innovation. Other duties include staying informed on the latest industry trends in data analytics.

More about Analytics Director jobs
What are the most commonly searched types of Analytics jobs in Riverside, CA? The most popular types of Analytics jobs in Riverside, CA are:
What are popular job titles related to Analytics Director jobs in Riverside, CA? For Analytics Director jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Analytics Director jobs in Riverside, CA look for? The top searched job categories for Analytics Director jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Analytics Director jobs? Cities near Riverside, CA with the most Analytics Director job openings:
Analytics Director jobs near you
Infographic showing various Analytics Director job openings in Riverside, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $164,957 per year, or $79.3 per hour.

Associate Director, Analytics - Construction, California

Brillio

Irvine, CA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Role Brief:

We are seeking a highly versatile and client-facing Associate Director, Analytics to drive AI and analytics transformation initiatives for strategic clients in the construction and built-environment domain. This role blends the responsibilities of a product owner, analytics consultant, solution architect, and hands-on technology leader. 

The ideal candidate is someone who began their career as a strong hands-on engineer/coder and has evolved into a consulting-led leadership role capable of owning business outcomes, shaping AI products, engaging senior stakeholders, and leading cross-functional delivery teams. 

This individual will work at the intersection of AI/ML and analytics strategy, construction domain workflows and operational intelligence, product ownership and stakeholder management, data engineering and application architecture and full-stack AI solution delivery.  

The role requires both strategic thinking and technical depth, with the ability to translate ambiguous business problems into scalable AI-enabled products and platforms. 

Responsibilities:
  • Act as the primary AI/Analytics Product Owner for client engagements within the construction domain.
  • Partner with client business stakeholders to identify high-value AI, analytics, automation, and optimization opportunities.
  • Define product vision, roadmap, KPIs, feature prioritization, and release planning for AI-enabled platforms and solutions.
  • Drive discovery workshops, problem framing sessions, and use-case prioritization exercises.
  • Translate business problems into scalable data, analytics, and AI solution architectures.
  • Own stakeholder communication, executive reporting, and strategic advisory discussions.
  • Lead development of AI/ML-driven solutions involving Computer Vision, OCR/document intelligence, LLM and GenAI applications, Predictive analytics, Operational optimization, Recommendation systems
  • Define AI solution strategy, experimentation approach, evaluation metrics, and product ionization plans.
  • Guide teams on model selection, data strategy, feature engineering, and deployment approaches.
  • Establish scalable AI governance, monitoring, and feedback-loop mechanisms.
  • Provide technical leadership across: Data Engineering, Backend/API development, Full-stack application architecture, Cloud-native analytics platforms, BI and visualization ecosystems
  • Collaborate with engineering teams to design scalable architectures and integration patterns.
  • Review technical designs, APIs, pipelines, and engineering implementation approaches.
  • Ensure alignment between product vision and technical execution.
  • Act as a trusted advisor to client leadership teams.
  • Lead requirement discussions, solution walkthroughs, demos, and steering committee updates.
  • Drive cross-functional collaboration across business, data science, engineering, and UX teams.
  • Manage delivery governance, prioritization, risks, dependencies, and execution tracking.
  • Mentor teams and foster a strong engineering and innovation culture.
Requirements:
  • 10-15+ years of experience across analytics, AI/ML, data engineering, and enterprise application delivery.
  • Prior experience in consulting, analytics advisory, or client-facing transformation programs.
  • Strong experience acting as AI Product Owner, Analytics Lead, Solution Architect, Technical Program Lead.
  • Early career experience as a hands-on software engineer/developer is mandatory.
  • Experience working with construction, engineering, manufacturing, industrial, or built-environment clients is strongly preferred.
  • Knowledge of Analytics & AI.
  • Strong understanding of Machine Learning, Deep Learning, GenAI/LLM ecosystems, NLP and Computer Vision, Predictive analytics, Statistical modelling.
  • Experience with AI product lifecycle management and production AI systems.
  • Strong knowledge of Data pipelines and ETL/ELT, Data warehousing/Lakehouse architectures, Streaming and batch processing, SQL and distributed data processing
  • Experience with modern cloud data ecosystems.
  • Strong backend engineering foundation with experience inPython / Node.js / Java, REST APIs and microservices, Event-driven systems
  • Understanding of modern frontend and full-stack application architecture.
  • Ability to collaborate effectively with UX/UI and product engineering teams.
  • Experience with enterprise BI and reporting ecosystems.
  • Ability to drive executive dashboards, KPI frameworks, and operational analytics solutions.
  • Familiarity with Azure/ preferably GCP ecosystems.
  • Understanding of CI/CD, MLOps, containerization, and deployment strategies.
Desired Candidate Profile:
  • Combines consulting mindset with strong technical depth.
  • Can move seamlessly between business discussions and technical architecture conversations.
  • Has strong ownership, entrepreneurial mindset, and product thinking.
  • Is comfortable working in ambiguity and building 0-to-1 AI solutions.
  • Can challenge assumptions and influence executive stakeholders.
  • Has credibility with both engineering teams and business leaders.
  • Is hands-on enough to review code/designs while operating at leadership level.
  • Demonstrates strong communication, storytelling, and workshop facilitation skills.
 
Preferred Background:
  • Construction technology (ConTech)
  • Blueprint/document intelligence
  • Estimation or procurement analytics
  • BIM/CAD data workflows
  • AI-powered operational platforms
  • Industrial AI or field operations analytics
  • Digital transformation consulting
Education:
  • Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Analytics, or related field.
  • MBA or equivalent consulting/product management exposure is a plus.
Benefits:

Brillio offers a comprehensive benefits program for this position, subject to applicable eligibility requirements:

Medical, Dental, and Vision Insurance with multiple plan options
Health Savings Account (HSA) with Brillio employer contributions and Flexible Spending Accounts (FSA)
Company-paid Life Insurance and Accidental Death & Dismemberment (AD&D) coverage
Short-Term and Long-Term Disability coverage
401(k) retirement savings plan 
Flexible Paid Time Off (Flexi-PTO) and paid company holidays
Paid Parental Leave including maternity, parental bonding, adoption, and surrogacy benefits
Employee Assistance Program (EAP) and wellness resources
Learning and Development programs including training and certification support
Student Loan Contribution Program for eligible employees
Employee discount and wellness programs including fitness, lifestyle, and family support benefits
Backup care support for children, elder care, and pets
Additional voluntary benefits including legal services, accident coverage, critical illness coverage, and pet insurance  

$144,000 - $198,000 a year
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting and is location specific. Brillio reserves the right to modify this information at any time, based on applicable policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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