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Executive Data Analytics Jobs in Porter Ranch, CA

Capstone Energy+, Inc.

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Partner with Finance, Operations, Sales, and Executive Leadership to define KPIs, metrics, and ... Support forecasting and scenario modeling through advanced analytics to inform strategic and ...

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Executive Data Analytics information

See Porter Ranch, CA salary details

$27.2K

$96K

$188.9K

How much do executive data analytics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for executive data analytics in Porter Ranch, CA is $96,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $123,700.00 per year, depending on experience, location, and employer.

What is an executive data analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.

What are the key skills and qualifications needed to thrive as an executive in data analytics?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

How does an executive data analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What is an executive data analytics?

Executive data analytics involves analyzing large datasets to support strategic decision-making at the leadership level. Professionals in this role use tools like SQL, Python, or Tableau to interpret data trends and present insights that inform business strategies. Strong analytical skills and experience with data visualization are essential for success in this position.

What cities near Porter Ranch, CA are hiring for Executive Data Analytics jobs?

Cities near Porter Ranch, CA with the most Executive Data Analytics job openings:

Executive Data Analytics jobs near you

Sr. Director of Data Analytics, Data Science & AI

ALO

Beverly Hills, CA

$250K - $320K/yr

Full-time

PTO

Re-posted 20 days ago

Job description

OVERVIEW

We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company-especially in marketing and digital and customer engagement. 

This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices. 

RESPONSIBILITIES  

  • Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy. 
  • Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics. 
  • Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence. 
  • Own digital analytics strategy-ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action. 
  • Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership. 
  • Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility. 
  • Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact. 
  • Tell compelling data stories-turning complex analyses and models into clear narratives that drive confident decisions at the executive level. 

QUALIFICATIONS

  • A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems. 
  • Comfortable operating at multiple altitudes-from board-level strategy to hands-on technical guidance. 
  • Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis. 
  • Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value. 
  • Adept at building teams, culture, and operating models that scale across functions and geographies. 
  • Pragmatic, impact-driven, and allergic to vanity metrics.  
  • 12+ years in analytics, data science, or AI, with significant leadership experience. 
  • Strong foundation in statistics, machine learning, and experimentation. 
  • Experience in retail, e-commerce, consumer products, or digital platforms. 
  • Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks. 
  • Proven track record of driving measurable outcomes through data and AI initiatives. 
  • Exposure to generative AI at scale and AI-enabled product development. 
  • Prior ownership of company-wide analytics standards or AI governance. 

The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company's total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

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