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Sql Data Analyst Jobs in Riverside, CA (NOW HIRING)

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

... SQL, or similar data analysis tools • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) • Strong problem-solving ability and attention to detail Preferred ...

... SQL, or similar data analysis tools • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) • Strong problem-solving ability and attention to detail Preferred ...

Familiarity with SQL or other query languages. * Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with ...

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

... • Strong SQL and database query skills, with the ability to handle large datasets • ... in Data Analytics, Information Systems, or related technical discipline • 2-4 years of ...

Showing results 21-40

Sql Data Analyst information

See Riverside, CA salary details

$22.4K

$91.4K

$132.5K

How much do sql data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for sql data analyst in Riverside, CA is $91,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $104,300.00 per year, depending on experience, location, and employer.

What is an SQL data analyst?

An SQL Data Analyst is a professional who uses SQL (Structured Query Language) to extract, analyze, and interpret data stored in relational databases. They transform raw data into actionable insights by writing queries, creating reports, and visualizing trends to support business decision-making. SQL Data Analysts also help ensure data quality, optimize database performance, and collaborate with other teams to meet organizational goals.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often required for data analysis roles, alongside skills in data visualization and statistical tools.

What is the difference between Sql Data Analyst vs Data Engineer?

AspectSql Data AnalystData Engineer
Required SkillsSQL, data visualization, reportingSQL, programming, data pipeline development
CertificationsSQL certifications, data analysis coursesCloud certifications, programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData infrastructure teams, software engineering environments
Industry UsageFinance, marketing, healthcareTech, finance, large-scale data platforms

Sql Data Analysts focus on interpreting data, creating reports, and visualizations using SQL. Data Engineers build and maintain data pipelines and infrastructure to support data analysis. While both roles require SQL skills, Data Engineers typically have programming expertise and work on data architecture, whereas Sql Data Analysts concentrate on analyzing and presenting data insights.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Skills in SQL, data visualization, and critical thinking remain essential, as AI tools are used to augment rather than replace human judgment in data analysis.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the increasing reliance on data-driven decision making. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will SQL get me a job?

SQL Data Analysts are in high demand across various industries because of their ability to manage and analyze large datasets. Proficiency in SQL, along with skills in data visualization and understanding of databases, can improve job prospects and lead to roles in data analysis, business intelligence, and related fields.

What does an SQL data analyst do?

A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers. Your primary responsibilities revolve around creating these analysis reports, but SQL analytical skills are in demand in many different industries, so specific duties can vary. In many positions, you may be tasked with database upkeep as well, developing infrastructure that increases system efficiency. Regarding academic qualifications, this career requires a bachelor’s degree in either computer science, electrical engineering, information technology, or statistics. Most aspiring SQL analysts gain experience through internships while pursuing their degree.

What are the key skills and qualifications needed to thrive as a SQL data analyst, and why are they important?

To thrive as a SQL Data Analyst, a strong command of SQL, data modeling, and statistical analysis is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, as well as tools such as Excel, Tableau, or Power BI, is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Analytical thinking, attention to detail, and effective communication stand out as key soft skills for interpreting data and explaining results to stakeholders. These competencies enable accurate data-driven decision-making, efficient data management, and clear insights that support organizational goals.

How does a SQL data analyst typically collaborate with cross-functional teams to deliver insights?

As a SQL Data Analyst, collaboration with cross-functional teams such as product managers, engineers, and business stakeholders is a key part of the role. Analysts often gather requirements from these teams, translate business questions into data queries, and present actionable insights through reports or dashboards. Regular meetings and clear communication are essential to ensure that analysis aligns with business objectives and that results are understood and actionable. This collaborative approach not only improves data-driven decision-making but also provides analysts with valuable context, enhancing the impact of their work.

Is SQL high demand?

SQL is a highly in-demand skill for data analysts, as it is essential for managing and querying databases. Many organizations seek professionals proficient in SQL along with data visualization and analysis tools, making it a valuable skill for job seekers in data-related roles.

Do data analysts still use SQL?

Yes, data analysts still use SQL as it is a fundamental tool for querying and managing databases. Proficiency in SQL is often essential for extracting, analyzing, and reporting data efficiently in many organizations.
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Infographic showing various Sql Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 67% Full Time, 9% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $91,362 per year, or $43.9 per hour.

Data Analyst, Manufacturing

Anduril Industries

Santa Ana, CA • On-site

Full-time

Posted 7 days ago


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 74,941 frontline employees who took The Breakroom Quiz


Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Manufacturing Operations team is seeking a Production Data Analyst to join our team. The Manufacturing Operations team ensures the company's production processes run smoothly, efficiently, and are continuously improving to deliver cutting-edge defense capabilities. This team uses data-driven methodologies and advanced analytics to optimize production lines, improve manufacturing efficiency, and drive operational excellence. Reporting directly to Manufacturing Operations leadership, the team works cross-functionally across engineering, supply chain, and business operations to ensure factory processes meet and exceed world-class operational goals.
ABOUT THE ROLE
As a Data Analyst for the Manufacturing team at Anduril, you will be a key player in advancing the efficiency and effectiveness of Anduril's production operations. You will use your expertise in data analytics to dive deep into production metrics, operational workflows, and system performance to extract actionable insights. Your work will empower manufacturing teams to identify bottlenecks, improve quality, streamline production processes, and scale operations intelligently. Together with manufacturing leadership, you will ensure that production data can be leveraged to solve critical challenges, inform strategic decisions, and build the next generation of defense manufacturing capabilities.
WHAT YOU'LL DO
  • Use manufacturing/production and operational data to develop insights and solutions that optimize workflows, enhance productivity, and improve product quality in the manufacturing process.
  • Create advanced dashboards and analytics tools using visualization platforms (e.g., Tableau, Power BI) and programming languages (e.g., SQL, Python, etc.) to measure and communicate performance metrics, identify trends, and drive improvements.
  • Collaborate with cross-functional teams to align analytics solutions with production objectives and broader business goals.
  • Act as a primary liaison between manufacturing operations and other business units, including IT and engineering teams.
  • Contribute to the integration, improvement, and optimization of manufacturing systems, including MES, ERP, and WMS.
  • Support the creation of seamless data workflows between systems to drive reliability and efficiency.
  • Lead and facilitate Lean Manufacturing, Six Sigma, Kaizen, or other initiatives to drive production teams toward best-in-class operational standards.
  • Monitor equipment performance, identify downtime patterns, and work on predictive maintenance strategies to prevent disruptions.
  • Conduct in-depth analysis of resource utilization, production outputs, and process flows to diagnose performance issues and recommend solutions.
  • Develop, track, and refine manufacturing KPIs to measure performance, highlight inefficiencies, and ensure accountability across production operations.
  • Document production processes, analytics workflows, and best practices to provide a foundation for training and ongoing operational improvements.
  • Stay updated on emerging technologies and industry trends in manufacturing analytics, digital transformation, and advanced automation to identify innovations Al and advanced data applications.

REQUIRED QUALIFICATIONS
  • Bachelor's degree in Data Science, Manufacturing/Industrial Engineering, Computer Science, Software Engineering, Operations Management, or a related field. A Master's degree is preferred (e.g., MBA, MS in Engineering, or Data Science).
  • Minimum of 5 years of experience in a manufacturing, business intelligence, or data analytics role with a focus on production data.
  • Proven ability to develop actionable insights that drive observable efficiency, productivity, and quality improvements.
  • Advanced skills in data visualization and analytics tools, including Tableau, Power BI, Python, SQL, or similar platforms for reporting and dashboard creation.
  • Solid understanding of manufacturing systems (MES, ERP, WMS) and data integration with operational workflows.
  • Proficiency in data modeling, pattern identification, and advanced statistical analysis of production performance metrics.
  • Experience working with manufacturing/production teams to understand on-the-ground challenges and develop scalable solutions to address them.
  • Exceptional communication and stakeholder management skills for conveying complex data in actionable, meaningful ways.
  • Highly organized and capable of independently prioritizing tasks to meet deadlines in a fast-paced environment.
  • Ability to lead cross-functional initiatives toward continuous improvement and data-driven transformation.
  • Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

PREFERRED QUALIFICATIONS:
  • Hands-on experience implementing and scaling data insights for predictive maintenance or process control using AI, machine learning models, or digital twin systems.
  • Familiarity with predictive analytics platforms, tools, and strategies that enhance production performance.
  • Demonstrated knowledge of industrial controls, SCADA, MES, and related protocols like ISA-95 or OPC UA.
  • Advanced data and business intelligence certifications such as Power BI Expert, Tableau Professional, Six Sigma Black Belt, or similar credentials.
  • Successful track record of applying Lean, Six Sigma, or other process optimization methodologies within manufacturing environments.
  • Experience working in defense, aerospace, or similarly regulated manufacturing environments with strict quality and security standards.

US Salary Range
$112,000-$149,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
  • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
  • Please always verify communications:
    • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
    • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
  • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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