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Data Jobs in Rialto, CA (NOW HIRING)

OSTechnical

Master Data Manager

Anaheim, CA · On-site

$150K - $190K/yr

Master Data Manager (hands-on) Status: Exempt, Full-time Location: Anaheim, CA Work Schedule : Hybrid Position Summary: Lead the enterprise Master Data Management (MDM) function to ensure trusted ...

Maximus

Data Coordination Analyst

Pomona, CA

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Maximus

Data Coordination Analyst

Pomona, CA · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Data Scientist II On Site: Norco, CA Job Summary We are seeking a talented and driven mid-level Data Scientist to join our evolving and dynamic team. In this role, you will apply advanced data ...

twenty80.io

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

The Data Engineer will lead the development of data pipelines, transformation logic, and data architecture while ensuring solutions are secure, efficient, and aligned with organizational standards.

PM2CM

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various ...

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All JobsData JobsData Jobs in Rialto, CA

Data information

See Rialto, CA salary details

$46.1K

$165.5K

$244.2K

How much do data jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data in Rialto, CA is $165,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,900.00 and $170,500.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Rialto, CA? The most popular types of Data jobs in Rialto, CA are:
What job categories do people searching Data jobs in Rialto, CA look for? The top searched job categories for Data jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Data jobs? Cities near Rialto, CA with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Rialto, CA as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,476 per year, or $79.6 per hour.
Master Data Manager

Master Data Manager

OSTechnical

Anaheim, CA • On-site

$150K - $190K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 14 days ago

Job description

                                                    

Job Title: Master Data Manager (hands-on)

Status: Exempt, Full-time

Location: Anaheim, CA

Work Schedule: Hybrid


Position Summary: Lead the enterprise Master Data Management (MDM) function to ensure trusted, governed, and business-aligned data across ERP, MES, PLM, CRM, and supporting systems. This role is accountable for enabling operational efficiency, supply chain accuracy, financial integrity, and regulatory compliance through high-quality master data.


Responsibilities:

  • Define and operationalize enterprise data governance framework
  • Establish and lead data stewardship council across business functions
  • Assign and enforce data ownership and accountability by domain
  • Develop and maintain data dictionaries, standards, and business rules
  • Ensure alignment between IT governance and business process ownership
  • Own and continuously improve data quality KPIs (accuracy, completeness, consistency, timeliness)
  • Implement data profiling, monitoring, and remediation processes
  • Lead root cause analysis for recurring data issues
  • Own selection, implementation, and optimization of MDM platforms/tools
  • Define system-of-record architecture across ERP, MES, CRM
  • Ensure synchronization and integrity of master data across systems
  • Support ERP/MES upgrades and transformations with strong data governance
  • Partner with business leaders to embed data accountability into operations
  • Lead remediation of audit findings related to master data
  • Reduce operational and financial risk caused by data errors
  • Define and publish enterprise data quality dashboards
  • Partner with BI/analytics teams to improve reporting accuracy


Experience

  • 7–10+ years in Master Data Management, Data Governance, or Data Stewardship
  • Strong experience in manufacturing environments
  • Deep expertise in ERP systems (e.g., SAP, Oracle, Infor, Epicor)
  • Experience integrating ERP with MES, PLM, and CRM systems


Technical Skills

  • SQL and data analysis tools
  • Experience with MDM platforms (e.g., Informatica, IBM, SAP MDG, Profisee, etc.)
  • Data quality tools and profiling techniques
  • Understanding of data architecture and system integration


Nice-to-Have

  • Experience supporting ERP transformations or carve-outs
  • Certification in Data Management (e.g., DAMA CDMP)