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

APEX CLASS ACTION LLC

Data Analyst

Irvine, CA · On-site

$75K - $110K/yr

In this role, the Data Analyst works closely with Project Managers and Disbursement Specialists to ... Experience with relational databases and ability to comprehend moderately complex SQL logic.

PM2CM

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.

PM2CM

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.

FieldAI

Field Data Analyst

Irvine, CA · On-site

... 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 ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... 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 ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

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 ...

Turtle Rock Studios

Senior Data Analyst

Irvine, CA · On-site

$100K - $140K/yr

We're looking for a Senior Data Analyst to drive data-informed decision-making across our studio ... Strong SQL skills: querying, structuring schemas, tuning performance * Strong skills in the ...

FieldAI

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 ...

FieldAI

Field Data Analyst

Irvine, CA

$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 ...

FieldAI

Field Data Analyst

Irvine, CA

$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 ...

Turtle Rock Studios

Senior Data Analyst

Irvine, CA · On-site

$100K - $140K/yr

We're looking for a Senior Data Analyst to drive data-informed decision-making across our studio ... Strong SQL skills: querying, structuring schemas, tuning performance * Strong skills in the ...

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All JobsSql Data Analyst JobsSql Data Analyst Jobs in Riverside, CA

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 Jul 17, 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.

Can I get a job with SQL?

A job as an SQL Data Analyst is achievable with strong skills in SQL querying, data management, and analysis tools like Excel or Tableau. Employers often require relevant experience, certifications, or a degree in a related field, and proficiency in database systems such as MySQL, SQL Server, or PostgreSQL is essential.

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.

What does a SQL data analyst do?

A SQL data analyst uses SQL to extract, analyze, and interpret data from databases to support business decision-making. They create reports, identify trends, and ensure data accuracy, often working with tools like Excel, Tableau, or Power BI. Strong analytical skills and knowledge of database management are essential for this role.

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 paying?

SQL Data Analysts often earn competitive salaries due to their expertise in managing and analyzing large datasets using SQL. Salaries vary based on experience, location, and industry, but skilled analysts with certifications and knowledge of related tools like Excel or Tableau tend to have higher earning potential.

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 essential for performing data queries, creating reports, and supporting data-driven decision-making in many organizations.
More about Sql Data Analyst jobs
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Sql Data Analyst jobs near you
Data Analyst

Data Analyst

APEX CLASS ACTION LLC

Irvine, CA • On-site

$75K - $110K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

PLEASE DO NOT APPLY UNLESS YOU CURRENTLY LIVE IN CALIFORNIA, NEAR THE IRVINE AREA.

APPLICATIONS FROM CANDIDATES OUTSIDE THIS LOCATION WILL NOT BE CONSIDERED.

About us

Apex Class Action provides legal administration services to Plaintiff and Defense law firms across the nation. Our services include pre-settlement, settlement administration, and business process reengineering to improve efficiency and reduce administrative costs.

Job Type: Full-time

Salary: $75,000.00 - $110,000.00 per year

Work Location: Irvine, CA 92618 (In Office)

Job Summary

At Apex Class Action, LLC, the Data Analyst is responsible for collecting, standardizing, and reviewing all settlement-related data, ensuring compliance with legal and regulatory requirements and seamless integration with internal systems. In this role, the Data Analyst works closely with Project Managers and Disbursement Specialists to effectively manage class-member datasets, resolve data discrepancies, maintain stringent data-normalization standards, calculate class-member settlement awards, and support the administration of large settlements.

Job Responsibilities

The primary job responsibilities are as follows:

  • Standardize Settlement Data: Leverage advanced Excel (including VBA) and script-based techniques to query, transform, and standardize data from various corporate systems, systematically identifying and resolving discrepancies to ensure initial data accuracy. Regularly propose and test new solutions or tools to further improve data extraction and quality.
  • Consolidate Multiple Inputs: Merge different case-related data sources and formats into a master file, restructuring large or unstructured datasets into a coherent arrangement of columns and rows for easy interpretation. Ensure these consolidated datasets meet the requirements of the settlement agreements—enabling accurate settlement award calculations and tax assessments while supporting the mail team in executing efficient, successful mailings.
  • Validate Information: Cross-check critical identifiers (e.g., Social Security numbers or Class Member Addresses) with authoritative databases (e.g., NCOA search and skip tracing) and review case requirement specifications to identify and resolve any gaps or inconsistencies.
  • Cleanse and Refine Datasets: Identify duplicate or invalid entries, correct formatting issues, and address column misalignments to ensure accurate data for the entirety of the settlement administration processes.
  • Migrate Datasets to Internal Systems: Upload case datasets to the case management system using Power Automate and collaborate with our Director of Product Engineering to expand and enhance database functionalities.
  • Collaborate and Communicate Cross-Functionally: Interact professionally with internal teams, project managers, clients, and external stakeholders, delivering regular updates on progress, issues, and data requirements.
  • Track Project Metrics: Log time spent on case-specific tasks to measure Key Performance Indicators (KPIs) and other performance metrics, ensuring transparency and enabling precise reporting.
  • Uphold Professional Standards: Must be able to meet short deadlines, coordinate with team members to resolve data challenges proactively, and maintain a solutions-focused work ethic.
  • Maintain SOC2 Compliance: Ensure all data processes meet internal SOC 2 related policies, assist with data classification reviews, and contribute to organization-wide risk assessment reports to uphold stringent security policies.
  • Drive Continuous Improvement: Continuously evaluate and adopt the most effective tools and methodologies to optimize data handling processes, while proposing innovative solutions that enhance efficiency, accuracy, and overall quality.

Job Requirements

Qualifications and requirements for the Data Analyst role include, but are not limited to:

  • Expertise in large-scale or complex data analysis, employing advanced techniques to manage and interpret intricate data sets.
  • Proficient understanding of and experience with extract, transform load (ETL) concepts, tools, and practices.
  • Experience with relational databases and ability to comprehend moderately complex SQL logic.
  • Excellent verbal and written communication skills; Excellent analytical and organizational skills; Strong deductive reasoning.
  • Exceptional problem-solving skills, marked by the ability to diagnose challenges swiftly and devise innovative resolutions.
  • Ability to multi-task and work on separate projects in a fast-paced start-up company environment and extremely tight timelines
  • Ability to work independently with limited direction or as part of a team
  • Ability to work in an environment with immediate deadlines and shifting priorities.
  • Proficient with MS Office tools, particularly Dynamics and Excel.
  • Two to five years of relevant industry experience, accompanied by a proven history of delivering measurable results.

Benefits:

  • Health insurance
  • Paid sick time
  • Paid time off
  • Parental leave
  • 401k matching

Experience level:

  • 4 years

Schedule:

  • 8-hour shift
  • Monday to Friday