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Data Reporting Jobs in California (NOW HIRING)

Job #104030 Job Title: Sr. Data & Reporting Analyst Contract Duration: 6 months, possible extension Location: Santa Ana, CA Work Arrangement: Onsite Pay Range: $52 - $56/hr Summary The Sr. Data ...

Sr. Data & Reporting Analyst

Santa Ana, CA

$89K - $112K/yr

Report automation & design The Sr. Data & Reporting Analyst is responsible for all points of data mining, extraction, manipulation, analysis, and reporting. Accountable for developing and reporting ...

As an AV Safety Software Data Reporting Engineer, you will operationalize defined requirements through data-driven analyses, dashboards, and workflow automations. You will implement innovative ...

As an AV Safety Software Data Reporting Engineer, you will operationalize defined requirements through data-driven analyses, dashboards, and workflow automations. You will implement innovative ...

As an AV Safety Software Data Reporting Engineer, you will operationalize defined requirements through data-driven analyses, dashboards, and workflow automations. You will implement innovative ...

How You'll Make an Impact Dudek is seeking a meticulous Payroll Data & Reporting Specialist to enhance payroll operations through data analysis and effective data reporting. This role will focus on ...

How You'll Make an Impact Dudek is seeking a meticulous Payroll Data & Reporting Specialist to enhance payroll operations through data analysis and effective data reporting. This role will focus on ...

How You'll Make an Impact Dudek is seeking a meticulous Payroll Data & Reporting Specialist to enhance payroll operations through data analysis and effective data reporting. This role will focus on ...

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Data Reporting information

See California salary details

$11

$37

$68

How much do data reporting jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for data reporting in California is $37.54, according to ZipRecruiter salary data. Most workers in this role earn between $24.48 and $47.55 per hour, depending on experience, location, and employer.

What is data reporting?

Data reporting is the process of collecting, organizing, and presenting data in a structured format, such as charts, tables, or dashboards, to communicate key information and insights. Professionals in data reporting analyze raw data, identify trends, and create reports that help organizations make informed decisions. Their work often involves using specialized software tools to generate reports that are accurate, timely, and tailored to the needs of stakeholders.

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

To thrive as a Data Reporting professional, you need strong analytical skills, attention to detail, and proficiency in data interpretation, often supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), advanced Excel functions, and knowledge of SQL or similar database systems are typically required. Excellent communication, problem-solving, and time management skills help you convey insights clearly and meet deadlines. These competencies are essential for transforming raw data into actionable information that supports organizational decision-making.

What are some common challenges faced by professionals in Data Reporting roles, and how can they be addressed?

Professionals in Data Reporting often encounter challenges such as ensuring data accuracy, meeting tight deadlines, and communicating complex findings to non-technical stakeholders. Addressing these challenges typically involves establishing robust data validation processes, prioritizing tasks based on reporting deadlines, and developing strong data visualization and storytelling skills. Collaborating closely with data analysts, IT teams, and business units also helps ensure that reports are both accurate and actionable.

Is 40 too late for data science?

Data reporting roles in data science often value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in tools like SQL, Python, or R, along with relevant certifications, can help establish credibility regardless of age. Age should not be a barrier to entering data science or related roles if you develop the necessary skills and experience.

What is the difference between Data Reporting vs Data Analysis?

AspectData ReportingData Analysis
Primary FocusPresenting data in reports and dashboardsInterpreting data to find insights
Skills RequiredData visualization, reporting tools, basic SQLStatistical analysis, data mining, critical thinking
Work EnvironmentBusiness intelligence teams, reporting departmentsData science teams, analytics departments
CertificationsExcel, Tableau, Power BISQL, Python, R certifications

While Data Reporting focuses on creating clear, accessible reports for decision-makers, Data Analysis involves exploring data to uncover trends and insights. Both roles require familiarity with data tools, but Data Analysis demands deeper statistical and analytical skills. Organizations often use both roles together to support data-driven decision-making.

What jobs make $1,000,000 a year?

In data reporting, high-level roles such as Chief Data Officer or Data Analytics Director can reach or exceed $1,000,000 annually, especially in large corporations or with performance bonuses. These positions typically require extensive experience, advanced skills in data management and analytics tools, and often involve leadership responsibilities. Most data reporting roles at this level are part of executive teams with compensation packages that include salary, bonuses, and stock options.

Will AI replace data analyst?

AI is transforming data analysis by automating routine tasks and enhancing data processing capabilities, but it is unlikely to fully replace data analysts. Analysts' skills in interpreting insights, understanding business context, and communicating findings remain essential, and they will increasingly work alongside AI tools to improve decision-making.

What is a data reporting job?

A data reporting job involves collecting, analyzing, and presenting data to support business decision-making. Professionals in this role often use tools like Excel, SQL, or data visualization software to create reports and dashboards that communicate insights clearly and efficiently.
What job categories do people searching Data Reporting jobs in California look for? The top searched job categories for Data Reporting jobs in California are:
What cities in California are hiring for Data Reporting jobs? Cities in California with the most Data Reporting job openings:
Infographic showing various Data Reporting job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,091 per year, or $37.5 per hour.
Data Analyst - Data & Reporting

Data Analyst - Data & Reporting

Noblesoft Technologies

Cupertino, CA • On-site

Contractor

Posted 6 days ago


Job description

Role - Data Analyst - Data & Reporting
Location - Cupertino, CA / Austin, TX.
 
Experience Requirements:
•                    8+ years in data analytics, business analysis, or data management.
Skills Requirements:
•                    8–12 years of experience in data analytics, business analysis, or data management.
•                    Proficiency in SQL (PostgreSQL, Snowflake, Redshift), Python (Pandas, NumPy), Tableau for visualization, Git / Bitbucket for version control, JIRA / Confluence for project tracking and documentation
•                    Advanced SQL expertise for querying and optimizing large datasets.
•                    Proficiency in Python (Pandas, NumPy) for data analysis and feature engineering.
•                    Experience with Tableau or similar BI tools for visualization and storytelling.
•                    Strong understanding of data architecture, governance, MDM, and lineage.
•                    Proven ability to identify and scope data use cases and convert insights into recommendations.
•                    Excellent analytical thinking, stakeholder management, and communication skills.
•                    Experience with Snowflake, Databricks, or Hadoop/Spark environments.
•                    Familiarity with data catalog/governance tools (Collibra, Alation).
•                    Exposure to D&B data hierarchy or similar reference data systems.