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Exempt Data Analyst Jobs in California (NOW HIRING)

Centraprise

Data Analyst

Santa Clara, CA · On-site

Qualifications Experience in a Data Analyst, Business Intelligence, or similar quantitative role ... exempt from disclosure under applicable law. If you are not the intended recipient, be advised that ...

ALO

Senior Data Analyst

Beverly Hills, CA

$140K - $160K/yr

OVERVIEW We are seeking a Senior Data Analyst with experience in retail and a passion for data ... exempt position. Please note that actual salaries will vary based on factors including but not ...

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

OVERVIEW We are seeking a Senior Data Analyst with experience in retail and a passion for data ... exempt position. Please note that actual salaries will vary based on factors including but not ...

True Mission HR

Data Analyst (part-time)

Orange, CA

$35 - $38/hr

Position Summary: The Data Analyst serves a key role within the administration of programs ... Non-exempt (hourly) * Pay rate: $35-$38 / hour Mariposa Women and Family Center is an equal ...

SolluCIO Partners

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Exempt Position Summary Serve as a strategic partner across the business, leading analytical initiatives that drive operational excellence, improve member outcomes, and support data-informed decision ...

Brookfield

Technical Data Analyst

Los Angeles, CA

Exempt Location: In-Office Must be a US Citizen or Green Card Holder to be considered. Summary: We are looking for a highly capable Technical Data Analyst to join our Claims Operations Compliance and ...

Eaton

SAP Data Analyst

Santa Ana, CA · On-site

$71K - $105K/yr

You will monitor and analyze all data and related KPIs, provide feedback and direction to shop ... Active Duty Military Service member candidates are exempt from the geographical area. * Eaton will ...

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All JobsExempt Data Analyst JobsExempt Data Analyst Jobs in California

Exempt Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do exempt data analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for exempt data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What jobs are H1B cap exempt?

H1B cap-exempt jobs include positions at institutions of higher education, nonprofit research organizations, and government research agencies. Data analysts working in these settings may qualify for cap exemption if the employer qualifies under these categories and the role involves specialized skills such as data interpretation, statistical analysis, and proficiency with tools like SQL or Python.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, making strategic decisions, and applying domain knowledge, which AI cannot fully replicate. The profession is evolving to include skills in AI tools and advanced analytics, but human expertise remains critical.

What are Exempt Data Analysts?

Exempt Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions, and who are classified as 'exempt' under the Fair Labor Standards Act (FLSA). This means they are typically salaried employees who are not eligible for overtime pay due to the nature of their analytical, specialized, or supervisory duties. Exempt Data Analysts often work in industries such as finance, healthcare, and technology, using statistical tools and software to interpret data trends and provide actionable insights. Their role may also involve data visualization, reporting, and collaborating with other departments to support business objectives.

How does an Exempt Data Analyst typically collaborate with other departments to drive business decisions?

Exempt Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, and operations to interpret complex data and translate findings into actionable insights. They are often involved in meetings to discuss business goals and present data-driven recommendations, ensuring that stakeholders understand trends and opportunities. Collaboration may include developing dashboards, sharing reports, and advising on data collection strategies to support organizational objectives. This role requires strong communication skills and the ability to tailor technical information for non-technical audiences.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data scientists, operations analysts, and financial analysts. Each type focuses on different areas such as business processes, advanced statistical modeling, operational efficiency, or financial data, often requiring specific skills and tools like SQL, Excel, or statistical software. Understanding these types helps in aligning skills and certifications with job roles in data analysis.

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

To thrive as an Exempt Data Analyst, you need strong analytical abilities, proficiency in statistical methods, and a relevant degree in fields like mathematics, statistics, computer science, or economics. Experience with data analysis tools such as SQL, Python, R, Excel, and visualization platforms like Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills are vital for transforming complex data into strategic recommendations that drive organizational success.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming an exempt data analyst, as the role values skills such as data analysis, proficiency in tools like Excel or SQL, and relevant certifications. Many professionals successfully transition into data analysis later in their careers, and employers often prioritize experience and skills over age. Continuous learning and staying current with industry tools can enhance job prospects regardless of age.
What are the most commonly searched types of Data Analyst jobs in California? The most popular types of Data Analyst jobs in California are:
What are popular job titles related to Exempt Data Analyst jobs in California? For Exempt Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Exempt Data Analyst jobs in California look for? The top searched job categories for Exempt Data Analyst jobs in California are:
What cities in California are hiring for Exempt Data Analyst jobs? Cities in California with the most Exempt Data Analyst job openings:
Exempt Data Analyst jobs near you
Data Analyst

Data Analyst

Centraprise

Santa Clara, CA • On-site

Full-time

Re-posted 25 days ago

Job description

• Analyze complex datasets (creative, targeting, performance, user experience) to refine criteria.
• Develop, propose, and justify new metrics for ad relevance, quality, and user satisfaction, incorporating rater feedback.
• Conduct data quality assessment on labeled sets to identify biases and refine the framework/training.
• Collaborate with Data Science/Engineering to prototype, validate, and launch new rating components impacting ML models.
• Data Analysis & Insights Analyze rating data and platform metrics to find trends, anomalies, and drivers of ad relevance/engagement.
Qualifications
Experience in a Data Analyst, Business Intelligence, or similar quantitative role.
Strong focus on advertising data, AdTech, or digital media content evaluation. Expert proficiency in SQL for complex data extraction, manipulation, and performance optimization.
Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib/Seaborn).
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