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Data Analysis Manager Jobs in California (NOW HIRING)

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Data Analytic Manager

Fresno, CA

$125K/yr

As a Data Analytic Manager, you will be responsible for the administrative and technical products ... AND - Communicating the status and results of data analysis activities and resource use through ...

cosm

Financial Planning & Analysis Manager

Los Angeles, CA · On-site

$105K - $140K/yr

This role will translate complex financial data into actionable insights--supporting forwardlooking decisionmaking while ensuring accurate reporting and strong financial controls. The FP&A Manager ...

cosm

Financial Planning & Analysis Manager

Los Angeles, CA · On-site

$105K - $140K/yr

This role will translate complex financial data into actionable insights--supporting forwardlooking decisionmaking while ensuring accurate reporting and strong financial controls. The FP&A Manager ...

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All JobsData Analysis JobsData Analysis Manager JobsData Analysis Manager Jobs in California

Data Analysis Manager information

See California salary details

$22.2K

$87.5K

$142.1K

How much do data analysis manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data analysis manager in California is $87,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $107,100.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in California?

The most popular types of Data Analysis jobs in California are:

What are popular job titles related to Data Analysis Manager jobs in California?

For Data Analysis Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in California look for?

The top searched job categories for Data Analysis Manager jobs in California are:

What cities in California are hiring for Data Analysis Manager jobs?

Cities in California with the most Data Analysis Manager job openings:

Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $87,503 per year, or $42.1 per hour.

Financial Analysis Manager

Swoon Technology Resources LLC

San Mateo, CA • On-site

$120K - $157K/yr

Full-time

Posted 10 days ago

Job description

Location: San Mateo,California
Expected Start Date: Sep 14, 2026
Financial Analysis Manager (Contract)
Location: San Mateo, CA
Schedule: Hybrid - 4 days onsite, 1 day remote
Contract: 6 months with potential for extension
W2 CANDIDATES ONLY!
We're partnering with a global technology organization to hire an experienced Financial Analysis Manager to provide temporary support to a Finance and Accounting team in San Mateo. This position will play an important role in analyzing revenue, margins, operational data, and financial performance while supporting month-end close and reporting activities.
The ideal candidate is a strong problem solver who enjoys working with large datasets, can identify trends and discrepancies, and is comfortable taking ownership in a fast-paced environment where priorities may shift.
What You'll Do
  • Evaluate revenue and margin results across business units and help support accurate financial reporting.
  • Assist with financial estimates, including reserves, partner/member payments, and other balance sheet items.
  • Support the revenue review process during monthly financial close.
  • Review high-volume revenue and COGS transaction data to identify inconsistencies, trends, and potential financial issues.
  • Work with cross-functional teams to investigate discrepancies and determine appropriate solutions.
  • Assess how operational data issues may affect financial reporting and downstream business processes.
  • Help develop monthly reporting and presentations for leadership, including key performance trends and business drivers.
  • Provide financial analysis and documentation for external audits and SOX compliance activities.
  • Identify opportunities to improve financial processes, reporting, and overall efficiency.

What We're Looking For
  • Bachelor's degree in Finance, Accounting, or a related discipline.
  • 5+ years of experience in FP&A, operational finance, accounting, or financial/data analysis, preferably within a public company.
  • Strong understanding of accounting principles and the month-end close process.
  • Demonstrated experience working with large transaction datasets and evaluating their financial impact.
  • Advanced Excel skills, including Pivot Tables, Lookups, and data manipulation.
  • Experience with enterprise-level ERP systems; Oracle experience strongly preferred.
  • Familiarity with Tableau; SQL experience is a plus.
  • Strong analytical and critical-thinking skills with the ability to turn complex information into clear recommendations.
  • Excellent communication skills and the ability to work effectively with stakeholders across different teams.
  • Ability to prioritize multiple deadlines and work independently in a dynamic environment.
  • A continuous improvement mindset with a willingness to identify and solve process challenges.

If you enjoy digging into financial data, solving complex problems, and partnering across teams to improve business processes, we'd love to hear from you!

Apply