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Data Analytics Supervisor Jobs in California (NOW HIRING)

This position supervises the work of two other employees, including Data Analysts, but does NOT involve any management (i.e., hiring, termination, discipline, compensation, or performance reviews ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Salary Range: $9,852.82 - $13,278.10 Monthly SUMMARY The Data & Analytics Unit is responsible for ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Salary Range: $9,852.82 - $13,278.10 Monthly SUMMARY The Data & Analytics Unit is responsible for ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

Data Scientist Supervisor

Alhambra, CA · On-site

$125 - $150/hr

Salary Range: $9,852.82 - $13,278.10 Monthly SUMMARY The Data & Analytics Unit is responsible for ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

As a Deal Analytics Supervisor, you will assist in project scoping and strategic planning, research ... You will design data integration workflows, execute various data and analytic techniques, and ...

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As a Deal Analytics Supervisor, you will assist in project scoping and strategic planning, research ... You will design data integration workflows, execute various data and analytic techniques, and ...

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Data Analytics Supervisor information

What does a data analytics supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

What are the key skills and qualifications needed to thrive as a data analytics supervisor?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a data analytics supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.

What is the difference between Data Analytics Supervisor vs Data Analyst?

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What is the role of a data analytics supervisor?

A data analytics supervisor oversees data analysis teams, manages data collection and interpretation, and ensures accurate reporting to support business decisions. They often use tools like SQL, Excel, and data visualization software, and require strong leadership and analytical skills. The role involves coordinating projects, maintaining data quality, and implementing best practices in data management.

What are popular job titles related to Data Analytics Supervisor jobs in California?

For Data Analytics Supervisor jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Analytics Supervisor jobs in California look for?

The top searched job categories for Data Analytics Supervisor jobs in California are:

What cities in California are hiring for Data Analytics Supervisor jobs?

Cities in California with the most Data Analytics Supervisor job openings:

Infographic showing various Data Analytics Supervisor job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution.

Manager of Data Analytics

Healy World

Westlake Village, CA • On-site

$200 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

Job Title

Manager of Data Analytics

Job Duties

Pray, Inc. dba Pray.com in Westlake Village, CA is seeking a Manager of Data Analytics to create and organize systems to store and secure data.

Job responsibilities and duties include:

  • Evaluate disparate data warehousing and extraction, transformation and loading (ETL) solutions to determine the best technology and solutions for the analysis needs of our business.
  • Analyze the sizing of data, volume of queries and frequency of data updates via ETL.
  • Design data warehouse and data pipelines ensuring data integrity between systems is maintained; deploying statistical controls that monitor data and metrics from internal and external systems to identify data integrity issues automatically.
  • Architect, build, and launch new data models that provide intuitive analytics to design, product and executives based on business processes and business requirements.
  • Leverage programming languages such as Python and others to connect to application programming interfaces (APIs) in order to facilitate and integrate data for analysis and modeling purposes.
  • Ensure connections to APIs have technical documentation in order to facilitate maintenance and updates to these connection.
  • Responsible for scaling, supporting, and executing on data analytics initiatives and support for analytical insights for business decisions.
  • Work closely with our engineering, product, and systems ops teams to ensure ongoing health of the company's data infrastructure as well as data governance support.

This position supervises the work of two other employees, including Data Analysts, but does NOT involve any management (i.e., hiring, termination, discipline, compensation, or performance reviews)

Minimum requirements

Bachelor’s degree in Computer Science, Computer Engineering, or any related IT or Engineering field of study plus at least five (5) years of post‑degree progressively responsible experience in any related positions in which the required experience was gained. Employer will accept a foreign degree.

Qualified applicants must have demonstrable proficiency, knowledge, skill, or experience with the following:

  • Demonstrated experience developing and maintaining data pipelines and data analytic systems.
  • Demonstrated experience modeling data analytics solutions for business decisions or client sales/support (reports, analysis, and dashboards).
  • Demonstrated experience integrating and managing data supply pipelines with current software infrastructure.
  • Demonstrated experience performing exploratory analysis on data to find issues or trends.
  • Demonstrated experience curating and annotating proprietary datasets.
  • Demonstrated experience building, evaluating, and supporting data analytics and machine learning models.

Employer offers standard Medical, dental, vision, 401k, life insurance and stock options.

Additional Information
  • Job Location: 4607 Lakeview Canyon Drive, Ste. 456, Westlake Village, CA 91361
  • Travel Information: No travel required. Work from home (WFH) benefit available
  • Must be legally authorized to work in the United States without sponsorship.
  • Salary: $203,000
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