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Manager Of Data Analytics Jobs in California (NOW HIRING)

The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the use and quality of information to enhance on-field performance and player development.

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data strategy, working closely with Bay Collective (a part of the Sixth Street Family) as a part of our ...

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data strategy, working closely with Bay Collective (a part of the Sixth Street Family) as a part of our ...

Manager of Data and Analytics

Auburn, CA · On-site

$118K - $140K/yr

... are data management, analytics or reporting. * Minimum 2 years of hands-on experience with Power BI. Demonstrated ability to develop interactive dashboards and reports. * Minimum 2 years of ...

Manager of Data Science Location: Burbank Pay Rate: $67.31/hr Duration: 3-months What We Do/Project ... Turn analysis into clear, decision-ready storylines - visual and written - for non-technical ...

Partner with Analytics, Data Science, Product, Technology, and business stakeholders to translate ... * 2+ years of experience managing or formally leading data engineers. * Strong hands-on ...

Partner with Analytics, Data Science, Product, Technology, and business stakeholders to translate ... * 2+ years of experience managing or formally leading data engineers. * Strong hands-on ...

Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1.    Strong in ...

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Manager Of Data Analytics information

See California salary details

$30.6K

$95.9K

$169.7K

How much do manager of data analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager of data analytics in California is $95,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What does a manager of data analytics do?

A Manager of Data Analytics oversees a team responsible for collecting, analyzing, and interpreting large data sets to help organizations make informed business decisions. They develop data strategies, ensure data quality, and collaborate with other departments to identify opportunities for leveraging data-driven insights. Their role typically includes managing analytics projects, mentoring team members, and communicating findings to stakeholders in a clear and actionable manner.

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

To thrive as a Manager of Data Analytics, you need strong analytical abilities, expertise in data modeling, and a solid background in statistics or computer science, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms such as Python or R, along with experience in project management systems, is typically required. Excellent leadership, communication, and problem-solving skills help you effectively manage teams and convey insights to stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive business performance and innovation.

Is data analytics a high paying job?

Data analytics roles, including Manager of Data Analytics, tend to offer competitive salaries that are above average for many industries. Factors such as experience, certifications, and proficiency with tools like SQL and Python influence earning potential, which can increase with leadership responsibilities and advanced skills.

What are the typical challenges faced by a manager of data analytics when leading a diverse analytics team?

A Manager of Data Analytics often encounters challenges such as aligning team members with varying technical backgrounds, ensuring clear communication of complex data insights to non-technical stakeholders, and balancing multiple project priorities. Additionally, fostering a culture of continuous learning is essential due to the rapid evolution of analytics tools and methodologies. Successful managers address these challenges by promoting collaboration, setting clear expectations, and providing ongoing professional development opportunities.

What is the difference between Manager Of Data Analytics vs Data Analyst?

AspectManager Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often some management experienceBachelor's degree in related field; entry to mid-level role
Work EnvironmentLeads teams, manages projects, collaborates with senior managementAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed across industries to oversee analytics teams and strategiesCommonly employed to perform data analysis tasks within organizations

The main difference is that the Manager Of Data Analytics oversees analytics teams and strategies, requiring leadership skills and management experience, while Data Analysts focus on analyzing data and generating reports. The manager role involves higher-level responsibilities and team coordination, whereas data analysts execute specific data tasks to support business decisions.

What are the most commonly searched types of Of Data Analytics jobs in California? The most popular types of Of Data Analytics jobs in California are:
What cities in California are hiring for Manager Of Data Analytics jobs? Cities in California with the most Manager Of Data Analytics job openings:

Senior Manager of Data & Analytics Engineering

Kforce Technology Staffing

Morgan Hill, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Manager of Data & Analytics Engineering in Morgan Hill, CA. This is a great opportunity with one of our clients in this contract to hire role.
Summary:
We are seeking a Senior Manager of Data & Analytics Engineering to lead our data platform teams and power decision-making across the company. In this senior leadership position, you will own and evolve our end-to-end data platform-from ingestion and transformation to analytics layers that business teams rely on daily. You will oversee Data Engineering (infrastructure, pipelines, reliability) and Analytics Engineering (data models, metrics, self-serve tooling), while championing an AI-first approach to the way we build, operate, and innovate.
REQUIREMENTS:
* 7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams
* Deep expertise in the modern data stack-cloud data warehouses (Snowflake, BigQuery, or Databricks), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks
* Strong command of SQL and Python
* Hands-on experience integrating AI/LLM tooling into engineering workflows or data products
* Proven ability to define and execute a multi-year data platform strategy
* Strong stakeholder management, including executive presentations and translating technical concepts to non-technical audiences
* Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management
* Track record of delivering trusted, well-documented, and widely adopted data products
It would be great if you also had:
* Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. Atlan, Datahub), and data observability platforms
* Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing
* Exposure to data mesh or data product organizational models
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.