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Data Analytics Manager Jobs in Berkeley, CA (NOW HIRING)

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

Working in collaboration with statisticians, data managers, clinical team, CMOs, data vendors, IT, Reimbursement & Health Economics and QA, the Market Access Analytics Manager will provide market ...

Working in collaboration with statisticians, data managers, clinical team, CMOs, data vendors, IT, Reimbursement & Health Economics and QA, the Market Access Analytics Manager will provide market ...

Project Management Remuneration: Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the ...

Data Analytics Intern

Concord, CA · On-site

$60K - $70K/yr

... manage their orders, inventory, customers, and other related tasks while providing them with ... The ideal candidate will have 1-3 years experience in a prior data analytics role. This role will ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Ingest and manage data across Raw, Transformed, and Curated layers based on business and analytics requirements. * Build and maintain data pipelines using modern cloud data architectures, including ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Ingest and manage data across Raw, Transformed, and Curated layers based on business and analytics requirements. * Build and maintain data pipelines using modern cloud data architectures, including ...

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

... management, and savings tools to their small business users via a simple integration. Parafin takes ... About the Position We are looking for a Data Analytics Engineer to build and scale the data models ...

... management, and savings tools to their small business users via a simple integration. Parafin takes ... About the Position We are looking for a Data Analytics Engineer to build and scale the data models ...

Analyze customer behavior and performance data across Shopify, Google Analytics, Klaviyo, Amazon ... Partner with the Brand Marketing Manager and E-Commerce Manager to evaluate campaign effectiveness ...

Analyze customer behavior and performance data across Shopify, Google Analytics, Klaviyo, Amazon ... Partner with the Brand Marketing Manager and E-Commerce Manager to evaluate campaign effectiveness ...

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Showing results 1-20

Data Analytics Manager information

See Berkeley, CA salary details

$38K

$118.9K

$210.6K

How much do data analytics manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analytics manager in Berkeley, CA is $118,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $153,700.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Berkeley, CA? The most popular types of Data Analytics jobs in Berkeley, CA are:
What are popular job titles related to Data Analytics Manager jobs in Berkeley, CA? For Data Analytics Manager jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Berkeley, CA look for? The top searched job categories for Data Analytics Manager jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Data Analytics Manager jobs? Cities near Berkeley, CA with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Berkeley, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, 6% Hybrid, and 20% Remote job distribution, with an average salary of $118,948 per year, or $57.2 per hour.
Deal Data Technology & Analytics, Manager

Deal Data Technology & Analytics, Manager

Pwc

San Francisco, CA

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

24th of 73 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Manager

Job Description & Summary

The Opportunity
As a Deal Data Technology & Analytics Manager, you will play a pivotal role in helping organizations leverage technology and data to drive better Deal decisions and execute transactions more effectively. Within our Deals practice, you will be part of a team that originates, creates, executes, and realizes value from mergers, acquisitions, divestitures, and capital markets. Our team consists of creative professionals who are passionate about building technology-driven solutions and pushing the boundaries of innovation in Deals, embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of Deal-focused solutions.
As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
Responsibilities
- Leading data-driven initiatives to enhance decision-making in mergers and acquisitions
- Managing and guiding teams in the execution of complex data analysis and machine learning projects
- Utilizing advanced data analytics tools such as Alteryx, Power BI, and Tableau to develop insightful dashboards and reports
- Overseeing the integration and validation of data from multiple sources to support transaction services
- Developing and implementing data quality improvement plans to maintain data integrity and security
- Conducting exploratory data analysis to identify trends and opportunities for value creation
- Collaborating with stakeholders to understand business needs and translate them into actionable data solutions
- Coaching team members to develop their skills in data science and analytics
- Simplifying complex data insights into clear, concise recommendations for clients
- Upholding ethical standards and business conduct in all data-related activities
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing advanced skills in machine learning and predictive analytics
- Managing complex data projects with a focus on client outcomes
- Excelling in strategic planning and execution within data-driven environments
- Leading teams to deliver innovative solutions in analytics and technology

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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