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Analytics Manager Jobs in Azusa, CA (NOW HIRING)

Yield brings analyses and insights to people at all levels of the Paramount organization, but its ... The Yield Manager works with a diverse group within the company and has the opportunity to work on ...

Yield brings analyses and insights to people at all levels of the Paramount organization, but its ... The Yield Manager works with a diverse group within the company and has the opportunity to work on ...

Customer Analytics Manager Job Location: Anywhere in USA, Orange, CA, USA Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the Communications, Media ...

Customer Analytics Manager Job Location: Anywhere in USA, Los Angeles, California, United States Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the ...

They are seeking an experienced Data & Analytics Manager to oversee projects that drive better data-based decision making for clients, focusing on strategy, data management, reporting, and ...

They are seeking an experienced Data & Analytics Manager to oversee projects that drive better data-based decision making for clients, focusing on strategy, data management, reporting, and data ...

The Outbox AXS group is looking for a Manager of Digital Analytics to develop and evolve the process and reporting for web/mobile tracking and reporting. Additionally, this position will work with ...

The Outbox AXS group is looking for a Manager of Digital Analytics to develop and evolve the process and reporting for web/mobile tracking and reporting. Additionally, this position will work with ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

Showing results 21-40

Analytics Manager information

See Azusa, CA salary details

$65.6K

$127.5K

$182.1K

How much do analytics manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for analytics manager in Azusa, CA is $127,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $151,600.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

Is data analytics a high paying job?

Data analytics roles, including Analytics Managers, tend to offer high salaries compared to many other positions, especially with experience and advanced skills in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but generally, analytics managers earn above average salaries in the job market.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median salary of around $100,000 to $130,000 per year, depending on experience, industry, and location. Senior roles or those with specialized skills in data tools and leadership may earn higher compensation, often exceeding $150,000 annually.
What are the most commonly searched types of Analytics jobs in Azusa, CA? The most popular types of Analytics jobs in Azusa, CA are:
What job categories do people searching Analytics Manager jobs in Azusa, CA look for? The top searched job categories for Analytics Manager jobs in Azusa, CA are:
What cities near Azusa, CA are hiring for Analytics Manager jobs? Cities near Azusa, CA with the most Analytics Manager job openings:
Infographic showing various Analytics Manager job openings in Azusa, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $127,499 per year, or $61.3 per hour.

Deal Data Technology & Analytics, Manager

Pwc

Los Angeles, CA

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 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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