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

Data Analytics Location: 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 ...

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 ...

1.โ€‚โ€‚โ€‚โ€‚Strong in advance SQL 2.โ€‚โ€‚โ€‚โ€‚Good at data analysis 3.โ€‚โ€‚โ€‚โ€‚Should be able to build BI dashboards using Tableau & Power BI 4.โ€‚โ€‚โ€‚โ€‚Candidate should be able to assist ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Drive experimentation and data-driven decision-making through testing and performance analysis ... Experience mentoring or managing analysts. Preferred Qualifications * MBA or Master's degree in a ...

We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Drive experimentation and data-driven decision-making through testing and performance analysis ... Experience mentoring or managing analysts. Preferred Qualifications * MBA orMaster'sdegree in a ...

A minimum of 15 years of progressive experience in data analytics, business intelligence, or a related field, with at least 4 years spent in a dedicated leadership or director-level role managing a ...

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Data Analytics Manager information

See Milpitas, CA salary details

$36.1K

$113.2K

$200.4K

How much do data analytics manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data analytics manager in Milpitas, CA is $113,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $146,300.00 per year, depending on experience, location, and employer.

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

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.

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 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.

What are the most commonly searched types of Data Analytics jobs in Milpitas, CA?

The most popular types of Data Analytics jobs in Milpitas, CA are:

What are popular job titles related to Data Analytics Manager jobs in Milpitas, CA?

For Data Analytics Manager jobs in Milpitas, CA, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Milpitas, CA look for?

The top searched job categories for Data Analytics Manager jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Data Analytics Manager jobs?

Cities near Milpitas, CA with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Milpitas, CA as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $113,210 per year, or $54.4 per hour.

88-50101857 Data Analytics Manager

F. Hoffmann-La Roche AG

San Jose, CA โ€ข On-site

$186K - $243K/yr

Full-time

Re-posted 16 days ago


Job description

The Position
Genentech USA, Inc. seeks a Data Analytics Manager at its South San Francisco, CA location.
Duties: In this individual contributor role, collaborate with stakeholders to research and understand markets and applications to business needs, key questions, and priorities, and ensure alignment with project objectives and analytic lead direction in a highly-matrixed organization. Perform custom analyses by applying appropriate analytic techniques to address business challenges. Contribute to continuous organizational improvement by sharing best practices, identifying opportunities for automation, and enhancing the efficiency and impact of analytic workflows. Play an active role in the adoption of analytical products by staying up to date on the product roadmap, participating in training, user testing (as needed), and providing constructive feedback to ensure products are integrated into workflows. Embed and integrate products into workflows and foster Data, Analytics, and AI's product-first culture. Effectively interact with and guide offshore teams to ensure alignment with project objectives and maintain high-quality deliverables. Actively contribute to the community of practice by sharing knowledge, participating in discussions, and supporting peers to enhance collective expertise and drive continuous improvement. Build proficiency in tailoring communication to specific audiences, communicating and influencing senior leaders and simplifying details for stakeholder buy-in. Demonstrates the ability to independently handle project tasks, and proactively seeks managerial guidance as needed. Proactively identifies risks and seeks manager input to drive positive project outcomes. Deliver impactful insights and analytics (depending on team alignment):
  • Market Research: Conduct qualitative and quantitative research with patients, caregivers, healthcare providers, and other stakeholders in the healthcare ecosystem to assess and improve the patient experience.
  • Forecasting: Generate revenue and supply forecasts, perform uncertainty analyses, and provide actionable insights to inform strategic business decisions.
  • Competitive Intelligence: Monitor and track the competitive landscape, assess competitive threats, and gather intelligence from key national and regional medical conferences to inform strategy and positioning.
  • Data Analytics: Analyze secondary and structured datasets to surface actionable insights that benefit customers and patients.
  • Access: Apply expertise in managed care to assess the impact of payer management, coverage, coding, pricing, contracting, and other reimbursement drivers, and work to remove barriers to Genentech therapies while improving the overall customer experience.
  • Digital Measurement: Design and conduct digital analytics and performance measurement to generate insights that inform strategy.

May telecommute up to 2 days per week.
Education and experience required: Bachelor's degree, or foreign equivalent, in Business Analytics, Data Science or related field and 2 years of experience as data analyst, data scientist, or related position
Special Requirements: Academic or Professional experience must include:
  • Pharma Data Analytics
  • Data Visualizations for Business Reporting and KPIs tracking
  • Statistical modeling and coding
  • Synthesizing complex analytical work into simple strategic narratives
  • Programming & Scripting Language for Claims & Sales data retrieval and processing
  • Data Science Algorithms Sales forecast, A/B test, hypothesis testing
  • Strategic operations, Analysis design, measurement planning

#LI-DNI #DNI #DE-DNI
The expected annual salary range for this position based on the primary location for this position of California is $186,240 to $243,900 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits (https://roche.ehr.com/default.ashx?CLASSNAME=splash)
Worksite: 1 DNA Way, South San Francisco, CA 94080
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.