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Data Analytics Project Manager Jobs in California

3M HEALTHCARE

Data / Information Manager

San Diego, CA · On-site

Provide related data analysis for project support services; program integration services; and project close-out services. * Advise management. * Schedule and conduct coordination meetings to enable ...

City National Bank

Data Analytics Manager

Los Angeles, CA

$122K - $208K/yr

DATA ANALYTICS MANAGER Los Angeles, CA WHAT IS THE OPPORTUNITY? The Data Analytics Manager leads a ... Allocate work priorities and ensure timely delivery of analytics projects * Complies fully with all ...

City National Bank

Data Analytics Manager

Los Angeles, CA · On-site

$122K - $208K/yr

DATA ANALYTICS MANAGER Los Angeles, CA WHAT IS THE OPPORTUNITY? The Data Analytics Manager leads a ... Allocate work priorities and ensure timely delivery of analytics projects * Complies fully with all ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site

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 ...

Amplytics Inc.

Data Analytics Consultant

San Francisco, CA · On-site

$90K - $135K/yr

In this role, you will manage complex data analysis projects using Microsoft Power BI. This role requires both technical excellence and strong business acumen to deliver impactful insights that drive ...

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Data Analytics Project Manager information

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How much do data analytics project manager jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data analytics project manager in California is $56.75, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $66.44 per hour, depending on experience, location, and employer.

What is a data analytics project manager?

A Data Analytics Project Manager oversees data-driven projects, ensuring they align with business goals and are completed on time and within budget. They collaborate with data analysts, engineers, and stakeholders to define project requirements, manage resources, and monitor progress. Their role involves coordinating data collection, analysis, and visualization to support strategic decision-making. Strong project management, communication, and analytical skills are essential for success in this role.

What does a data analytics project manager do?

A Data Analytics Project Manager is responsible for overseeing the end-to-end lifecycle of analytics projects, including defining project scope, setting timelines, and managing resources. On a daily basis, you may coordinate with data analysts, data engineers, and business stakeholders to ensure requirements are clear and progress is on track. You will likely review deliverables, address roadblocks, and adjust plans as needed while ensuring that the team is aligned with business objectives. Regular communication and reporting to upper management or clients is also a key part of the role.

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

To excel as a Data Analytics Project Manager, you need a solid background in data analysis, project management methodologies (such as Agile or Waterfall), and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, Tableau, and project management software (such as Jira or Asana), along with certifications like PMP or Certified Analytics Professional, is highly valued. Strong leadership, communication, and problem-solving skills help you effectively coordinate teams and manage stakeholder expectations. These abilities are crucial for driving data projects to completion, ensuring analytical insights align with business goals, and adapting to evolving project requirements.

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Data Analytics Project Manager jobs near you
Infographic showing various Data Analytics Project Manager job openings in California as of September 2026, with employment types broken down into 69% Full Time, 30% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $118,050 per year, or $56.8 per hour.

Senior Data Analytics Project Manager

San Francisco, CA • On-site

Argyllinfotech
See more jobs at Argyllinfotechexternal

Contractor

Posted 8 days ago

Job description

Role – Senior Data Analytics Project Manager

Location – Onsite – South SFO

Client – Genentech 

 

Position Overview

We are partnering with a world-class healthcare and biotechnology leader to find a highly strategic Project Manager - Data Analytics. In this highly visible role, you will lead complex Business Intelligence (BI) and Data Warehousing (DW) initiatives while serving as a trusted advisor to enterprise leaders.

This position requires a unique blend of deep technical delivery experience in the analytics space, exceptional communication capabilities, and executive-level relationship management. You will be responsible for owning senior client relationships, driving large-scale data projects using Agile methodologies, and navigating a highly matrixed, global corporate environment.

 

Key Responsibilities

  • Project Leadership: Oversee and manage the end-to-end delivery of multiple concurrent BI development and Data Warehousing projects, driving execution through Agile frameworks.
  • Executive Stakeholder Management: Act as the primary point of contact for senior clients. Leverage exceptional communication skills to actively own, nurture, and grow these critical relationships.
  • Strategic Growth: Utilize your presence and expertise to successfully form and expand new relationships with senior executives across the corporation.
  • Technical Delivery: Apply a strong conceptual understanding of BI and DW ecosystems to guide technical teams, ensure project milestones are met, and deliver impactful analytics solutions.
  • Process & Governance: Champion data governance best practices, helping business leaders define critical metrics and manage business data effectively.

 

Required Qualifications

  • Education: Bachelor’s degree in Computer Science or a related discipline.
  • Experience: Minimum of 13 years of progressive experience within the IT sector.
  • Agile Proficiency: Deep understanding and practical experience leading technical projects utilizing Agile methodologies.
  • Communication Skills: Exceptional verbal, written, and interpersonal communication skills, with a proven ability to translate complex technical concepts into clear business value for executive audiences.
  • Stakeholder Engagement: Proven ability to work directly with senior executives, with a mandatory track record of owning and building senior client relationships within large, enterprise corporations.
  • Analytics Delivery: Proven technical experience in the successful project delivery of Data Warehousing (DW) and Business Intelligence (BI) initiatives.
  • Subject Matter Expertise: Strong foundational knowledge of Business Intelligence and Data Warehousing concepts, coupled with experience managing multiple BI development projects simultaneously.

 

Preferred Qualifications

  • Advanced Degree: Master’s degree in Computer Science or a related discipline is highly preferred.
  • Certifications: Active certification in one or more Project Management methodologies (e.g., PMP, PMI-ACP, CSM).
  • Technical Background: Past hands-on experience working directly with one or more BI technologies and analytics solutions is a strong plus.
  • Data Governance: Specialized expertise in data governance, business data management, and metrics definition is a massive advantage for this role.

 

Education

  • Bachelors or Masters in Information Technology, Computer Science or relevant field.