1

Manager Data Analyst Jobs in Rialto, CA (NOW HIRING)

Shared Services Analyst

Perris, CA · On-site

$73K - $83K/yr

... Services Analyst: Unlock Insights, Optimize Logistics! Are you a data whiz with a passion for ... Why You'll Love This Role: You're not just managing data, audits and processes - you're building ...

Why You'll Love This Role: · You're not just managing data, audits and processes -- you're ... Analyze trends, monitor process controls, and develop metrics for all inventory components to ...

Shared Services Analyst

Perris, CA · On-site

$73K - $83K/yr

Why You'll Love This Role: · You're not just managing data, audits and processes -- you're ... Analyze trends, monitor process controls, and develop metrics for all inventory components to ...

... data quality. Top 3 Skills - Systems Analyst Systems Analysis & Application Management * Analyze, maintain, implement, and improve enterprise applications and systems. * Experience with system ...

Showing results 41-60

Manager Data Analyst information

See Rialto, CA salary details

$34.1K

$82.9K

$136.4K

How much do manager data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for manager data analyst in Rialto, CA is $82,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $97,300.00 per year, depending on experience, location, and employer.

What does a Manager Data Analyst do?

A Manager Data Analyst oversees a team of data analysts, guiding their work in collecting, processing, and interpreting complex data to help organizations make informed decisions. They are responsible for developing data strategies, ensuring data accuracy, and translating analytical findings into actionable insights for business leaders. In addition to technical expertise, they often collaborate with other departments, manage projects, and mentor team members to support business goals and drive growth.

What are the key skills and qualifications needed to thrive as a Manager Data Analyst?

To thrive as a Manager Data Analyst, you need a strong background in statistics, data modeling, and analytics, often supported by a degree in a quantitative field and experience in data analysis roles. Familiarity with tools such as SQL, Python or R, business intelligence platforms (e.g., Tableau, Power BI), and data management systems is typically required. Leadership, problem-solving abilities, and effective communication skills set standout candidates apart by enabling them to lead teams and translate data insights to stakeholders. These skills are vital for driving data-driven business decisions and ensuring the effective functioning of analytics teams.

How does a Manager Data Analyst typically balance hands-on data analysis with overseeing team projects?

A Manager Data Analyst is often responsible for both performing complex data analysis and managing a team of analysts. Balancing these duties involves delegating day-to-day analytical tasks to team members while focusing on project oversight, strategic planning, and stakeholder communication. Managers frequently review team outputs, provide mentorship, and ensure that data-driven insights align with business objectives. This dual role requires strong organizational skills and the ability to shift between technical work and leadership responsibilities.

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

AspectManager Data AnalystData Analyst
ResponsibilitiesOversees data teams, manages projects, develops strategiesAnalyzes data, prepares reports, supports decision-making
Required SkillsLeadership, project management, advanced analyticsData analysis, SQL, Excel, visualization tools
Experience5+ years, leadership experience often required1-3 years, entry to mid-level
CertificationsRelevant certifications like CAP, PMP beneficialSQL, Excel, Tableau certifications advantageous

The main difference between a Manager Data Analyst and a Data Analyst lies in scope and responsibility. Managers oversee teams and strategic initiatives, while Data Analysts focus on data analysis and reporting. Both roles require strong analytical skills, but managerial positions demand leadership and project management experience.

What are the most commonly searched types of Data Analyst jobs in Rialto, CA?

The most popular types of Data Analyst jobs in Rialto, CA are:

What cities near Rialto, CA are hiring for Manager Data Analyst jobs?

Cities near Rialto, CA with the most Manager Data Analyst job openings:

Infographic showing various Manager Data Analyst job openings in Rialto, CA as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $82,869 per year, or $39.8 per hour.

Sr. Business Analyst - Sensitive Data Management

Esri

Redlands, CA • On-site

$93K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

Overview
This role is intended for a senior Business Analyst who can operate across business process discovery, requirements engineering, data analysis, and migration validation. The analyst will work directly with Finance and HR subject matter experts to understand current-state data warehouse usage, document the future-state needs for Fabric, and help engineering teams convert business requirements into actionable technical specifications. The role involves sensitive Human Resources and Finance data, the BA should be comfortable documenting restricted data elements, role-based access needs, data quality expectations, and validation evidence while maintaining appropriate confidentiality and auditability.
Be part of a dynamic collaborative environment and join the team at our stunning campus in Redlands, CA, where your analytical skills will help drive strategic business decisions.
Responsibilities
  • Partner with Finance, HR, and technical stakeholders to gather, analyze, and document business, functional, non-functional, reporting, and security requirements
  • Facilitate workshops to understand current-state processes, reporting needs, data warehouse usage, pain points, controls, and business objectives
  • Translate business requirements into implementation-ready specifications, including source-to-target mappings, transformation rules, business logic, exception handling, and acceptance criteria
  • Create and maintain project documentation, including process flows, data dictionaries, data models, requirements traceability matrices, report mockups, and decision logs
  • Collaborate with data engineers and subject matter experts to define business rules, resolve requirements gaps, validate assumptions, and support development planning
  • Design and coordinate validation activities for migrated data products, including tables, dimensions, facts, semantic models, and reports using reconciliation, testing, and defect tracking methodologies
  • Establish and maintain data quality, validation, parity reporting, and operational monitoring solutions using Power BI or similar analytics tools
  • Document and support governance, security, and compliance requirements, including data classifications, PII, compensation-related data, role-based access controls, row-level security, data masking, retention, lineage, and audit requirements
  • Lead user acceptance testing (UAT) activities, including test planning, script development, readiness assessments, sign-off processes, and post-migration validation support
  • Serve as the primary liaison between business and technical teams, communicating risks, managing requirement changes, and ensuring solutions align with Finance and HR business goals

Requirements
  • 5+ years of direct business analysis experience supporting data, analytics, business intelligence, or data warehouse initiatives for Human Resources, Finance, Accounting, Payroll, or similarly controlled business domains
  • Demonstrated ability to translate business requirements into functional specifications, data mappings, acceptance criteria, test plans, and development-ready backlog items
  • Intermediate to advanced querying and analysis skills using T-SQL, SQL Server tools, Excel, and similar data profiling or validation approaches
  • Working knowledge of dimensional modeling concepts, semantic models, reporting layers, measures, KPIs, hierarchies, and data lineage
  • Experience supporting data validation, reconciliation, defect triage, UAT, stakeholder sign-off, and production readiness for business-critical reporting or data products
  • Exceptional written and verbal communication skills, including the ability to adapt messaging for SMEs, engineers, product owners, managers, and executive stakeholders
  • Strong facilitation, organization, prioritization, and follow-through skills in an environment with multiple stakeholders, evolving requirements, and sensitive data constraints
  • Ability to maintain confidentiality and exercise sound judgment when working with restricted HR, compensation, payroll, financial, or accounting data
  • Applicants must be authorized to work for any employer in the United States; visa sponsorship is not available for this posting
  • Bachelor's degree in business, information systems, mathematics, finance, accounting, human resources, data analytics, or a related field, or equivalent experience

Recommended Qualifications
  • Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, Lakehouse/Warehouse patterns, Power BI, or cloud data platform migration projects
  • Prior experience migrating or modernizing HR, Finance, Payroll, Accounting, or enterprise reporting data warehouses
  • Experience with medallion architecture concepts, source-system ingestion, bronze/silver/gold layering, dimensional models, and report modernization
  • Experience documenting security models, row-level security, role-based access controls, data masking requirements, and sensitive data handling expectations
  • Knowledge of financial and accounting concepts, HR lifecycle processes, payroll concepts, workforce reporting, or compliance-driven reporting needs
  • Working familiarity with collaboration and analysis tools such as Microsoft 365, SharePoint, Teams, Visio, Lucidchart, Azure DevOps, Jira, or similar delivery tooling
  • Comfortable reviewing SQL logic, stored procedures, views, business rules, and report calculations to support requirement clarification and validation

#LI-TM1
#LI-Onsite
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$72,800-$135,200 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


ESRI logo

About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969