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Data Jobs in Modesto, CA (NOW HIRING)

Foster Farms

Retail Sales Administrator

Livingston, CA · On-site

$23.15 - $27.25/hr

Key responsibilities include managing promotional data within TPM systems, supporting deduction resolution, coordinating customer order issue resolution, and delivering timely, accurate reporting to ...

Foster Farms

Category Development Manager I

Livingston, CA · On-site +1

$103K - $129K/yr

The ideal candidate is a data-driven storyteller with a strong command of syndicated, shopper, and receipt-level data who can influence internal strategy and external sell-in conversations with ...

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All JobsData JobsData Jobs in Modesto, CA

Data information

See Modesto, CA salary details

$48.5K

$174.1K

$256.9K

How much do data jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data in Modesto, CA is $174,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,800.00 and $179,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

More about Data jobs
What are the most commonly searched types of Data jobs in Modesto, CA? The most popular types of Data jobs in Modesto, CA are:
What are popular job titles related to Data jobs in Modesto, CA? For Data jobs in Modesto, CA, the most frequently searched job titles are:
What job categories do people searching Data jobs in Modesto, CA look for? The top searched job categories for Data jobs in Modesto, CA are:
What cities near Modesto, CA are hiring for Data jobs? Cities near Modesto, CA with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Modesto, CA as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $174,095 per year, or $83.7 per hour.

Manager, Financial Systems & Processes - Modesto, CA

The Save Mart Companies

Modesto, CA

Full-time

Posted 27 days ago

Save Mart rating

4.3

Company rating: 4.3 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

116th of 122 rated grocery stores

Job description

Job Summary:

The Manager, Financial Systems and Processes serves as the strategic technology and analytics leader within the Finance organization, responsible for optimizing & enhancing financial systems, automating processes, and delivering business intelligence solutions that drive data-driven decision-making. This role bridges the gap between Finance, IT, and business operations by translating business requirements into technical solutions, managing financial system implementations and enhancements, and creating powerful analytics and reporting capabilities.

The Manager oversees the financial technology stack including ERP systems, financial planning platforms, business intelligence tools, and reporting solutions, while driving continuous improvement through process automation, data integration, and advanced analytics. This position plays a critical role in enabling Finance, Operations, Merchandizing, and other teams to operate efficiently, provide timely insights, and support strategic business objectives through technology and data. The Manager will be a people leader, leading and coaching a team.

Responsibilities:

  • Business Intelligence & Analytics
    • Design, develop, and maintain executive dashboards and business intelligence reports
    • Create financial and operational KPI scorecards for executive leadership and Board
    • Build self-service analytics capabilities enabling business users to access insights independently
    • Develop automated reporting solutions reducing manual effort and improving accuracy
    • Analyze large datasets to identify trends, anomalies, and opportunities
    • Create data visualizations that tell compelling stories and drive action
    • Design and implement predictive analytics and forecasting models
    • Establish data governance standards for reporting definitions and methodologies
    • Maintain report library and documentation of data sources and business logic
  • Financial Systems Management & Optimization
    • Serve as primary Finance owner/administrator for financial systems including ERP, EPM, consolidation, and reporting platforms
    • Manage system configurations, user access, security roles, and permissions for financial applications
    • Partner with IT on system maintenance, upgrades, patches, and technical support
    • Lead or participate in financial system implementations, migrations, and major upgrades
    • Evaluate new financial technologies and recommend solutions to enhance capabilities
    • Troubleshoot system issues and coordinate resolution with IT and vendors
    • Maintain system documentation including process flows, user guides, and training materials
    • Ensure system integration and data integrity across financial and operational platforms
    • Monitor system performance, identify bottlenecks, and implement optimization solutions
    • Manage relationships with software vendors and external consultants
  • Process Improvement & Automation
    • Lead continuous improvement initiatives to streamline financial processes and increase efficiency
    • Identify automation opportunities across financial close, reporting, planning, and analysis
    • Design and optimize month-end close processes and reporting cycles
    • Develop automated data validation and reconciliation processes
    • Create workflow automation for approvals, notifications, and routing
    • Eliminate manual data manipulation and spreadsheet-based processes
    • Standardize processes and reporting templates across organization
    • Document process improvements and maintain standard operating procedures
    • Measure and track efficiency gains and time savings from automation initiatives
  • Data Management & Integration
    • Design and maintain data architecture supporting financial reporting and analysis
    • Ensure data quality, consistency, and integrity across systems
    • Create and maintain data warehouse or data mart for financial and operational data
    • Build data integration between ERP, planning, BI, and operational systems
    • Establish master data management practices for chart of accounts, cost centers, and dimensions
    • Develop data dictionaries and business glossaries
    • Monitor data pipelines and troubleshoot integration issues
    • Implement data validation rules and exception reporting
    • Partner with IT on database management and performance optimization

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