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Contract Python Data Analysis Jobs in Fontana, CA

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Integrate and automate business processes using SQL, Python, REST APIs, Power Automate, Power Apps ... analysis, or a related technical role. * Advanced proficiency with Microsoft SQL Server and T-SQL ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Integrate and automate business processes using SQL, Python, REST APIs, Power Automate, Power Apps ... analysis, or a related technical role.Advanced proficiency with Microsoft SQL Server and T-SQL ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

Techlink Systems

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Contract Administrator FB2026

Anaheim, CA · On-site

$40 - $50/hr

Anaheim, CA Contract Duration: 13 Weeks Working hours: Day 5x8-Hour (08:00 - 17:00) Total hours: 40 ... Capable of supporting special projects requiring data analysis and data mining. * Maintains ...

Brighton

Data Engineer

City Of Industry, CA · On-site

$90K - $120K/yr

... analysts and business stakeholders to understand requirements and translate business problems into reliable data solutions. Technical experience we're looking for * Strong SQL and Python.

InSync Consulting

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Research Contracts Budget Analyst

Anaheim, CA · On-site

$43 - $48/hr

... contract negotiation, and cross-functional collaboration. Key Responsibilities * Coordinate ... Support data analysis, data mining, KPI reporting, and maintenance or enhancement of metric ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Fontana, CA

Contract Python Data Analysis information

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How much do contract python data analysis jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for contract python data analysis in Fontana, CA is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 per hour, depending on experience, location, and employer.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Fontana, CA?

The most popular types of Python Data Analysis jobs in Fontana, CA are:

What are popular job titles related to Contract Python Data Analysis jobs in Fontana, CA?

For Contract Python Data Analysis jobs in Fontana, CA, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Fontana, CA look for?

The top searched job categories for Contract Python Data Analysis jobs in Fontana, CA are:

What cities near Fontana, CA are hiring for Contract Python Data Analysis jobs?

Cities near Fontana, CA with the most Contract Python Data Analysis job openings:

Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Fontana, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,962 per year, or $59.6 per hour.

Data Analytics Engineer

Brea, CA • On-site

Kirkhill Inc.
Aerospace Product and Parts Manufacturing • 1 - 5K employees
Learn more about Kirkhill Inc.external

$85K - $200K/yr

Full-time

Posted 10 days ago

Job description

Job Role
The Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position supports all of Kirkhill, with an emphasis on Production, Supply Chain, and Quality.
Working cross-functionally across the organization, this role translates complex manufacturing and business requirements into practical technical solutions. The position combines manufacturing and ERP expertise with strong capabilities in SQL Server, Power BI, Python, Excel, Microsoft Power Platform, and emerging AI technologies.
Responsibilities
Manufacturing Systems & Analytics
Partner with Operations and other stakeholders to understand manufacturing processes, identify system and data gaps, and develop solutions that improve factory performance. Design reporting, dashboards, and analytical tools that provide actionable visibility into production, capacity, WIP, material availability, quality, backlog, and on-time delivery.
ERP, Planning & Decision Support
Develop analytical and automation solutions around Infor CSI/Syteline ERP, including production planning, APS/MRP, scheduling, jobs, BOMs, routings, inventory, purchasing, and material transactions. Develop data-driven scheduling and decision-support solutions that improve production priorities, material visibility, capacity planning, and projected completion dates.
Data Engineering, Integration & Automation
Design and maintain SQL Server data models, queries, stored procedures, ETL processes, and other data solutions supporting factory analytics and operational applications. Integrate and automate business processes using SQL, Python, REST APIs, Power Automate, Power Apps, Excel/VBA, and related technologies.
Artificial Intelligence & Advanced Analytics
Identify and implement practical applications of AI and advanced analytics within manufacturing and business operations, including document intelligence, large language models, intelligent workflow automation, anomaly detection, and predictive analytics. Evaluate solutions based on measurable business value, accuracy, security, maintainability, and data quality.
Continuous Improvement & Solution Ownership
Use operational data to identify bottlenecks, production risks, data-quality issues, and opportunities for process improvement. Own solutions from requirements and technical design through development, testing, deployment, documentation, training, and ongoing support.
Technical Leadership & Strategy
Contribute to the long-term factory information systems strategy, including integration of ERP, manufacturing, quality, BI, automation, and AI technologies. Provide technical leadership, mentorship, standards, and best practices for analysts, engineers, and business users.
Requirements
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related technical discipline.
  • 6+ years of experience in manufacturing systems, business intelligence, data analytics, business systems analysis, or a related technical role.
  • Advanced proficiency with Microsoft SQL Server and T-SQL, including complex query development and optimization.
  • Strong experience with Power BI, data modeling, DAX, Power Query, Excel, and operational reporting.
  • Experience developing data-processing, integration, and automation solutions using Python, APIs, Microsoft Power Platform, or similar technologies.
  • Experience with ERP/MRP systems and manufacturing data, including production planning, BOMs, routings, inventory, materials, and scheduling.
  • Strong understanding of manufacturing operations and concepts such as WIP, capacity, throughput, material availability, lead time, and on-time delivery.
  • Demonstrated ability to independently analyze complex operational problems, develop practical technical solutions, and communicate effectively with technical and non-technical stakeholders.

Preferred Qualifications
  • Strong experience with Infor CSI/Syteline, including its SQL data model and APS/MRP functionality.
  • Experience developing factory scheduling, capacity planning, WIP, material-planning, and production-performance solutions.
  • Experience integrating ERP, MES, quality, planning, or other manufacturing systems.
  • Practical experience implementing AI-enabled business or manufacturing solutions, predictive analytics, or intelligent workflow automation.

Kirkhill, Inc. is proud to be an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. All successful candidates must submit to post offer pre-employment physical examination, drug/alcohol screen and background check as a condition of employment.
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About Kirkhill

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Brea, CA, US

Year founded

1919

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