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Day Shift Python Data Analyst Jobs in Riverside, CA

Collabera

Data Analyst

Santa Ana, CA

... days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance ... Responsible for data analysis related to AMO post-market product complaints and reporting on trends ...

PDS Health

Sr Analyst, People Analytics and Data

Irvine, CA · On-site

$92K - $116K/yr

Ownership of day-to-day reporting deliverables and operational support of report requests ... Knowledge or exposure to Python or R for advanced data analysis, predictive modelling, and ...

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Day Shift Python Data Analyst information

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$35.5K

$86.2K

$141.9K

How much do day shift python data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for day shift python data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

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Day Shift Python Data Analyst jobs near you
Infographic showing various Day Shift Python Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Data Analyst 3 (Korean Bilingual)

Intac Solution

Santa Ana, CA

$42 - $55/hr

Full-time

Re-posted 26 days ago

Job description

Job Title: Data Analyst 3 (#17536-1)
Position Details

  • Role: Sr. Data amp; Reporting Analyst (Data Analyst 3)

  • Pay Rate: Up to $55.00 / hr (Depends on education/qualifications)

  • Location: 3 MacArthur Place, Santa Ana, CA, USA (Fully Onsite)

  • Duration: 6 Months (06/29/2026 – 12/28/2026)

  • Language: Bilingual English/Korean (Required)

Role Summary

The Sr. Data amp; Reporting Analyst serves as the analytical engine for warehouse operations and logistics cost management. This role is responsible for all points of data mining, extraction, manipulation, analysis, and report automation. Turning complex enterprise data into clear, actionable business insights, the analyst will develop and publish daily, weekly, and monthly KPIs. Strong bilingual communication skills are critical, as the targeted audiences for these reports include senior leadership and global headquarters in Korea.

Top Skills

  • Advanced Data Management amp; Tools: Mastery of Python, SQL, Access, Excel, and database/ETL process design.

  • BI Dashboards amp; Automation: Experience building, maintaining, and automating reports and dashboards using BI tools (Tableau, Power BI, etc.).

  • Logistics amp; SCM System Literacy: Strong hands-on experience within SAP and Warehouse Management Systems (WMS).

  • Bilingual Communication (English/Korean): Exceptional written and verbal communication skills to interface with multi-cultural executive levels and HQ.

Key Responsibilities

  • Data Mining amp; Analytics: Extract and manipulate data from multiple large-scale sources to design, implement, and automate enterprise ETL and reporting processes.

  • KPI amp; Operational Reporting: Create, maintain, and publish standard and complex ad-hoc reports (charts, graphs, tables) monitoring warehouse operational metrics, logistics performance, and transportation costs.

  • Dashboard amp; Automation Management: Maintain existing dashboards and design automated reporting methods to ensure data accuracy and timely generation (99+% achievement targets).

  • Business Intelligence Support: Help drive critical business decisions and identify performance improvement opportunities by providing in-depth quantitative analysis and data-driven recommendations.

  • Cross-Functional Collaboration: Interact closely with broad operational teams to validate data, resolve discrepancies, and ensure consistent information sharing through daily/weekly briefings.

Qualifications

  • Education: Bachelor's degree in Business Analytics, Engineering, Mathematics, Computer Science, Accounting, or a related technical field.

  • Experience: Minimum 3 years of experience in data analysis within logistics, distribution center, warehouse, or supply chain environments (5–7 years preferred per Beeline requirements). Proven track record in cost analysis and report automation.

  • Technical Tools: High proficiency in Python, SQL, MS Excel, Access, PowerPoint, Tableau, SAP, and WMS. Experience with Microsoft SharePoint is a plus.

  • Certifications: Process certifications such as Six Sigma, CBPP, BPM, ISO, ITIL, or CMMI are a strong plus.

Core Competencies

  • Critical Thinking amp; Problem Solving: Exceptional analytical skills with the ability to handle highly diverse conditions and execute work assignments independently under minimal supervision.

  • Attention to Detail: Meticulous approach to tracking data accuracy and delivering objective, simple, and structured presentations of complex data.

  • Stress amp; Time Management: Ability to employ effective time management while working under tight time schedules, technical data feedback loops, and language barriers in a multi-cultural environment.

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About Intac Solution

Sourced by ZipRecruiter

Intac Solution, established in 2015 in Dallas, TX, started up with a group of leaders with over 15 years of experience in the mobile device engineering industry. Our company specializes in discovering talents and serving solutions to S/W & H/W Development, Testing Outsourcing, Market Research & Data Analysis to provide limitless solutions to Client Projects. We are dedicated to make sure our clients receive high quality services by providing options to continuously monitor status and quality of different projects. Currently employing over 300 members across the board, ITS is a fast growing company due to its performance, resources, and innovated services. In 2017, within 2 years of establishment, we expanded providing resourcing services to clients to different locations within the United States. ITS is continuing to grow by completing new team projects effectively and successfully.

Industry

Marketing

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

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