ZipRecruiter

Log In

2

Part Time Python Data Analysis Jobs in California

LXT

CA

$25/hr

Associates will use a mobile application to capture high-quality images of product shelves for data analysis. Work is project-based but ongoing, with variable hours ( * Part-time employee (less than ...

Compass Group

Financial Analyst

Mountain View, CA · On-site

$110K - $130K/yr

Accounting, Financial Planning & Analysis (FP&A) and Data Analytics. Role Summary To support our ... Full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

Compass Group

Financial Analyst

Mountain View, CA

$110K - $130K/yr

Accounting, Financial Planning & Analysis (FP&A) and Data Analytics. Role Summary To support our ... Full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

Compass Group

Financial Analyst

Mountain View, CA · On-site

$110K - $130K/yr

Accounting, Financial Planning & Analysis (FP&A) and Data Analytics. Role Summary To support our ... Full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

previous page

Showing results 41-60

All JobsPython Data Analysis JobsPart Time Python Data Analysis JobsPart Time Python Data Analysis Jobs in California

Part Time Python Data Analysis information

What is a part-time Python data analyst?

A part-time Python data analyst is a professional who uses Python programming to analyze, interpret, and visualize data, but works fewer hours than a full-time employee. They help organizations make data-driven decisions by cleaning data, running statistical analyses, and creating reports or dashboards, typically on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or looking to supplement their income while utilizing their data analysis skills.

How do part-time Python data analysts typically collaborate with full-time team members to ensure project continuity?

Part-time Python data analysts frequently work alongside full-time data teams by attending regular meetings, using shared project management tools, and maintaining thorough documentation of their work. This collaboration ensures that progress is transparent and that handoffs between analysts are smooth, minimizing disruptions. Communication platforms like Slack or Microsoft Teams are often utilized to keep everyone aligned, and version control systems such as Git help track changes in code and data analyses. Being proactive about updates and asking clarifying questions also helps part-time analysts integrate effectively with the team.

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

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python, and a solid understanding of statistics or data science fundamentals, often supported by relevant coursework or a degree. Familiarity with tools like pandas, NumPy, Jupyter notebooks, and basic SQL, as well as experience with data visualization libraries such as matplotlib or seaborn, is typically required. Attention to detail, problem-solving ability, and effective communication help you convey insights and collaborate with team members. These skills are crucial for extracting meaningful information from data and supporting informed decision-making in a flexible, part-time capacity.

What is the difference between Part Time Python Data Analysis vs Part Time Data Scientist?

AspectPart Time Python Data AnalysisPart Time Data Scientist
Required CredentialsBasic Python, SQL, Excel skillsAdvanced Python, machine learning, statistics
Work EnvironmentData analysis projects, reportingModel development, predictive analytics
Industry UsageBusiness reporting, market researchProduct development, AI applications

Part Time Python Data Analysis typically involves handling data, creating reports, and basic analysis using Python and related tools. In contrast, Part Time Data Scientists work on developing models, applying machine learning, and performing advanced statistical analysis. While both roles require Python skills, Data Scientists usually have more specialized knowledge and work on more complex projects. The choice depends on your skill level and career goals within data roles.

What are the most commonly searched types of Python Data Analysis jobs in California?

The most popular types of Python Data Analysis jobs in California are:

What are popular job titles related to Part Time Python Data Analysis jobs in California?

For Part Time Python Data Analysis jobs in California, the most frequently searched job titles are:

What job categories do people searching Part Time Python Data Analysis jobs in California look for?

The top searched job categories for Part Time Python Data Analysis jobs in California are:

What cities in California are hiring for Part Time Python Data Analysis jobs?

Cities in California with the most Part Time Python Data Analysis job openings:

Part Time Python Data Analysis jobs near you

Cash Reporting Associate (Part-Time)

wafna

Santa Fe Springs, CA • On-site

Part-time

Posted 13 days ago

Job description

The Cash Reporting Associate works for the Accounting and Finance Division at our headquarters in Santa Fe Springs, California. This role is responsible for daily cash positioning, bank reconciliations, cash flow tracking, and generating accurate financial reporting to support corporate liquidity and accounting compliance.

Essential Job Functions

  • Daily Cash Reporting: Monitor and manage daily bank transactions, cash positions, and liquidity across multiple corporate accounts and regional branches.
  • Cash Reconciliations: Perform daily bank and ledger reconciliations, ensuring accurate matching of incoming cash receipts, electronic funds transfers (EFT), wire transfers, and lockbox deposits.
  • Financial Reporting & Analysis: Prepare daily, weekly, and monthly cash flow reports, variance analyses, and forecasting summaries for senior finance leadership
  • Error Investigation & Resolution: Identify, research, and resolve banking discrepancies, unapplied cash items, and payment processing errors in coordination with the Accounts Receivable (AR) and Accounts Payable (AP) teams.

Experience/ Training/ Education

  • 5+ years of experience in corporate accounting, treasury, cash management, or financial reporting (experience in distribution, food service, or wholesale industries is a plus).
  • Advanced proficiency in Microsoft Excel (VLOOKUPs, pivot tables, and financial modeling).
  • Familiarity with enterprise resource planning (ERP) systems and banking platforms.
  • Bachelor's degree in Accounting, Finance, Economics, or a related business field.

Knowledge, Skills, and Ability

  • Advanced proficiency in Microsoft Excel, including data analysis, reporting automation, and dashboard development.
  • Experience with Enterprise Resource Planning (ERP) systems, including Oracle, SAP, and JD Edwards, as well as financial reporting and business intelligence tools.
  • Proven ability to identify operational inefficiencies and optimize processes through the automation of accounting, reconciliation, and financial reporting functions.
  • Strong analytical and problem-solving capabilities, with expertise in evaluating complex financial data, identifying root causes of discrepancies, and providing actionable business recommendations.
  • Exceptional attention to detail, ensuring accuracy, completeness, and compliance in financial reporting, reconciliations, data analysis, and account management activities.

Working conditions: This is a part-time position, Monday through Friday, from 8:00 a.m. to 12:00 p.m. This is a fully onsite position, and candidates will be expected to report to the office every day.  Standard corporate office environment.  Must be able to manage tight deadlines and perform effectively under pressure when schedules change and operational challenges arise.

Apply