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Temporary Python Sql Jobs in Los Angeles, CA (NOW HIRING)

Naughty Dog

IT Hardware Generalist

Santa Monica, CA · On-site

This position is for a temporary engagement through our staffing partner Yoh Enterprise Solutions ... Python, SQL, PowerShell, Bash * Familiarity with live streaming hardware and software * Familiarity ...

Naughty Dog

IT Hardware Generalist

Santa Monica, CA · On-site

This position is for a temporary engagement through our staffing partner Yoh Enterprise Solutions ... Python, SQL, PowerShell, Bash * Familiarity with live streaming hardware and software * Familiarity ...

CorVel Career Site

Data Analyst III

Irvine, CA · Hybrid

Intermediate proficiency in SQL required with the ability to perform stored procedures, temp tables ... STATA, MATLAB, Python, etc. with the ability to utilize the language for data manipulation ...

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How much do temporary python sql jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for temporary python sql in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 per hour, depending on experience, location, and employer.

What is a temporary Python SQL job?

Temporary Python SQL jobs are short-term positions that require proficiency in both the Python programming language and SQL (Structured Query Language). These roles often involve data analysis, database management, or application development, where employers need extra support for a specific project or busy period. Temporary workers may help write scripts to automate data tasks, query databases, or support data-driven decision-making. These jobs are ideal for people looking for flexible work or to gain experience in tech environments. They can last from a few weeks to several months, depending on the employer's needs.

What are the typical responsibilities and expectations for someone in a temporary Python SQL role?

In a Temporary Python SQL role, you can expect to work on short-term projects that involve developing scripts and tools using Python, as well as writing and optimizing SQL queries for data extraction, transformation, and analysis. You will often collaborate closely with data analysts, engineers, or business teams to meet specific project goals within tight deadlines. Adaptability and quick learning are important, as you may need to familiarize yourself with new databases or codebases rapidly. This role often provides valuable exposure to real-world datasets and can be a great opportunity to build hands-on experience in both programming and database management.

What are the key skills and qualifications needed to thrive as a temporary Python SQL developer, and why are they important?

To excel as a Temporary Python SQL Developer, you need strong programming skills in Python and SQL, often backed by a degree in computer science or relevant experience. Familiarity with databases like MySQL or PostgreSQL, version control systems (e.g., Git), and sometimes data analytics or ETL tools is typically required. Problem-solving ability, attention to detail, and adaptability are crucial soft skills for managing short-term projects and collaborating with teams. These competencies ensure you can deliver effective, efficient solutions within tight timelines and dynamic environments.

What is the difference between Temporary Python Sql vs Data Analyst?

AspectTemporary Python SqlData Analyst
Required CredentialsPython, SQL, basic data skillsStatistics, Excel, SQL, Python (optional)
Work EnvironmentProject-based, short-term roles, tech-focusedOffice or remote, ongoing analysis tasks
Employer & Industry UsageTech companies, startups, consultingFinance, marketing, healthcare, corporate
Search & Comparison IntentTemporary Python Sql vs Data Analyst

Temporary Python Sql roles focus on short-term projects requiring Python and SQL skills for data manipulation and analysis. Data Analysts often have similar skills but typically work in ongoing roles with broader responsibilities. Both roles are common in tech and corporate environments, but the temporary positions are more project-specific, while Data Analysts may have more stable, long-term employment.

What are popular job titles related to Temporary Python Sql jobs in Los Angeles, CA?

For Temporary Python Sql jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Temporary Python Sql jobs in Los Angeles, CA look for?

The top searched job categories for Temporary Python Sql jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Temporary Python Sql jobs?

Cities near Los Angeles, CA with the most Temporary Python Sql job openings:

Temporary Python Sql jobs near you
Infographic showing various Temporary Python Sql job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $131,384 per year, or $63.2 per hour.

BI Reporting Analyst II

Los Angeles, CA • On-site

Intelliswift - An LTTS Company
See more jobs at Intelliswift - An LTTS Companyexternal

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a BI Reporting Analyst II to enhance data-driven decision-making within the organization. The role involves coordinating with various teams to analyze fraud and compliance risks, develop automated reporting, and utilize data analytics tools to improve business processes.
Responsibilities:
• Coordinate with Risk, Compliance, and Operations leaders, database engineers and executives to accomplish the following:
• Translate business questions into verifiable hypotheses and make decisions through testing.
• Constantly exploring ways to improve and automate manual processes using data, machine learning, analytics.
• Leverage data to understand our Small Business money movement Fraud, Financial and Compliance Risk in depth and identify trends that indicate elevated risk and inform and influence Risk Policy where applicable.
• Proactively identify areas of opportunity and suggest projects to mitigate risk while providing an awesome and delightful customer experience.
• Work with engineers to develop, test, and maintain accurate tracking, capturing and reporting of key Fraud Risk & Compliance metrics via server-side data collection and other database sources.
• Maintain and improve a set of automated reporting to provide the basis for in-depth analysis and business evaluation; in doing so provide the standardized logic for Risk analysts to build upon.
• Use tools and programs such Microsoft SQL Server (SSRS, SSAS), Excel, Python, Tableau, QlikView and many other internal tools to work efficiently at scale.
• Provide analysis and insight that help manage Fraud & Compliance policies such as anti-money laundering and approvals/underwriting for all money movement products.
• Utilize predictive modeling and other advanced techniques to prevent money laundering, acceptable use violations, first and third party fraud attacks.
• Partner with Risk & Compliance Operations to provide analysis and reporting that enables efficient Risk processes and results in improved metrics and performance.
Qualifications:
Required:
• Strong business acumen and exceptional analytical ability with 2-5 years of relevant experience.
• Advanced SQL and coding skills to perform data segmentation and aggregation from scratch.
• Good working experience with data analytics and visualization tools (Excel, Power Pivot, Tableau, QlikView, etc.).
• Outstanding communication skills with the ability to deftly negotiate, prioritize across teams, influence decision makers and build consensus with teams.
• High degree of accountability, organization and empathy.
• Experience working with Key Performance Indicator metrics such as conversion rates, user acquisition, conversion and retention and/or product usage.
• Bachelor’s Degree in Quantitative Field or commensurate experience.
• Advanced SQL: 5+ years - Comfortable writing complex SQL queries that combine data from various tables, e.g. CTEs, temporary tables.
• Tableau: 3+ years - Highly proficient in building effective data visualizations using Tableau dashboards.
• Python: 3+ years - Experience with Python programming for querying, data pipelines and ETL.
• ETL: 3+ years - Experience with Data ETL using any scripting language.
• Excellent analytical and problem-solving skills.
• Outstanding communication skills with the ability to interpret data and tell a story.
Preferred:
• Experience in Financial Services or FinTech.
• Microsoft SQL Server Management Studio experience highly preferred.
• Experience with statistical analysis preferred.
• Advanced Tableau and Python: 5+ years - Advanced Tableau and Python programming abilities.
• Excel VBA: 2+ years - Experience with Excel macros and VBA.
• Data Platforms: 2+ years - Experience working with Redshift/Databricks/Jupyter Notebooks.
• Experience in Payments/Financial Services Industry.
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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