ZipRecruiter

Log In

2

Part Time Sql Finance Jobs (NOW HIRING)

Weekday AI

Capital allocation AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... This role sits at the intersection of finance, strategy, and advanced analytics, focusing on ...

next page

Showing results 1-20

All JobsSql Finance JobsPart Time Sql Finance Jobs

Part Time Sql Finance information

See salary details

$70K

$108.2K

$164.5K

How much do part time sql finance jobs pay per year?

As of Jun 10, 2026, the average yearly pay for part time sql finance in the United States is $108,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time SQL Finance professional, and why are they important?

To thrive as a Part Time SQL Finance professional, you need strong finance or accounting knowledge, proficiency in SQL, and an educational background in finance, accounting, or a related field. Familiarity with database management systems such as Microsoft SQL Server or Oracle, and experience with financial reporting tools, are typically required. Attention to detail, analytical thinking, and effective communication set top performers apart in this role. These combined skills ensure accurate financial data analysis and reporting, supporting sound business decisions even in a part-time capacity.

What is the difference between Part Time Sql Finance vs Part Time Data Analyst?

AspectPart Time Sql FinancePart Time Data Analyst
Required SkillsSQL, finance concepts, data managementSQL, data visualization, statistical analysis
Work EnvironmentFinancial institutions, accounting firmsBusiness, marketing, tech companies
CertificationsSQL certifications, finance-related credentialsData analysis certifications, SQL knowledge

Part Time Sql Finance focuses on managing financial data using SQL within finance or accounting settings, while Part Time Data Analyst involves analyzing various data types, including financial data, to support business decisions. Both roles require SQL skills, but Part Time Sql Finance emphasizes finance-specific knowledge, making it ideal for those interested in finance-related data management.

What are part-time SQL finance jobs?

Part-time SQL finance jobs are roles in the finance sector that require proficiency in SQL (Structured Query Language) and are structured for fewer hours than full-time positions. These jobs typically involve analyzing financial data, creating and managing databases, writing queries to extract insights, and generating reports to support financial decision-making. Part-time positions are ideal for students, professionals seeking flexible schedules, or those balancing multiple commitments. Employers may include banks, financial services companies, or accounting firms that need database expertise but do not require a full-time analyst.

What are some typical responsibilities for a part-time SQL Finance professional, and how do they contribute to the finance team's success?

As a part-time SQL Finance professional, you can expect to focus on tasks such as extracting and analyzing financial data from databases, generating regular financial reports, and supporting data-driven decision-making within the finance team. Your role often involves collaborating closely with accountants, analysts, and IT personnel to ensure data integrity and streamline reporting processes. By efficiently managing and interpreting large datasets, you help the team identify trends, ensure compliance, and optimize financial performance, even within limited working hours.
More about Part Time Sql Finance jobs
What are the most commonly searched types of Sql Finance jobs? The most popular types of Sql Finance jobs are:
What job categories do people searching Part Time Sql Finance jobs look for? The top searched job categories for Part Time Sql Finance jobs are:
Part Time Sql Finance jobs near you

Freelance Data Science Engineer (Python & SQL)

Mindrift

Remote

$90/hr

Part-time

Posted 20 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
  • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
  • Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
  • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
  • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
  • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
  • Incorporate big data processing scenarios requiring scalable computational approaches
  • Verify solutions using Python with standard data science libraries and statistical methods
  • Document problem statements clearly with realistic business contexts and provide verified correct answers

What we look for
This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
  • 5+ years of hands-on data science experience with proven business impact
  • Portfolio of completed projects and publications showcasing real-world problem-solving
  • Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
  • Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
  • Expert with SQL and database operations for data manipulation and analysis
  • Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
  • Understanding of MLOps practices and model deployment workflows
  • Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
  • Strong written English (C1+).

How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply