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Business Analyst Sql R Python Jobs in Newark, DE

Python Pyspark

Wilmington, DE ยท On-site

$48.75 - $67.25/hr

PySpark, including Spark SQL and other Spark APIs Expert proficiency in Python programming language ... analytical abilities

Python - Basic

Wilmington, DE ยท On-site

$48.75 - $67.25/hr

... in analytics and reporting. * Experience building dashboards in Tableau * Experience in Python * Strong communication skills Preferred Qualifications: * Experience with SQL and relational data ...

Python Pyspark

Wilmington, DE ยท On-site

$48.75 - $67.25/hr

Expert proficiency in PySpark, including Spark SQL and other Spark APIs * Testing and debugging ... Strong problem-solving and analytical abilities

Python PySpark

Wilmington, DE ยท On-site

$48.75 - $67.25/hr

... including Spark SQL and other Spark APIs Testing and debugging applications with Python test ... analytical abilities

Python Pyspark

Wilmington, DE ยท On-site

$48.75 - $67.25/hr

... including Spark SQL and other Spark APIs Testing and debugging applications with Python test ... analytical abilities

Intermediate Operations Research Analyst

Aberdeen, MD ยท On-site

$105K - $125K/yr

Business Analysis (functional and technical) Main location: United States, Maryland, Aberdeen ... Proficiency with analytical tools such as R, Python, MATLAB, SAS, or optimization/modeling software

Within this division, the Analytics and Business Strategy Execution team leverages data to create ... Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational databases ...

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Business Analyst Sql R Python information

See Newark, DE salary details

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How much do business analyst sql r python jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for business analyst sql r python in Newark, DE is $46.37, according to ZipRecruiter salary data. Most workers in this role earn between $34.76 and $58.03 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Credit Strategy Underwriting Analyst

College Avenue Student Loans LLC

Newark, DE โ€ข On-site

Full-time

Posted 19 days ago


Job description


Position Summary

We are seeking a highly analytical and technically skilled Credit Strategy Analyst to join our Credit team. This role will focus on the analytics and execution of underwriting strategies that balance growth, risk, and customer experience. The ideal candidate will have a strong foundation in quantitative analysis and data science, hands-on experience using tools such as SQL, Python, SAS, or R, and a background in financial services, fintech, or consumer lending. This position requires the ability to translate complex data into actionable insights and executable strategies within a regulated credit environment.

Responsibilities:

  • Analyze credit performance and portfolio trends to generate insights that inform underwriting strategies.
  • Collaborate with cross-functional teams to translate strategies into accurate production execution.
  • Design, implement, and evaluate experiments (A/B testing, champion/challenger) to measure and optimize outcomes.
  • Track and report key performance metrics, building dashboards and reports for leadership visibility.
  • Monitor strategy execution in real time and post-deployment to ensure accuracy, compliance, and alignment with business objectives.
  • Maintain clear documentation of strategy design, execution, and performance results.

Qualifications & Competencies:

  • Bachelorโ€™s degree in Math, Economics, Statistics, Data Science, Finance, or a related field.
  • 2โ€“5 years of experience in analytics within financial services, fintech, or consumer lending.
  • Strong proficiency in SQL, Python, SAS, R, or similar analytical tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Collaborative mindset with cross-functional teams.
  • Attention to detail and a commitment to data integrity.

Location

This position is based out of our Wilmington DE office. It is required to be in-office three days a week (Monday, Tuesday, Wednesday), with the option of working remotely on Thursday and Friday.