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Business Analyst Sql R Python Jobs in Middletown, DE

City National Bank

Data Analyst Senior- VP Python

Newark, DE · On-site

$84K - $106K/yr

Responsibilities : • Develop and optimize SQL queries and stored procedures to extract, transform ... business requirements into robust code and processes • Mentor development teams and foster best ...

Hirekeyz Inc

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

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

TriOptus LLC

Python - Basic

Wilmington, DE · 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 ...

TalentOla

Python PySpark

Wilmington, DE · On-site

$48.75 - $67.25/hr

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

Hirekeyz Inc

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

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

Dellfor Technologies

SQL developer

Dover, DE

$80K/yr

Participates in project stand-up meetings with Business Analysts and IT staff to assess business ... Previous experience with SSIS and SSRS is preferred * Demonstrates initiative and works ...

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Business Analyst Sql R Python information

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

As of Jul 15, 2026, the average hourly pay for business analyst sql r python in Middletown, DE is $44.71, according to ZipRecruiter salary data. Most workers in this role earn between $33.51 and $55.96 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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Business Analyst Sql R Python jobs near you

Sr Agile Business Analyst

Nastech Global

Wilmington, DE • On-site

Full-time

Re-posted 28 days ago

Job description

Job Title: Sr. Agile Business Analyst
Location: Wilmington, DE(Onsite)
Job Type: Full Time
 
Technical Skills:
Data Analysis & Modeling
Strong SQL for querying legacy systems and validating migrations.
Ability to design canonical data models for investor, position, and trade data.
Knowledge of data mapping, transformation rules, and reconciliation techniques. API & Integration Knowledge
Understanding of RESTful APIs, event-driven architecture, and microservices. 
Ability to define API contracts, payload structures, and error handling requirements. 
Familiarity with message queues (Kafka, MQ) for real-time trade/event processing. ETL & Data Migration.
Experience with ETL tools (Informatica, Talend, or similar). 
Knowledge of data quality frameworks, lineage, and governance. Agile Tools & Practices 
Proficiency in Jira and Confluence for backlog management and documentation. 
Writing BDD/Gherkin acceptance criteria for automated testing. 
Familiarity with CI/CD pipelines and DevOps concepts for release readiness. Reporting & Analytics 
Ability to define reporting specs for broker-dealer and regulatory outputs.
Understanding of BI tools (Power BI, Tableau) for dashboards and operational insights. 
Strong Experience in banking/financial services domain (BFSI) is must.