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Business Analyst Sql R Python Jobs in Plainfield, NJ

Lead end to end business analysis for regional and global Credit Risk initiatives, including ... Conduct data analysis using SQL/Python to support requirements clarification, root cause ...

Ability to read and document data methods in a variety of languages, such as R, Python, SQL * Expert-level data processing skills and experience in any programming language used for data analysis

As a Business Analyst on the Data Science & Insights team, you will translate complex data into ... Python (Pandas, script development), SQL, and data visualization tools (Tableau, PowerBI, Looker ...

GIS Analyst/Engineer

New York, NY · Hybrid

$80 - $120/hr

Collaborate with business and technical stakeholders to translate analytical results into ... Strong programming and analytical skills (Python, SQL, R, or Java). * Expertise in database design ...

GIS Analyst/Engineer

New York, NY · On-site +1

$80 - $120/hr

Collaborate with business and technical stakeholders to translate analytical results into ... Strong programming and analytical skills (Python, SQL, R, or Java). * Expertise in database design ...

GIS Analyst/Engineer

New York, NY · Hybrid

$80 - $120/hr

Collaborate with business and technical stakeholders to translate analytical results into ... Strong programming and analytical skills (Python, SQL, R, or Java). * Expertise in database design ...

Business Analyst

New York, NY · On-site +1

$60 - $65/hr

Job Summary: We are seeking an experienced Business Analyst with 10+ years of experience in ... Strong SQL skills; Python is a plus * Excellent communication skills and stakeholder management ...

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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 23, 2026, the average hourly pay for business analyst sql r python in Plainfield, NJ is $48.66, according to ZipRecruiter salary data. Most workers in this role earn between $36.49 and $60.91 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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Posted 20 days ago


Job description

ABOUT THE JOB: 
The ambition of Global Banking Technology & Operations (GBTO) is to deliver Technology and Operations excellence in our day-to-day services to Global Banking and Investor Solutions (GBIS) Business Units and their clients. Our role is to accelerate and support the transformation of GBIS activities to meet evolving client needs and market opportunities.

Within GBTO, our group (GBTO/XRM/CCR: Cross Risk Metrics - Counterparty Credit Risk) provides calculation engines, regulatory reporting tools, and other applications necessary for successful post-trade risk monitoring & reporting.

This New York City based Business Analyst role contributes to the design, enhancement, and delivery of technology solutions supporting the firm's global Credit Risk functions. This role offers the opportunity to impact strategic risk platforms and participate in the firm's technology modernization initiatives, while working with partners from Risk, Front Office, and other IT teams.

KEY RESPONSIBILITIES

  • Lead end to end business analysis for regional and global Credit Risk initiatives, including requirements elicitation, workflow and process mapping, data discovery, and solution design aligned to strategic objectives.
  • Lead requirements and operating level meetings, ensuring discussions are structured and that decisions & actions are documented and shared.
  • Conduct data analysis using SQL/Python to support requirements clarification, root cause investigations, solution validation, and continuous improvement efforts. 
  • Produce high quality functional documentation, including workflow diagrams, user stories.
  • Design, implement, and test ETL processes using low-code tools or python. 
  • Coordinate and execute testing activities across multiple environments (DEV, UAT, PROD), including functional, regression, integration, and user acceptance testing. 
  • Participate in production deployments by validating changes, conducting smoke tests, and ensuring successful post deployment behavior. 
  • Participate in a rotating production support model across team members, that entails monitoring and conducting initial investigation of production issues and coordination with technical teams and users.
  • Identify opportunities to streamline business processes, enhance system functionality, eliminate recurring issues, and strengthen operational efficiency. 
  • Engage with architects and other subject matter experts to help design robust solutions. 
  • Collaborate proactively with global teams (US, France, India) to ensure cohesive delivery, knowledge exchange, and alignment across time zones. 
  • Contribute to Agile ceremonies and adhere to Agile practices 
     

SKILLS AND QUALIFICATIONS:
Must Have: 

  • Undergraduate or graduate in a relevant field (Computer Science, Engineering, Finance, etc.)
  • Analytical mindset, curiosity, and creative problem solving capabilities. 
  • Excellent organizational, written, and verbal communication skills. 
  • Professional experience in a bank or financial services organization, including direct exposure to risk or capital markets systems. 
  • Experience and familiarity with referential systems and data for Client & Legal Entity, Master Agreements, and Product / Instruments. 
  • Strong SQL skills, including writing multi table joins and queries for analysis and testing. 
  • Ability to write clear documents, structured business communications, and user stories. 
  • Ability to read stored procedures and navigate relational data models. 
  • Experience integrating data from APIs, databases, flat files, XML, and Parquet sources. 
  • Experience implementing ETL / ELT processes.
  • Python scripting experience for automation, troubleshooting, or data manipulation. 
  • Comfort working in Unix/Linux environments (command line analysis, script execution).
  • Hands on experience with Agile/Scrum methodology. 
  • Experience using Jira, Confluence, or similar Agile collaboration tools.
  • Knowledge of Credit Risk and Counterparty Credit Risk concepts.

Nice to Have:

  • Familiarity with Basel III / Basel IV regulatory frameworks. 
  • Experience with Power BI or comparable BI/reporting tools. 
  • Awareness of Azure cloud architecture fundamentals 
  • Ability to support teams through on premise Azure migration activities (inventorying dependencies, documenting data flows, identifying risks). 
  • Exposure to cloud analytics technologies such as Azure Synapse or Databricks. 
  • Familiarity with data lakes, lakehouses, and data warehouse architectures.

Languages: English; French is nice to have

Experience: 5 years of professional experience with at least 2 years in banking or financial services 
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