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Business Analyst Sql R Python Jobs in Springfield, MA

Infosys

AI Engineer

Hartford, CT · On-site

... business metrics. • Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python. • ...

Dellfor Technologies

SQL developer

Hartford, CT · On-site

$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 ...

ACI Infotech

SENIOR .NET SSIS SSRS Lead

Hartford, CT · On-site

NET SSIS/SSRS LEAD Location: Hartford, CT Duration: 1+ Years Contract Mode: Hybrid - ( Candidate ... Business Analyst and users to validate requirements. 11. Implementing solutions to integrate ...

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Business Analyst Sql R Python information

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$71

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 Springfield, MA is $47.27, according to ZipRecruiter salary data. Most workers in this role earn between $35.43 and $59.18 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
AI Engineer

AI Engineer

Infosys

Hartford, CT • On-site

Full-time

Re-posted 27 days ago

Infosys rating

7.4

Company rating: 7.4 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

107th of 210 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, and they are seeking an AI Engineer to join their Data and Analytics unit. The role involves participating in data extraction and model development, collaborating with teams to operationalize analytics tools, and ensuring data quality and performance optimization.
Responsibilities:
• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.
Qualifications:
Required:
• Strong programming skills in Python
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain
• Expertise in Generative AI, including: RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Data Engineering & pipelines (ETL/ELT, streaming, batch processing)
• Proficiency with Microsoft Azure AI ecosystem
• Experience with Databricks (Lakehouse, ML workflows)
• Strong understanding of Snowflake and Data Cloud architectures
• Knowledge of Conversational AI architecture and NLP systems
• Familiarity with CI/CD and MLOps practices
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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