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Development Analyst Jobs in Connecticut (NOW HIRING)

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Job Title AI/ML Development Analyst Job Summary Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning ...

ISO New England, Inc.

R&D Analyst/Engineer

Windsor, CT · On-site

$135K - $180K/yr

Planning Services Development & Solutions develops the tools, modeling frameworks, and market design analytics that enable ISO New England and regional stakeholders to plan for resource and energy ...

COCC

Application Analyst II - Req# 597

Southington, CT · On-site

$70K - $105K/yr

Robust employee development programs aligned with career pathing objectives * Cutting-edge training ... Strong analytical and problem solving skills with attention to detail * Ability to communicate ...

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Development Analyst information

See Connecticut salary details

$35.7K

$71.3K

$106.1K

How much do development analyst jobs pay per year?

As of Jun 8, 2026, the average yearly pay for development analyst in Connecticut is $71,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $88,500.00 per year, depending on experience, location, and employer.

What is the difference between Development Analyst vs Financial Analyst?

AspectDevelopment Analyst
Primary FocusProject development, program planning, and implementation
Required SkillsProject management, industry knowledge, data analysis
Work EnvironmentCorporate, nonprofit, or government agencies involved in development projects
Common CertificationsNone specifically required, but certifications like PMP can be beneficial

While Development Analysts focus on planning and executing development projects, Financial Analysts primarily analyze financial data to guide investment and budgeting decisions. Both roles require analytical skills and industry knowledge, but Development Analysts are more involved in project management and development initiatives, whereas Financial Analysts concentrate on financial performance and market analysis.

What are the key skills and qualifications needed to thrive as a Development Analyst, and why are they important?

To thrive as a Development Analyst, you need strong analytical skills, proficiency in data analysis, and a relevant degree such as finance, economics, or business. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and advanced Excel, as well as certifications in analytics or project management, are typically required. Excellent communication, critical thinking, and problem-solving abilities help you translate complex data into actionable insights for stakeholders. These skills ensure effective decision-making and drive organizational growth through informed strategy and process improvements.

How does a Development Analyst typically contribute to cross-functional project teams within an organization?

Development Analysts play a crucial role in cross-functional project teams by gathering and analyzing data, identifying trends, and translating business requirements into actionable insights. They often collaborate closely with stakeholders from IT, finance, operations, and management to ensure project goals align with organizational strategy. Effective communication and problem-solving skills are essential, as Development Analysts must bridge gaps between technical and non-technical team members. This collaborative environment offers exposure to multiple departments and can open pathways for career advancement in project management or business analysis.

What are Development Analysts?

Development Analysts are professionals who evaluate data, processes, and programs to support organizational growth and strategic planning. They collect and analyze information to identify trends, assess project feasibility, and recommend improvements for efficiency and effectiveness. Their work often involves collaborating with different departments, preparing reports, and helping management make informed decisions to drive development initiatives. Development Analysts are found in a range of industries, including business, government, and non-profit organizations.
What are popular job titles related to Development Analyst jobs in CT? For Development Analyst jobs in CT, the most frequently searched job titles are:
Development Analyst jobs near you
Infographic showing various Development Analyst job openings in Connecticut as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $71,333 per year, or $34.3 per hour.
AI/ML Development Analyst

AI/ML Development Analyst

Commonfund

Norwalk, CT • On-site

$100K - $150K/yr

Full-time

Posted 28 days ago

Job description

Job Title

AI/ML Development Analyst

Job Summary

Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development. Recent college grads with this experience through their degree program are welcome to apply.

This role involves building intelligent systems, developing data-driven models, and integrating AI capabilities into scalable applications for business processes at Commonfund. Candidates should have a strong analytical mindset and an interest in applying AI/ML solutions within the financial domain.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI-driven solutions for business and financial applications.
  • Build and implement Agentic AI systems, including autonomous workflows and multi-agent architectures.
  • Develop and maintain data pipelines, model training workflows, and inference services.
  • Analyze large datasets to extract insights and build predictive or decision-support models.
  • Design and implement APIs and web-based interfaces for AI/ML solutions.
  • Write efficient and scalable code using Python and related frameworks.
  • Use SQL to query, transform, and analyze structured data.
  • Collaborate with cross-functional teams including product, engineering, and data teams to integrate AI capabilities into applications.
  • Evaluate new AI/ML techniques, frameworks, and research for potential adoption.
  • Document models, algorithms, and system architectures.
  • Ensure solutions follow best practices for security, scalability, and reliability.

Required Qualifications

  • Bachelor’s or Master’s degree in Mathematics, Data Science, Computer Science with Artificial Intelligence, or a related field.
  • Strong experience with Python programming.
  • Minimum one year hands-on experience developing machine learning or AI-based solutions.
  • Experience building or working with Agentic AI systems or autonomous AI workflows.
  • Strong knowledge of SQL and database systems.
  • Experience with web development frameworks or API development.
  • Experience with ML frameworks as TensorFlow, PyTorch, or Scikit-learn
  • Strong analytical, problem-solving, and debugging skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

  • Experience working with financial data and developing financial applications.
  • Experience with LLM integration, prompt engineering, and AI orchestration frameworks.
  • Knowledge of data engineering pipelines and cloud platforms (AWS, Azure).
  • Experience building production-grade AI applications.

Technical Skills

Programming & Development

  • Python
  • SQL
  • REST APIs
  • Web development (e.g., Svelte, FastAPI, or similar)
  • Experience with C# programming and other Microsoft tools preferred.

AI/ML

  • Machine learning model development
  • LLM applications
  • Agentic AI architecture
  • Data analysis and feature engineering

Tools & Platforms (preferred)

  • Git / version control
  • Cloud platforms (AWS, Azure, GCP)
  • Containerization (Docker)
  • Data visualization tools

Key Competencies

  • Analytical thinking and quantitative reasoning
  • Strong problem-solving ability
  • Curiosity and continuous learning in AI technologies
  • Ability to translate business problems into technical AI solutions
  • Interest in applying AI within the financial and investment domain