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Development Analyst Jobs in Connecticut (NOW HIRING)

AI/ML Development Analyst

Norwalk, CT ยท 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 ...

R&D Analyst/Engineer

Windsor, CT ยท 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 ...

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 ...

The incumbent is a major player in the development, analysis, implementation and monitoring of the Annual Operating and Capital Budgets. The person aids in the interpretation of Town and Departmental ...

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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 29, 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 does a development analyst do?

A development analyst evaluates and supports the growth strategies of organizations by analyzing financial data, market trends, and project performance. They often use tools like Excel and data analysis software to identify opportunities and improve development processes, typically working in office environments with strong analytical and communication skills.

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 does a developer analyst do?

A development analyst evaluates and improves software development processes, often analyzing project requirements, coding, testing, and implementing solutions. They may work with programming languages, development tools, and data analysis to support project goals and ensure efficient software delivery.

What jobs will boom in 2026?

Development Analysts are expected to see growth as companies increasingly rely on data-driven decision-making, technology integration, and project management skills. Roles in data analysis, software development, cybersecurity, and digital transformation are projected to expand significantly by 2026, driven by technological advancements and digitalization efforts.

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.

What jobs pay $10,000 a month without a degree?

Development Analysts typically require a degree, but high-paying roles without a degree include sales managers, real estate brokers, and certain tech roles like web developers or cybersecurity specialists, especially with experience and certifications. These jobs often rely on skills, portfolio, or performance rather than formal education and can reach or exceed $10,000 monthly with experience and success.

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 Connecticut? For Development Analyst jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Development Analyst jobs in Connecticut look for? The top searched job categories for Development Analyst jobs in Connecticut are:
AI/ML Development Analyst

AI/ML Development Analyst

Commonfund

Norwalk, CT โ€ข On-site

$100K - $150K/yr

Full-time

Posted 19 days ago


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.


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

  • Bachelorโ€™s or Masterโ€™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