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Contract Python Data Analysis Jobs in Connecticut

... analysis, and accelerate insight generation. * Recommend improvements to existing data warehouse ... Proficiency or strong coursework experience in SQL required and Python/Spark preferred with the ...

... analysis, and accelerate insight generation. * Recommend improvements to existing data warehouse ... Proficiency or strong coursework experience in SQL required and Python/Spark preferred with the ...

To be considered, you will need a Bachelor's Degree in STEM with a focus on data analysis and ... or Python. · Define and review test plans to ensure coverage of operating envelope when testing ...

To be considered, you will need a Bachelor's Degree in STEM with a focus on data analysis and ... or Python. • Define and review test plans to ensure coverage of operating envelope when testing ...

Ridgefield, CT Contract Duration: 12-24 months Rate: Negot Responsibilities: * Excellent employment ... Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets ...

Support evolving data needs and respond to ad-hoc analysis requests Qualifications Required: * High ... Experience with additional tools such as SQL, Python, Power BI or SharePoint Skills * Strong ...

Showing results 21-40

Contract Python Data Analysis information

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Connecticut?

The most popular types of Python Data Analysis jobs in Connecticut are:

What are popular job titles related to Contract Python Data Analysis jobs in Connecticut?

For Contract Python Data Analysis jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Connecticut look for?

The top searched job categories for Contract Python Data Analysis jobs in Connecticut are:

What cities in Connecticut are hiring for Contract Python Data Analysis jobs?

Cities in Connecticut with the most Contract Python Data Analysis job openings:

Data and Analytics Intern

Farmington, CT • Hybrid

$26 - $28/hr

Full-time

Posted 9 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

About This Internship

Arch's 8-week summer internship program offers students a unique opportunity to gain hands on experience in the insurance industry. It provides challenging learning experiences that serve as a foundation for interns to explore their career choices and to develop professional skills. Working alongside some of the most talented members of the specialty insurance industry, interns will gain relevant expertise in various aspects of the field, participate in learning activities and receive ongoing feedback.

About This Role

  • Collaborate with the Data and Analytics team and business partners on projects that support critical business priorities.

  • Design ETL processes, develop data pipelines, and support the implementation of validation controls to help ensure data accuracy and reliability.

  • Integrate data from source systems, databases, APIs, and third-party applications into the segment data warehouse based on business needs.

  • Support data quality activities by applying validation, profiling, and cleansing techniques to help ensure data is accurate, complete, and fit for business use.

  • Design and develop Power BI reports and dashboards that provide meaningful insights into business operations.

  • Troubleshoot and help resolve issues related to data sources, ETL processes, data pipelines, and data storage.

  • Stay current with emerging technologies, trends, and best practices in data warehousing, analytics, cloud platforms, and responsible AI-assisted development.

  • Explore and apply AI-enabled tools to improve productivity, automate repeatable tasks, support data quality analysis, and accelerate insight generation.

  • Recommend improvements to existing data warehouse and analytics solutions and support implementation of new capabilities that leverage modern technologies.

Qualifications

  • Actively completing a bachelor's degree in data Analytics, Data Science, Computer Engineering, Computer Science, Information Systems, Mathematics, Statistics, or a related program.

  • Minimum 3.0 GPA or higher.

  • College level - Sophomore, Junior or Senior student with graduation dates between December 2027 and May 2029.

  • Entrepreneurial spirit along with the desire to be a continuous learner.

  • Basic understanding of data warehousing, ETL concepts, business intelligence, and data integration patterns required.

  • Exposure to tools or platforms such as Snowflake, Databricks, Power BI, or similar database and ETL and reporting tool technologies strongly preferred.

  • Curiosity and foundational knowledge of AI, machine learning, prompt engineering, or AI-assisted analytics tools.

  • Familiarity with CI/CD concepts and software development lifecycle practices

  • Proficiency or strong coursework experience in SQL required and Python/Spark preferred with the ability to use AI-assisted tools responsibly to improve development, analysis, and problem-solving outcomes required.

  • Team player who collaborates effectively.

  • Self-starter who can work independently and deal effectively with multiple tasks/priorities in a fast-paced environment.

Location & Work Arrangement

  • The program dates are June 2, 2027 - July 23, 2027.

  • This position is classified as a hybrid position. You will work 4 days onsite and 1 days from home.

  • This position is located in Farmington, CT.

  • Relocation and housing assistance is not provided for this role.

Timeline

Arch internship positions will be unposted when filled.

Pay

For individuals assigned to or hired to work in Farmington, CT, the hourly rate is $26-28 as of the time of posting. The breadth in the range exists to accommodate students in specialized programs such as actuarial candidates and graduate students. Any actual rate offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, along with the education & qualifications of the candidate. The above range may be modified in the future. Intern position is eligible for select Arch benefits.

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Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

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