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Weekend Python Data Analyst Jobs in Vermont (NOW HIRING)

Digital Analyst Internships

Burlington, VT · On-site

$97K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Montpelier, VT · On-site

$99K - $117K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Rutland, VT · On-site

$100K - $119K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Barre, VT · On-site

$96K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Colchester, VT · On-site

$98K - $116K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Essex Junction, VT · On-site

$100K - $118K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Data Engineer

Burlington, VT · On-site

$112K - $135K/yr

... analyzing large data sets. The role involves working on complex investigations and contributing to ... Python, Java, etc) for data processing and ETL scripting • Proficiency in SQL including complex ...

Data Scientist

Montpelier, VT · On-site

$46.15 - $66.67/hr

Provide support for all departments with analytical and predictive needs. * Prepare needed ... Strong skills in Python & SQL. Key Measurement Metrics * All models in production outperform the ...

Data Engineer

Burlington, VT · On-site

$114K - $138K/yr

... analyzing, modeling, and explaining large data in support of complex investigations. Success in ... Proficiency in at least one programming language (Python, Java, R, etc), including creating ...

Data Engineer

Burlington, VT · Hybrid

$114K - $138K/yr

... analyzing, modeling, and explaining large data in support of complex investigations. Success in ... Proficiencyin at least one programming language (Python, Java,R,etc),includingcreating programs for ...

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Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Vermont? The most popular types of Python Data Analyst jobs in Vermont are:
Senior Analyst, Data Projects

Senior Analyst, Data Projects

National Life Group

Montpelier, VT • On-site

$86K - $109K/yr

Full-time

Posted 19 days ago


National Life Group rating

9.0

Company rating: 9.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

35th of 261 rated insurance


Job description

Job Summary:
National Life Group is one of America’s fastest-growing insurance companies, focused on providing stability to families since 1848. The Senior Analyst role is pivotal in leading data-driven initiatives, particularly for a large-scale ERP implementation and supporting finance data migrations to cloud platforms.
Responsibilities:
• Oversee project scope and prioritization from discovery to delivery of data products, especially in the finance data domain.
• Develop and manage a thoughtful and integrated project roadmap and backlog.
• Present updates on incremental project deliveries to business partners and leadership audiences.
• Lead the daily work of a cross-functional project team including data engineers, data architects, quality engineers, project managers, and business analysts.
• Manage timelines, costs, resources, and scope as key measures of success.
• Build team relationships to foster growth and mentorship.
• Work closely with cross-functional teams (technical and non-technical) to understand business requirements, prioritize tasks, and deliver high-value data and analytics products.
• Manage stakeholder relationships to effectively balance business needs with technical capabilities.
• Collaborate with non-technical stakeholders to define project needs and effectively translate the product vision to technical teams.
• Provide strategic guidance to business partners throughout the data lifecycle to promote a data-driven decision-making culture.
• Contribute to the larger Data Team vision to enable data as a strategic asset across the organization.
• Implement and champion data governance practices throughout projects to ensure data integrity, quality, and reliability across all data product deliveries.
Qualifications:
Required:
• Bachelor's degree in Math, Economics, Engineering, Computer Science, or a related quantitative field.
• 10+ years of combined post-secondary education and relevant work experience, with a focus on product management, data governance, data management, or data analytics.
• 8+ years of hands-on experience leading and executing enterprise projects in a product owner/manager role, with a proven track record of delivering on time, on budget, in scope, and with high adoption of final product. Data cloud migration experience is a plus.
• Strong communication skills, with the ability to explain complex technical concepts and solutions to non-technical audiences clearly and effectively.
• Proven ability to work across cross-functionally across departments and communicate with various stakeholders to gather requirements and drive project success.
• Analytical mindset with experience in solving complex problems and deriving effective solutions. Ability to independently navigate ambiguity in decision making.
Preferred:
• Prior involvement in large-scale ERP transformations, especially managing data dependencies, cross-functional workflows, and other supporting data and reporting activities.
• Hands-on experience with Databricks or other cloud-based data analytics platforms (e.g., Snowflake, AWS Redshift).
• Experience in data modeling and designing data structures to optimize business insights and value.
• Experience using business intelligence tools like Tableau and Alteryx for data visualization and analysis.
• Proficiency in coding languages such as SQL, Python, Pyspark, etc.
Company:
National Life Group offers life insurance, and annuity products to help individuals, families and businesses pursue financial needs. Founded in 2006, the company is headquartered in Montpelier, USA, with a team of 1001-5000 employees. The company is currently Late Stage.