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Weekend Python Data Analyst Jobs in Vermont (NOW HIRING)

As a Data Engineer, you'll play a pivotal role in driving the transformation of our data ecosystem ... Proficient in Python. * Experience with dbt and Snowflake. * Strong analytical and problem-solving ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Data Engineer

Burlington, VT · On-site

$114.90K - $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

$114.90K - $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

$114.90K - $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 ...

Data Engineer - Healthcare

Montpelier, VT · Remote

$115.80K - $139K/yr

Proficiency in SQL and Python. * Comprehensive knowledge of Microsoft Office Applications. * Assess complex data sets and conduct root cause analysis. * Experience using data to improve outcomes and ...

Produce conceptual, logical, and physical data models for operational and analytical workloads ... Build ingestion and transformation pipelines in Python and SQL using AWS services - Glue, Lambda ...

The Senior Data Engineer will be responsible for the analysis, design, and development of solutions ... Hands-on experience and knowledge of the Python programming language * Experience processing and ...

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Weekend Python Data Analyst information

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 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 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:

$90/hr

Other

Posted 3 days ago


Job description

How would we describe a career with Agri-Mark/McCadam/Cabot Creamery? More than 100 years of: Farmers, Family, Mission, Purpose, Sustainability, Respect, Integrity, Work Ethic, Teamwork, Pride in Award Winning Products, and Agriculture.
Cabot Creamery achieved B Corp certification in 2012 and became the world's first dairy co-op to do so. This certification demonstrates our commitment to transforming the global economy to benefit all people, communities, and the planet.
The salary range for this position is $90-95k
We offer a hybrid workplace with three days onsite in our corporate office (Tuesday - Thursday) in Waitsfield, VT.
Join a collaborative team that values innovation and continuous learning, with opportunities to lead modernization efforts and shape the future of our analytics platform. As a Data Engineer, you'll play a pivotal role in driving the transformation of our data ecosystem, working on cutting-edge projects that empower business decision-making and support organizational growth. In this dynamic role, you will design, develop, and maintain scalable data pipelines and architectures that empower our organization to harness the full potential of data. Your expertise will enable seamless integration of diverse data sources, optimize data workflows, and support advanced analytics initiatives. We are looking for talent to modernize our data stack as we continue to grow our analytics. If you are passionate about transforming raw data into actionable insights and driving the company towards new opportunities, then this is the position for you.
What you'll be doing:
  • Drive the development, implementation, and optimization of scalable ETL (Extract, Transform, Load) processes to ensure seamless data flow across systems. Utilize SSIS to extract data from diverse sources, transform it for business needs, and load it into modern data warehouses.
  • Lead the creation and maintenance of data models using SSAS to support dynamic business intelligence and reporting initiatives.
  • Design and write advanced SQL queries and stored procedures to extract, manipulate, and deliver actionable insights from our data warehouse and other sources.
  • Champion the building and management of complex SQL databases using Microsoft SQL Server and other relational systems, ensuring top performance, security, and reliability.
  • Lead cross-functional collaborations to deliver impactful data solutions, translating business requirements into effective data strategies.
  • Conduct thorough data analysis to identify trends, anomalies, and valuable insights that inform strategic business decisions.
  • Monitor, optimize, and enhance data pipelines and warehouse performance to maximize data accuracy and availability.
  • Develop and maintain comprehensive documentation for data models, ETL processes, and data flows to support knowledge sharing and continuous improvement.
  • Support model training and analytical activities by providing clean, well-structured datasets and contributing to the ongoing refinement of data models through iterative testing.
  • Champion data quality initiatives across the organization and participate in Agile development cycles to rapidly deliver high-impact solutions with thorough documentation for ongoing maintenance.
What we are seeking:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
  • 3+ years of hands-on experience in data engineering or a related discipline.
  • Proficiency in SSIS, SSAS, SQL Server, and Azure.
  • Strong SQL programming skills with expertise in developing complex queries and stored procedures.
  • Extensive knowledge of SQL databases including Microsoft SQL Server, with experience in Data Warehouse concepts.
  • Ability to design efficient database schemas, optimize query performance, and interpret complex datasets with precision.
  • Familiar with core data engineering concepts: orchestration, idempotency, ETL/ELT.
  • Experience working with Git repositories.
  • Proficient in Python.
  • Experience with dbt and Snowflake.
  • Strong analytical and problem-solving mindset.
  • Outstanding communication and collaboration abilities.
  • Proven ability to work independently and thrive in team environments.
  • Enthusiasm for exploring new technologies and data sets.
  • Meticulous attention to detail, with a commitment to data accuracy and quality.

Agri-Mark is an equal opportunity employer. The company is committed to the fundamental principle of equal opportunity and equal treatment for every qualified prospective and current employee. The company does not discriminate or allow discrimination on the basis of race (including traits historically associated with race including hair texture and protective hairstyles), color, religion, ancestry, national origin, citizenship, genetic information, sex (including pregnancy or pregnancy-related conditions), sexual orientation, gender identity, place of birth, crime victim status, age, physical or mental disability, a positive result from an HIV-related blood test, military or veteran status, or any other classification protected under applicable federal and/or state law.
Agri-Mark complies with all federal, state, and local laws and regulations.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.