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Senior Python Data Analyst Jobs in Vermont (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency. * Design Data Models: Develop and maintain data marts ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Senior Python Data Analyst information

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

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

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:
What cities in Vermont are hiring for Senior Python Data Analyst jobs? Cities in Vermont with the most Senior Python Data Analyst job openings:
Senior Analyst, Data Projects

Senior Analyst, Data Projects

National Life Group

Montpelier, VT • On-site

$86K - $109K/yr

Full-time

Posted 10 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.