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Senior Manager Data Analytics Jobs in Vermont (NOW HIRING)

Green Mountain Transit

Transit Data Analyst

Burlington, VT · On-site

$53K - $63K/yr

Description and Essential Functions Responsible for collecting, analyzing, and managing transit data to support service planning, operational performance, and organizational decision-making across ...

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All JobsData Analytics JobsSenior Manager Data Analytics JobsSenior Manager Data Analytics Jobs in Vermont

Senior Manager Data Analytics information

See Vermont salary details

$43.1K

$123.2K

$197.6K

How much do senior manager data analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior manager data analytics in Vermont is $123,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $140,900.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Vermont?

For Senior Manager Data Analytics jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Vermont look for?

The top searched job categories for Senior Manager Data Analytics jobs in Vermont are:

What cities in Vermont are hiring for Senior Manager Data Analytics jobs?

Cities in Vermont with the most Senior Manager Data Analytics job openings:

Senior Manager Data Analytics jobs near you

Senior Data Architect

Vermont Information Processing

Colchester, VT • On-site

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago

Job description

Annual Compensation: $110,000 - $120,000
Position Type: Full Time, Hybrid (3 Days on-site in Colchester, VT)
VIP is seeking a Senior Data Architect with expertise in dimensional modeling to design, implement, and optimize our enterprise data warehouse and analytics solutions. This role is instrumental in helping beverage distributors, suppliers, and retailers make data-driven decisions through scalable and high-performance data architectures. We are looking for a motivated self-starter who enjoys collaboration and innovation.
Primary Responsibilities:
  • Design and document Kimball-style data warehouse solutions
  • Design and document OLTP database solutions
  • Identify areas for improvement in current systems
  • Develop systems to ensure data security
  • Analyze, publish and present system information
  • Coordinate and communicate with other teams to reach project milestones and deadlines

Requirements:
  • BS / MS in Computer Science or related field
  • 5+ years experience in information technology with increasing responsibility in understanding and designing complex and enhancing existing relational database systems.
  • Proven track record of successfully managing all stages of large-scale database projects.
  • Strong understanding of Kimball-style dimensional modeling, including fact and dimension table design, slowly changing dimensions (SCDs), star and snowflake schemas, and best practices for optimizing ETL processes in a data warehouse environment
  • Ability to function well in a fast-paced, dynamic environment with competing priorities
  • Strong ability to translate complex business needs into scalable data models.
  • Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders.
  • Ability to explain complicated concepts in simple terms
  • Excellent attention to detail
  • Experience with database management software
  • Knowledge of SQL Server, Snowflake and DB2 is a plus!

Benefits Include:
  • Health Insurance
  • Vision and Dental Expense Reimbursement
  • 401k Match & Employer Contributions
  • Life and Disability Insurance
  • Health Savings and Flexible Spending Accounts
  • Paid Parental Leave
  • Discounted Gym Memberships
  • Combined Time Off and Floating Holidays
  • Flex and Hybrid Schedules
  • On-site Child Care Center (VT)
  • On-site Fitness Center (VT)
  • On-site Health Clinic (VT)

Compensation is based on a variety of factors including skills, experience and industry background. The range listed here represents our best faith estimate for the role.
All full time job offers are contingent upon passing a pre-employment drug screening and background check.

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