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Senior Manager Data Analytics Jobs in North Springfield, VT

Bensonwood Homes

Senior Structural Engineer

Walpole, NH

$70K - $80K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Perform structural analysis on light wood frame and small mass timber structures, including gravity ... managers, and sales associates Preferred Qualifications * BS in structural, mechanical, or civil ...

Old Dominion Freight Line, Inc.

Database Associate

Walpole, NH · On-site

$57K - $71K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... senior DBAs. Must have a fundamental understanding of database management systems and database ... Help ensure data security by managing access controls and user permissions. * Document processes ...

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All JobsData Analytics JobsSenior Manager Data Analytics JobsSenior Manager Data Analytics Jobs in North Springfield, VT

Senior Manager Data Analytics information

See North Springfield, VT salary details

$45.2K

$115.1K

$169.4K

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

As of Aug 14, 2026, the average yearly pay for senior manager data analytics in North Springfield, VT is $115,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $135,700.00 per year, depending on experience, location, and employer.

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.

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.

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 cities near North Springfield, VT are hiring for Senior Manager Data Analytics jobs?

Cities near North Springfield, VT with the most Senior Manager Data Analytics job openings:

Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics job openings in North Springfield, VT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $115,078 per year, or $55.3 per hour.

Process Improvement Engineer - Claremont, NH

Michael Page USA

Claremont, NH • On-site

$120K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Join a growing operations-focused organization where you'll transform complex operational data into meaningful insights that drive business performance. Client Details Our client is an established industrial manufacturing company that places a strong emphasis on operational excellence, data-driven decision-making, and continuous improvement. With a collaborative culture and a commitment to innovation, the business empowers employees to work closely with leaders across operations, supply chain, manufacturing, quality, and customer-facing functions to solve complex challenges and deliver measurable results. Description The Process Improvement Engineer will: Analyze operational, manufacturing, supply chain, inventory, quality, maintenance, and customer service data to identify trends, risks, inefficiencies, and improvement opportunities. Build, maintain, and enhance dashboards, scorecards, and reporting tools that provide visibility into key business and operational metrics. Partner with operational leaders and cross-functional stakeholders to understand business challenges and develop data-driven solutions. Validate and reconcile data from multiple systems to ensure accuracy and reliability of reporting outputs. Support continuous improvement initiatives through root cause analysis, performance measurement, and quantification of improvement opportunities. Deliver actionable recommendations that support capacity planning, production scheduling, labour planning, inventory management, supplier performance, and operational execution. Create presentations and reports that communicate complex findings in a clear and practical manner. Improve reporting processes, data governance practices, and analytics workflows to enhance efficiency and decision-making. Assist with the development of KPI frameworks and performance measurement standards across operational functions. Support operational reviews by providing timely insights and meaningful analysis. Profile Key requirements include: Bachelor's degree in Business Analytics, Operations, Supply Chain, Engineering, Statistics, Information Systems, or a related discipline. Minimum 3 years of experience in data analytics, operations analytics, manufacturing analytics, supply chain analytics, industrial engineering, or a similar field. Experience supporting operational environments such as manufacturing, distribution, supply chain, planning, quality, or customer operations. Advanced Microsoft Excel skills and proficiency with data visualization platforms such as Power BI, Tableau, or comparable tools. Experience using SQL and other data querying tools to extract and analyze information from multiple business systems. Strong understanding of operational metrics, process improvement methodologies, and performance measurement. Excellent communication and stakeholder management skills. Ability to work with large, complex datasets while maintaining exceptional attention to detail. Experience with ERP, MRP, MES, WMS, CRM, CMMS, or quality management systems is highly desirable. Familiarity with Lean, Six Sigma, root cause analysis, and operational excellence principles is advantageous. Job Offer Competitive compensation Comprehensive benefits package 401K with company match Full health insurance including medical, dental and vision Generous PTO 11 paid holidays Great company culture! Apply today for immediate consideration! MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

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