1

Senior Data Analyst Jobs in Springfield, VT (NOW HIRING)

Sr Financial Analyst

Keene, NH · On-site

$84K - $105K/yr

Position OverviewThe Senior Financial Analyst leads the creation and presentation of the company ... Load planning data into financial planning tools and ensure correct and consistent representation ...

Sr Financial Analyst

Keene, NH · On-site

$84K - $105K/yr

Position Overview The Senior Financial Analyst leads the creation and presentation of the company ... Load planning data into financial planning tools and ensure correct and consistent representation ...

Sr Financial Analyst

Keene, NH

$84K - $105K/yr

Position OverviewThe Senior Financial Analyst leads the creation and presentation of the company ... Load planning data into financial planning tools and ensure correct and consistent representation ...

You will also support the Senior Benefits Analysts by gathering data and analytics for key project initiatives. * Full Time, Remote Role You will contribute by: * Managing daily aspects of benefit ...

New

Marketing Specialist Sr- Small Business

Tyson, VT · On-site

$81K - $101K/yr

As a Marketing Specialist Senior within PNC's Marketing organization, you will be based in ... Leverages data and analytics tools to gather insights, evaluate performance, and develop ...

Senior Internal Auditor

Keene, NH · On-site

$83K - $104K/yr

Data analytics, SAP experience a plus. What We Offer As a valued member of our team, you will enjoy competitive pay that reflects your skills and experience. You will also have access to a ...

The Senior Estimator's primary responsibility is to plan, manage/coordinate and estimate projects ... Reviews and incorporates historical data from purchase orders, subcontracts, productivity analysis ...

The Senior Estimator's primary responsibility is to plan, manage/coordinate and estimate projects ... Reviews and incorporates historical data from purchase orders, subcontracts, productivity analysis ...

The Senior Estimator's primary responsibility is to plan, manage/coordinate and estimate projects ... Reviews and incorporates historical data from purchase orders, subcontracts, productivity analysis ...

Business Manager, Own Brands

Keene, NH · On-site

$71K - $100K/yr

Interprets trends and other sales analysis data to assist Sr. Business Manager * Performs increasingly complex interactions with suppliers, taking ownership and including rate negotiation

next page

Showing results 1-20

Senior Data Analyst information

See Springfield, VT salary details

$55.3K

$99.8K

$136.2K

How much do senior data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for senior data analyst in Springfield, VT is $99,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $109,100.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Springfield, VT?

The most popular types of Data Analyst jobs in Springfield, VT are:

What cities near Springfield, VT are hiring for Senior Data Analyst jobs?

Cities near Springfield, VT with the most Senior Data Analyst job openings:

Infographic showing various Senior Data Analyst job openings in Springfield, VT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, and 7% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $99,756 per year, or $48 per hour.

Manufacturing Data Analyst (On-Site)

NH • On-site


Whelen Engineering
Electrical Equipment, Appliance, and Component Manufacturing • 501 - 1,000 employees

6.4

Company rating: 6.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

135th of 159 rated electronics manufacturers

People enjoy working here

Paid breaks

Recommended by parents


Full-time

Posted 8 days ago


Job description

Manufacturing Data Analyst (On-Site)
Department: Office NH
Employment Type: Full Time
Location: Charlestown, NH
Description
We are seeking a Manufacturing Data Analyst with a strong operations background to help turn manufacturing, supply chain, quality, maintenance, inventory, and business process data into actionable insights. This role is ideal for someone who understands how operations work across functions and can translate operational questions into reliable data, clear dashboards, and practical recommendations that improve safety, quality, delivery, cost, productivity, and customer service.
Key Responsibilities
  • Analyze operations, manufacturing, supply chain, quality, maintenance, inventory, and customer service data to identify trends, bottlenecks, risks, and improvement opportunities.
  • Develop and maintain dashboards, reports, and scorecards that track key operational metrics such as throughput, yield, scrap, rework, downtime, labor utilization, cycle time, inventory accuracy, schedule attainment, supplier performance, on-time delivery, and customer service levels.
  • Partner with operations leaders, production teams, supply chain, planning, quality, engineering, maintenance, finance, and customer-facing teams to understand business needs and translate them into data-driven solutions.
  • Validate data accuracy, reconcile discrepancies, and document data sources, definitions, assumptions, and refresh processes.
  • Support continuous improvement initiatives by identifying root causes, quantifying opportunities, and measuring the impact of process changes across operational functions.
  • Use data to support capacity planning, labor planning, production scheduling, inventory optimization, supplier performance management, quality improvement, and operational performance reviews.
  • Create clear, concise presentations and recommendations for operations leadership and cross-functional stakeholders.
  • Help improve data collection processes, reporting standards, and analytics workflows across operations.

Skills, Knowledge and Expertise
  • Bachelor's degree in Operations Management, Supply Chain, Engineering, Business Analytics, Data Analytics, Statistics, Information Systems, or a related field; equivalent practical experience may be considered.
  • 3+ years of experience in data analysis, operations analysis, supply chain analytics, manufacturing analytics, quality analytics, industrial engineering, or a similar role.
  • Hands-on experience working in or closely with an operations environment such as manufacturing, supply chain, distribution, quality, planning, or customer operations.
  • Strong proficiency with Microsoft Excel and data visualization tools such as Power BI, Tableau, or similar platforms.
  • Experience using SQL or other querying tools to extract, transform, and analyze data from databases, ERP systems, MES platforms, quality systems, supply chain systems, or other operational systems.
  • Strong understanding of operational metrics, process flows, constraints, tradeoffs, and continuous improvement concepts.
  • Ability to communicate complex data findings in a clear, practical way for both technical and non-technical audiences.
  • Strong attention to detail, problem-solving ability, and comfort working with incomplete or imperfect operational data.

Preferred Qualifications
  • Advanced proficiency with Microsoft Excel, including formulas, pivot tables, data modeling, data validation, and analysis of large operational data sets.
  • Experience building, maintaining, and improving Tableau dashboards, reports, and visualizations for operations, supply chain, quality, or manufacturing teams.
  • Ability to translate operational questions into clear Tableau views, KPIs, filters, and scorecards that support decision-making at multiple levels of the organization.
  • Experience connecting, cleaning, and validating data from ERP, MRP, MES, CMMS, WMS, CRM, quality management systems, or other operational systems.
  • Familiarity with Lean, Six Sigma, value stream mapping, root cause analysis, standard work, or operational excellence practices.
  • Knowledge of operational performance measures such as OEE, downtime, yield, scrap, labor efficiency, capacity, inventory turns, forecast accuracy, supplier performance, cost drivers, and service levels.
  • Experience supporting multi-site operations or complex environments that include manufacturing, supply chain, quality, or distribution functions.
  • Experience evaluating additional analytics, automation, or reporting tools when supported by a clear business need and return on investment.


What Whelen Engineering employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom