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Functional Data Analyst Jobs in Manchester, VT (NOW HIRING)

Whelen Engineering

Quality Process Engineer

NH · On-site

Analyze existing data sources, including nonconforming product, scrap, rework, turnbacks, customer ... Partner with cross-functional teams to define data requirements, standardize data entry ...

Liberty Utilities Co.

Senior Internal Auditor

Charlestown, NH · On-site

$85K - $106K/yr

... data analytics, documentation and reporting results. This role works closely with functional business teams across the organization. Accountabilities * Performs financial, operational and compliance ...

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All JobsFunctional Data Analyst JobsFunctional Data Analyst Jobs in Manchester, VT

Functional Data Analyst information

See Manchester, VT salary details

$33.4K

$81.3K

$133.8K

How much do functional data analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for functional data analyst in Manchester, VT is $81,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,400.00 per year, depending on experience, location, and employer.

What is a functional data analyst?

A Functional Data Analyst is a professional who specializes in analyzing and interpreting data related to the functionality and performance of business processes or systems. They use statistical methods and data modeling to identify trends, patterns, and insights that help organizations improve efficiency and decision-making. Unlike traditional data analysts, functional data analysts focus specifically on data that reflects the operational aspects of a business, often working closely with stakeholders to translate business needs into actionable data solutions.

What are the key skills and qualifications needed to thrive as a functional data analyst?

To thrive as a Functional Data Analyst, you need strong analytical abilities, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analytics tools (such as SQL, Excel, Tableau, or Python) and experience with business intelligence systems are typically required. Effective communication, problem-solving, and the ability to translate technical findings into actionable business insights are standout soft skills. These competencies enable analysts to extract meaningful information from data, support decision-making, and drive organizational success.

How does a functional data analyst typically collaborate with business stakeholders to ensure data-driven decision making?

A Functional Data Analyst often works closely with business stakeholders to understand their objectives, translate requirements into analytical tasks, and present actionable insights. This involves frequent meetings to clarify goals, iterative feedback on reports or dashboards, and explaining complex data findings in accessible terms. Effective analysts build strong relationships with stakeholders, ensuring that the analyses they deliver are both relevant and impactful for strategic decision making. This collaborative approach not only enhances the value of data-driven insights but also helps align analytics initiatives with organizational priorities.

What cities near Manchester, VT are hiring for Functional Data Analyst jobs?

Cities near Manchester, VT with the most Functional Data Analyst job openings:

Functional Data Analyst jobs near you
Infographic showing various Functional Data Analyst job openings in Manchester, VT as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $81,279 per year, or $39.1 per hour.

Manufacturing Data Analyst (On-Site)

Whelen Engineering

NH • On-site

Full-time

Posted 10 days ago

Whelen Engineering rating

6.4

Company rating: 6.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

137th of 159 rated electronics manufacturers

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.

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