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Data Bi Engineer Jobs in Lebanon, NH (NOW HIRING)

Whelen Engineering

Manufacturing Engineer III

NH · On-site

$73K - $95K/yr

Utilize existing or gather new data to guide and implement process and/or design improvements ... bi-directionally. * May provide information to help guide design decisions, such as labor costing ...

GEOKON

Sales Engineer (Regional)

Lebanon, NH · On-site

$120K - $140K/yr

... data logger used in civil, mining and structural engineering projects throughout the world. We ... a bi-annual basis ensuring the highest quality of customer service our customers have come to ...

Hypertherm Associates

Staff Quality Engineer

Lebanon, NH · On-site

$93K - $156K/yr

Staff Quality Engineer Hypertherm Associates is seeking a dynamic and experienced Staff Quality ... Proficient in data analysis and metric development tools like Power Business Intelligence (Power BI)

Hypertherm

Staff Quality Engineer

Lebanon, NH · On-site

$93K - $156K/yr

Staff Quality Engineer Hypertherm Associates is seeking a dynamic and experienced Staff Quality ... Proficient in data analysis and metric development tools like Power Business Intelligence (Power BI)

Azuria Water Solutions

Wetout Manager

Tappan, NY · On-site

... Engineering, and Field Operations. Supervisor Responsibility Oversee line supervisor(s), hourly ... SIOP & Data : Maintain accurate production data and ensure alignment between manufacturing capacity ...

Mascoma Bank

Account Executive

Lebanon, NH · On-site

Stratum enables institutions to orchestrate bi-directional data flows across cores, fintech ... The successful candidate will pull in Sales Engineering and Solutions Architecture when depth is ...

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Showing results 1-20

All JobsData Bi Engineer JobsData Bi Engineer Jobs in Lebanon, NH

Data Bi Engineer information

See Lebanon, NH salary details

$49.9K

$145.4K

$198.9K

How much do data bi engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data bi engineer in Lebanon, NH is $145,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,300.00 and $154,100.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What job categories do people searching Data Bi Engineer jobs in Lebanon, NH look for?

The top searched job categories for Data Bi Engineer jobs in Lebanon, NH are:

What cities near Lebanon, NH are hiring for Data Bi Engineer jobs?

Cities near Lebanon, NH with the most Data Bi Engineer job openings:

Data Bi Engineer jobs near you
Infographic showing various Data Bi Engineer job openings in Lebanon, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $145,373 per year, or $69.9 per hour.

Manufacturing Data Analyst (On-Site)

Whelen Engineering

NH • On-site

Full-time

Posted 5 days ago

Whelen Engineering rating

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

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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