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Data Analytics Jobs in Keene, NH (NOW HIRING)

Analyze existing data sources, including nonconforming product, scrap, rework, turnbacks, customer returns, and related quality records, to identify trends, gaps, weaknesses, and opportunities for ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Supply Chain Analyst

Keene, NH · On-site

$50K - $63K/yr

The Analyst Supply Chain is also accountable for inventory status data, data integrity and order management. S/he will work collaboratively with the Supply Chain team and cross-functionally with the ...

The Analyst Supply Chain is also accountable for inventory status data, data integrity and order management. S/he will work collaboratively with the Supply Chain team and cross-functionally with the ...

Supply Chain Analyst

Keene, NH · On-site

$50K - $63K/yr

The Analyst Supply Chain is also accountable for inventory status data, data integrity and order management. S/he will work collaboratively with the Supply Chain team and cross-functionally with the ...

The Analyst Supply Chain is also accountable for inventory status data, data integrity and order management. S/he will work collaboratively with the Supply Chain team and cross-functionally with the ...

Sr Financial Analyst

Keene, NH · On-site

$84K - $105K/yr

Load planning data into financial planning tools and ensure correct and consistent representation in planning and reporting environments. * Develop and provide analysis throughout planning processes ...

Sr Financial Analyst

Keene, NH · On-site

$84K - $105K/yr

Load planning data into financial planning tools and ensure correct and consistent representation in planning and reporting environments. * Develop and provide analysis throughout planning processes ...

Senior Internal Auditor

Keene, NH

$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 ...

Sr Financial Analyst

Keene, NH · On-site

$84K - $105K/yr

Load planning data into financial planning tools and ensure correct and consistent representation in planning and reporting environments. * Develop and provide analysis throughout planning processes ...

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Data Analytics information

See Keene, NH salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data analytics in Keene, NH is $54.21, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $61.39 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What job categories do people searching Data Analytics jobs in Keene, NH look for?

The top searched job categories for Data Analytics jobs in Keene, NH are:

What cities near Keene, NH are hiring for Data Analytics jobs?

Cities near Keene, NH with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Keene, NH as of August 2026, with employment types broken down into 67% Full Time, 20% Part Time, and 13% Temporary. Highlights an 100% In-person job distribution, with an average salary of $112,753 per year, or $54.2 per hour.

Data Engineering and Analytics Manager

Corning

Keene, NH • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Corning rating

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

65th of 545 rated manufacturers


Job description

Requisition Number: 77751

The company built on breakthroughs. 
Join us.       
     

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. 

Come break through with us. 


The Specialty Materials segment manufactures products that provide more than 150 material formulations for glass, glass ceramics and fluoride crystals to meet demand for unique customer needs. Consequently, this segment operates in a wide variety of commercial and industrial markets that include display optics and components, semiconductor optics components, aerospace and defense, astronomy, ophthalmic products, telecommunications components and cover glass that is optimized for portable display devices.

Scope of the Role

The Division Data Engineering and Analytics Manager is responsible for leading the design, delivery, and ongoing improvement of the division's data engineering and analytics foundation. This role will oversee the development and support of scalable data pipelines, cloud-based data platforms, and curated data assets that enable trusted reporting, analytics, and future advanced analytics use cases.

This leader will play a critical role in stabilizing and maturing the current data engineering and Databricks environment, establishing delivery standards, and strengthening the data foundation needed to support business insights and decision-making. The role will also help shape and enable broader analytics capabilities by partnering with business, functional, and technology teams to ensure data is reliable, governed, and fit for use.

The ideal candidate combines strong data engineering and platform experience with people leadership, delivery discipline, and an understanding of how data supports analytics, business performance, and future advanced analytics opportunities.

This role reports to the Senior Manager, Division Data & Analytics (Division Data Office) and works closely with business stakeholders, functional partners, enterprise IT, analytics teams, and data governance partners.

Key Responsibilities

Data Engineering and Platform Leadership

  • Lead the day-to-day management, support, and enhancement of the division's data engineering environment, including Databricks and related data platform capabilities.

Analytics Enablement

  • Build and maintain curated, trusted, and reusable data assets that support reporting, dashboards, self-service analytics, and business intelligence.

Team Leadership and Delivery Management

  • Lead, coach, and develop data engineering resources, including internal team members and partners as applicable.

Data Quality, Governance, and Controls

  • Drive platform data governance partnering with business, and functional stakeholders to improve data quality, lineage, controls, and ownership across the data lifecycle.

Future-State Analytics and Advanced Analytics Enablement

  • Help build the data foundation required to support future advanced analytics, data science, and AI use cases.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
  • 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
  • 2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment.
  • Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
  • Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
  • Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar.
  • Experience working with BI, reporting, or analytics teams to support trusted data consumption.
  • Strong understanding of data quality, governance, controls, and metadata/lineage concepts.
  • Demonstrated ability to work across business and technology teams and communicate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
  • Experience with cloud data ecosystems such as Azure, AWS, or GCP.
  • Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
  • Experience supporting enterprise-scale reporting and dashboard environments.
  • Experience implementing or supporting data governance practices and operating models.
  • Knowledge of DevOps, DataOps, CI/CD, and automated testing practices for data pipelines.

This position does not support immigration sponsorship.  


The range for this position is  $126,898.00 - $174,486.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life. 

Corning offers you the total package. 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.


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