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Data Analyst Jobs in Lebanon, NH (NOW HIRING)

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Data Analyst information

See Lebanon, NH salary details

$33.9K

$82.5K

$135.8K

How much do data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analyst in Lebanon, NH is $82,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Lebanon, NH?

The most popular types of Data Analyst jobs in Lebanon, NH are:

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

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst 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 $82,506 per year, or $39.7 per hour.

Process Improvement Engineer - Claremont, NH

Michael Page USA

Claremont, NH • On-site

$120K/yr

Other

Posted 6 days ago

Job description

An exciting opportunity for an Operations Data Analyst to support business performance through advanced analytics, reporting, and operational insights. This role offers the chance to work closely with cross-functional teams, develop impactful dashboards, and drive continuous improvement initiatives across a dynamic operations environment. Client Details Our client is a growing organization committed to operational excellence, continuous improvement, and data-driven decision-making. The business recognizes the value of analytics in improving performance and invests in tools, processes, and talent that support more effective operational outcomes. Employees work in a collaborative environment where operations, supply chain, quality, engineering, finance, and customer-facing teams partner closely to solve business challenges and drive measurable results. The organization encourages innovation, critical thinking, and proactive problem solving, giving employees the opportunity to make a meaningful impact across multiple areas of the business. This is an excellent opportunity for a data-driven professional looking to work on high-visibility projects, influence key business decisions, and build valuable relationships across a diverse operational landscape. Description Analyze manufacturing, supply chain, quality, maintenance, inventory, customer service, and operational data to uncover trends, risks, and improvement opportunities. Develop, maintain, and enhance dashboards, scorecards, KPIs, and operational reports that support business decision-making. Partner with operations, supply chain, planning, engineering, quality, maintenance, finance, and customer-facing teams to understand business needs and deliver actionable insights. Validate data accuracy, investigate discrepancies, and maintain documentation related to data definitions, reporting logic, and business rules. Support continuous improvement initiatives by identifying root causes, quantifying opportunities, and measuring the impact of operational changes. Provide data-driven recommendations related to capacity planning, labor utilization, inventory management, scheduling, supplier performance, and operational efficiency. Create presentations and reporting materials that clearly communicate findings to both technical and non-technical stakeholders. Improve reporting processes, analytics workflows, and data collection practices to support better business visibility and decision-making. Monitor operational performance metrics and identify opportunities to improve safety, quality, delivery, productivity, and customer satisfaction. Profile Bachelor's degree in Operations Management, Supply Chain, Engineering, Business Analytics, Data Analytics, Statistics, Information Systems, or a related discipline. Equivalent practical experience will also be considered. 3+ years of experience supporting data analysis, operations analytics, manufacturing analytics, supply chain analytics, quality analytics, industrial engineering, or related business functions. Experience working within manufacturing, supply chain, distribution, planning, quality, customer operations, or other operational environments. Advanced Excel skills and experience using business intelligence and visualization tools such as Power BI, Tableau, or similar platforms. Experience extracting, transforming, and analyzing data using SQL or similar querying tools. Strong understanding of operational processes, performance metrics, reporting methodologies, and continuous improvement concepts. Ability to translate complex data into clear business recommendations that support informed decision-making. Strong analytical thinking, attention to detail, and problem-solving skills. Experience supporting Tableau reporting environments, ERP systems, manufacturing systems, or operational databases is highly desirable. Familiarity with Lean Manufacturing, Six Sigma, operational excellence methodologies, or process improvement initiatives is preferred. Job Offer Opportunity to play a key role in driving operational performance through data and analytics. High-visibility position with exposure to operations leadership and cross-functional stakeholders. Diverse responsibilities spanning manufacturing, supply chain, quality, inventory, customer service, and business operations. Ability to influence important business decisions through actionable insights and performance reporting. Collaborative environment focused on continuous improvement, innovation, and operational excellence. Opportunity to expand technical expertise in data visualization, operational analytics, reporting technologies, and process improvement methodologies. Meaningful ownership of projects that directly improve efficiency, productivity, quality, and customer outcomes. Competitive compensation and benefits package. Apply now! 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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