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Data Analyst Jobs in Hudson, NH (NOW HIRING)

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series analysis, Monte Carlo simulation, etc.) * Basic knowledge of descriptive and inferential statistics (e ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series analysis, Monte Carlo simulation, etc.) * Basic knowledge of descriptive and inferential statistics (e ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series analysis, Monte Carlo simulation, etc.) * Basic knowledge of descriptive and inferential statistics (e ...

Walmart

(USA) Senior, Data Analyst

Candia, NH · On-site

$88K - $171K/yr

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

US Tech Solutions

MDM Data Analyst I

Lexington, MA · On-site

MDM Data Analyst I Location: Lexington, MA, 02421 Duration: 12-+ Months Description: The MDM Data Analyst reports to the MDM/Data Governance Manager and is responsible for the end-to-end master data ...

Walmart

(USA) Senior, Data Analyst

Auburn, NH · On-site

$88K - $171K/yr

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

Walmart

(USA) Senior, Data Analyst

East Candia, NH · On-site

$88K - $171K/yr

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

Walmart

(USA) Senior, Data Analyst

Kingston, NH · On-site

$88K - $171K/yr

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

Walmart

(USA) Senior, Data Analyst

East Hampstead, NH · On-site

$88K - $171K/yr

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

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All JobsData Analyst JobsData Analyst Jobs in Hudson, NH

Data Analyst information

See Hudson, NH salary details

$34.4K

$83.6K

$137.5K

How much do data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data analyst in Hudson, NH is $83,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 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 Hudson, NH?

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

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

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Hudson, NH as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,565 per year, or $40.2 per hour.

Data Analyst

Lexington, MA • On-site

MIT Lincoln Laboratory
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about MIT Lincoln Laboratoryexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

The Homeland Protection Systems Group works with the U.S. Government and other stakeholders to develop, assess, and rapidly transition advanced technologies to address emerging national security priorities in the homeland. In recent years, the group has successfully deployed innovative technology solutions to safeguard the National Airspace, population centers, and critical infrastructure. Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware prototyping, our team of analysts, engineers, and technologists applies cutting-edge techniques in data analysis, predictive analytics, and systems engineering to solve complex Homeland Protection problems and strengthen national security.
Job Description
Our group is seeking highly motivated data scientists interested in solving challenging technical problems that impact the real world. As part of an interdisciplinary team, our assistant technical staff support projects through physics-based modeling, data analysis, and algorithm development using a combination of advanced analytics and critical reasoning. Technical staff employ computing environments such as MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in developing high-impact briefings for Government change-makers. Upon joining the group, the candidate will work with an experienced team to learn about the Homeland Protection mission and develop a career path that matches their technical interests.
Requirements
  • Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering, Data Science, Computer Science or similar field)
  • Strong expertise in MATLAB, Python, or Julia
  • Demonstrated proficiency working with data (e.g., collection, curation, transformation, processing, visualization)
  • Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series analysis, Monte Carlo simulation, etc.)
  • Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive inference, etc.)
  • Ability to work well as part of a team and rapidly learn new skills

Desired Requirements
  • Interest in National Security
  • Experience with large, complex datasets (i.e., big data)
  • Experience with source control management tools like Git
  • Experience with machine learning frameworks
  • Strong presentation and communication skills

Recent Graduate Hiring Range: $100,200 - $120,000
Experienced Hiring Range: $100,200 - $150,000
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 42729

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