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Data Analyst Computer Science Jobs in Manchester, NH

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Bachelor's degree in data Analytics, Computer Science, Information Systems, or a related field * 2+ years of experience in data quality, data analysis, or similar roles * Strong SAP skills and ...

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Bachelor's degree in data Analytics, Computer Science, Information Systems, or a related field * 2+ years of experience in data quality, data analysis, or similar roles * Strong SAP skills and ...

Varsity Tutors

AP Computer Science A Tutor

Lawrence, MA · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Amphenol TCS

Data Engineer

Nashua, NH · On-site

$115K - $138K/yr

QUALIFICATIONS: * BS in Computer Science, Information Systems, Data Engineering, Data Analytics, Engineering, or related field. * 3-7+ years of experience in data engineering, analytics engineering ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Manchester, NH

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$33.9K

$82.3K

$135.4K

How much do data analyst computer science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analyst computer science in Manchester, NH is $82,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,600.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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What cities near Manchester, NH are hiring for Data Analyst Computer Science jobs? Cities near Manchester, NH with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you
Data Analyst (Local Candidates Only)

Data Analyst (Local Candidates Only)

Associated Grocers Of New England

Pembroke, NH

Full-time

Re-posted 5 days ago

Associated Grocers Of New England rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 48 rated food wholesalers

Job description

** This is an on-site position. The candidate must be local to the Pembroke, NH area or able to reasonably commute here. **

Position Responsibilities/Accountabilities:

  • Excel in understanding complex systems, applying critical thinking in technical environment, and adapting to dynamic team setting with a purposeful, creative, and analytical approach.
  • Support sustainment and enhancement of existing data models.
  • Develop data models and machine learning models.
  • Execute and analyze established metrics and develop new metrics for both leadership visibility and programmatic performance.
  • Contribute to data governance by maintaining accurate product dimensions, metadata and imagery in the planogram systems and database.
  • Collaborate with business units to understand data requirements and translate into technical specifications for visual purposes by developing dashboards and reports using BI tools.
  • Responsible for AD Hoc analysis and reporting for senior leadership and stakeholders.
  • Perform in-depth data analysis to identify trends and patterns for opportunities in process improvement.
  • Performs other duties as assigned.

Essential Skills & Experience

  • Bachelor’s degree in Data Analysis, Computer Science, Statistics, or a related discipline (or equivalent combination of education and practical experience).
  • 3–5 years of relevant experience in data analysis, reporting, or business intelligence preferred.
  • A background in retail, supermarket operations, logistics, or warehouse settings—or a combination—is highly preferred.
  • Strong critical thinking, problem-solving, and analytical skills.
  • Ability to thrive in a dynamic, team-oriented environment.
  • Knowledge of data governance principles, including accuracy, completeness, and maintenance of product-related data (imagery, dimensions, etc.).
  • Experience using business data analytics platforms such as Salient, Nielsen, or similar.
  • Proficiency with Microsoft Office Suite, particularly Excel.
  • Strong SQL skills for querying and managing databases.
  • Hands-on experience with business intelligence tools such as Power BI or similar platforms.

NON-ESSENTIAL SKILLS & EXPERIENCE:

  • Experience in cloud-based data platforms (Azure Synapse, Snowflake etc.)
  • Background in statistical modeling, forecasting or machine learning.

PHYSICAL DEMANDS & WORK ENVIRONMENT:

  • Work is normally performed in a typical office work environment.
  • Limited physical effort required.
  • Limited exposure to physical risk

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