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Data Analyst Computer Science Jobs in Manchester, NH

Aras

Senior HR Data Analyst

Andover, MA · On-site

$80K - $90K/yr

Bachelor's orMaster'sdegree inHR, Data Science,Financeora relatedfield. * Over 7 years' experience as an analyst or in a similar role within a global company * Deepexpertisein advanced data analysis ...

SynergisticIT

Entry Level Data Scientiest

Manchester, NH · On-site

$16.25 - $21.75/hr

Analyze large amounts of information to identify client trends and patterns * Classifier, Random ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Varsity Tutors

Data Science Tutor

Lawrence, MA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Danaher

Digital Analyst Internships

Concord, NH · On-site

$99K - $117K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Nashua, NH · On-site

$99K - $117K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Derry, NH · On-site

$99K - $117K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

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

Data Analyst Computer Science information

See Manchester, NH salary details

$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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Data Analyst Computer Science jobs near you
Lead - Business Data Analytics, Insights & AI

Lead - Business Data Analytics, Insights & AI

The Crosby Company

Salem, NH • On-site

Full-time

Re-posted 7 days ago

Job description

The Crosby Company is a family office responsible for wealth management and preservation for multiple branches and generations of a single family. The Crosby Company provides middle and back office services to various individual businesses including Curatorial, Foundations, Investments, Trust, Tax and Private Real Estate.

The Crosby Company of New Hampshire (CCNH) Technology team is a trusted service provider and strategic partner to CCNH and its business leaders. Team members possess a deep understanding of enterprise business processes, maintain strong relationships with key stakeholders across the organization, and demonstrate the ability to operate at both strategic and tactical levels.

The Lead Business Analytics, Insights & AI role is a senior-level position responsible for defining, establishing, and executing CCNH’s enterprise data insights strategy. This role will lead the adoption and effective use of a new enterprise data lake built on Microsoft Fabric, ensuring high-quality, trusted, and well-governed data is used consistently across five core business departments.

This role will champion a data-driven culture by enabling advanced analytics, self-service reporting, and actionable insights that improve decision-making, operational efficiency, and strategic outcomes. The Lead Business Analytics & Insights professional will manage a small team of data and reporting analysts, providing technical leadership, coaching, and direction while serving as a key advisor to business and technology leadership.

Successful candidate in this role will be chartered to establish and scale a center of excellence (COEs) for tools like PowerBI for analytics and insights, Synapse for AI and Data Science, and frameworks for Data Lifecycle Management & Operations.

POSITION DUTIES / ACCOUNTABILITIES: Work as a leader of cross-functional technology and business teams to deliver and mature CCNH’s enterprise analytics and insights capabilities.

  • Data & Analytics Strategy
    • Define and own the enterprise data insights strategy, aligning analytics initiatives with business priorities across five departments.
    • Establish a roadmap for analytics maturity, including descriptive, diagnostic, predictive, and prescriptive analytics.
    • Partner with business leaders to translate strategic objectives into measurable analytics use cases.
  • Microsoft Fabric & Data Lake Adoption
    • Lead adoption of the Microsoft Fabric data platform, ensuring consistent design patterns, best practices, and scalable architecture.
    • Oversee integration of structured and unstructured data sources into the enterprise data lake.
    • Ensure semantic models and data products are designed to support enterprise reporting, analytics, and self-service consumption
  • Data Quality, Governance & Trust
    • Champion the use of high-quality, trusted data across the organization.
    • Partner with data governance stakeholders to define and enforce standards related to data quality, lineage, security, and access.
    • Establish data quality monitoring, validation, and remediation practices.
    • Promote consistent definitions, KPIs, and metrics across departments.
  • Analytics Delivery & Enablement
    • Oversee development of executive, operational, and analytical dashboards using Power BI.
    • Enable and scale self-service analytics through governed datasets, documentation, and user enablement.
    • Serve as an analytics thought partner to business leadership, delivering insights that drive measurable business outcomes.
    • Support external audit or regulatory reviews related to analytics, reporting, and data platforms as required.
  • People Leadership & Collaboration
    • Lead, coach, and develop a small team of data and reporting analysts.
    • Set clear priorities, goals, and performance expectations for the team.
    • Foster a collaborative, continuous-learning environment focused on innovation and improvement.
    • Work closely with IT, Finance, Operations, and other business teams to ensure analytics solutions meet enterprise needs.

QUALIFICATIONS:

  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business Analytics, or a related field required.
  • Master’s degree preferred.
  • 8+ years of progressive experience in data analytics, business intelligence, or data platform roles.
  • 3+ years of experience in a technical or analytics leadership role, including direct people management.
  • Demonstrated experience leading enterprise analytics initiatives and data platform adoption
  • Strong expertise in modern data platforms and lakehouse architectures, with hands-on experience in Microsoft Fabric or similar cloud platforms. Familiarity with enterprise data lakes and cloud data platforms, such as Snowflake, is highly desirable.
  • Ability to guide business teams in leveraging LLMs for productivity, insights, and workflow automation.
  • Advanced experience with Power BI, including semantic modeling, performance optimization, and enterprise reporting standards.
  • Proven background in dimensional data modeling and analytics-ready data design.
  • Strong SQL skills; Python experience preferred.
  • Deep understanding of data governance, data quality management, and master/metadata concepts.
  • Ability to translate complex data into clear, actionable insights for executive and non-technical audience.
  • Experience operating in agile delivery environments (Scrum, Kanban); familiarity with Jira or similar tools preferred.
  • Demonstrated ability to influence without authority and drive adoption across multiple departments.
  • Excellent strategic thinking, problem-solving, and prioritization skills.
  • Experience working with integrated enterprise data in cross-functional teams, skillfully evaluating alternative solutions and recommending optimal approaches
  • Data modeling with Power Designer or similar tools would be a plus.
  • Ability to identify, evaluate, and prioritize AI / ML use cases across business domains (predictive analytics, decision intelligence, automation, risk detection, etc.).
  • Understanding of LLM governance, including model safety, bias detection, confidentiality controls, and appropriate enterprise use cases.
  • Results-oriented leader with a strong sense of ownership and accountability.
  • Excellent interpersonal, written, and verbal communication skills.
  • Ability to balance strategic vision with hands-on execution.
  • Comfortable navigating ambiguity and change in a fast-paced environment.
  • Strong collaboration skills and ability to build trusted partnerships across the organization.
  • High attention to detail while maintaining an enterprise-level perspective.
  • Ability and experience in establishing COEs
The Crosby Company Of New Hampshire LLC is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.