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Data Analyst Jobs in Manchester, NH (NOW HIRING)

Data Engineer

Nashua, NH ยท On-site

$115K - $138K/yr

The Data Engineer will work closely with the IS Lead, Data Analyst, Business Analyst, corporate IT, implementation partners, functional data owners, and the AI Solutions & Automation team. The role ...

Business Intelligence Analyst

Methuen, MA ยท On-site

$90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Key Responsibilities Data Analytics & Reporting * Develop, automate, and maintain dashboards and performance reports that support distribution, logistics, and product lifecycle teams. * Analyze large ...

Lead workflow and data analysis initiatives to improve operational efficiency and system utilization. * Analyze, document, and communicate system updates and software changes. * Test, validate, and ...

Software Anst Sr

Merrimack, NH ยท On-site

$97K - $164K/yr

You will conduct analysis on data to ensure correct predictive forecasting. You will manage the analytics request process by capturing requirements and are responsible for the creation and ...

Showing results 21-32

Data Analyst information

See Manchester, NH salary details

$33.2K

$80.6K

$132.6K

How much do data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst in Manchester, NH is $80,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,600.00 per year, depending on experience, location, and employer.

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.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

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 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.

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 top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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 most commonly searched types of Data Analyst jobs in Manchester, NH? The most popular types of Data Analyst jobs in Manchester, NH are:
What are popular job titles related to Data Analyst jobs in Manchester, NH? For Data Analyst jobs in Manchester, NH, the most frequently searched job titles are:
What cities near Manchester, NH are hiring for Data Analyst jobs? Cities near Manchester, NH with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Manchester, NH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,602 per year, or $38.8 per hour.

Salesforce/Seismic Administrator Data Analyst

Dexian DISYS

Bedford, NH โ€ข On-site

Other

Posted 15 days ago


Job description


JOB DESCRIPTION:
Location : Merrimack, NH / Covington, KY


Duration : 12+ months


We are seeking a highly skilled Systems Analyst with hands-on Salesforce Administrator experience and Seismic platform knowledge with a strong foundation in data analytics. This role requires an understanding how Seismic fits into the sales enablement ecosystem and how LiveDocs automates personalized content generation. LiveDocs uses templates, business rules, CRM data, and dynamic content to generate proposals, presentations, reports, and other customer-facing documents. Passionate about the strategic use of data to drive business results. The ideal candidate thrives in a fast-paced, agile environment and brings a customer-centric mindset to every decision.


The Expertise and Skills You Bring



  • Bachelor's or equivalent.

  • Salesforce.com Administrator certification desired.

  • 2+ years of application or production support experience.

  • 3+ years of relevant experience applying systems analysis methodologies, including requirements definition, data analysis, and data mapping.

  • Proven ability to partner with business and technology teams to analyze problems and design scalable, sustainable solutions.

  • Strong passion for leveraging data strategically to drive business outcomes.

  • Salesforce Expertise

  • Hands-on experience administering Salesforce using declarative tools.

  • End-to-end ownership of Salesforce data hygiene, including quality, and governance.

  • Experience significantly contributing to large-scale Salesforce data hygiene initiatives.

  • Advocate and champion for Salesforce data management best practices.

  • Seismic Expertise

  • Seismic Platform knowledge.

  • CRM & Sales process knowledge, such as lead-to-opportunity, account hierarchies, pipeline stages and opportunity data structure.

  • LiveDoc understanding

  • Data Analytics & Data Management

  • Strong data analytics background with experience analyzing large datasets.

  • Deep curiosity and capability to follow data flows and understand complex data relationships.

  • Ability to communicate analytical findings clearly and provide actionable, data-driven recommendations.

  • Data quality expertise, including identifying issues and designing solutions using Salesforce features such as duplicate rules, matching rules, validation rules, and automation.

  • Data governance experience, partnering with business and technology leadership to define data ownership, stewardship, and governance models.

  • Development and implementation of Salesforce data hygiene metrics and standards.

  • Root cause analysis skills to identify behavioral, process, system, or integration drivers of poor data quality and recommend improvements to business processes.

  • Systems-thinking approach to assess integrations and upstream/downstream impacts.

  • Familiarity with enterprise data ecosystems and tools such as ETL processes, data lakes/warehouses, and analytics platforms (e.g., Power BI).

  • Experience exporting, cleansing, and re-importing Salesforce data using SOQL, Salesforce Data Loader (or similar tools), and MSExcel (e.g., PivotTables, Conditional Formatting, VLOOKUP).

  • API & Integration understanding.

  • Technical Skills

  • Strong understanding of relational database concepts and data modeling.

  • Experience with Snowflake or similar cloud data platforms.

  • Experience working with large datasets, including structured and semi-structured data (e.g., JSON files).

  • Proficiency in MS Excel for data analysis and validation.

  • Communication & Collaboration

  • Excellent written and verbal communication skills with a strong emphasis on active listening.

  • Ability to create clear, thorough documentation, including solution designs, knowledge base articles, and step-by-step user guides.

  • Comfortable collaborating with business users, technology partners, and leadership.

  • Organization & Prioritization

  • Strong ability to multitask in a fast-paced, agile environment.

  • Proven ability to prioritize work based on business impact, urgency, and SLAs.

  • Track record of delivering results while maintaining positive working relationships.

  • Proven initiative, intellectual curiosity, and a continuous learning mindset.


Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.