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Data Jobs in Hooksett, NH (NOW HIRING)

The role documents and coordinates conversion data from prior recordkeepers, develops a conversion strategy with the client, manages data delivery and completeness reviews, follows up until all data ...

Data Entry Associate

Merrimack, NH · On-site

$16.50 - $21.25/hr

We are currently sourcing for a Data Entry Associate to work in Merrimack, NH! The Corporate Risk team is seeking a Data Entry Associate to support Fidelity's High Risk Roles (HRR) Program. This role ...

If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...

If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...

M-78-Data Architect 144227.

Nashua, NH · On-site

$64.50 - $82.75/hr

Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates in New England preferred) Duration: 8-month contract Travel: Client does not cover travel expensesOur ...

M-78-Data Architect 144227.

Concord, NH · On-site

$64.25 - $82.50/hr

Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates in New England preferred) Duration: 8-month contract Travel: Client does not cover travel expensesOur ...

Showing results 21-40

Data information

See Hooksett, NH salary details

$45.5K

$163.1K

$240.7K

How much do data jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data in Hooksett, NH is $163,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,100.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

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

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

What cities near Hooksett, NH are hiring for Data jobs?

Cities near Hooksett, NH with the most Data job openings:

Infographic showing various Data job openings in Hooksett, NH as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $163,143 per year, or $78.4 per hour.

Vice President, Data Architecture

Fidelity Investments

Merrimack, NH • On-site

$65.25 - $84/hr

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services


Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
Fidelity is actively seeking an experienced architect to lead a team of data architects in the Asset Management Technology's architecture team. At Fidelity, architects are leaders in technology playing a significant role in driving all aspects of technology planning and execution. Fidelity's Asset Management Technology group is seeking a visionary leader to helm our data architecture practice, guiding technical strategy across Research, Portfolio Management, and Trading functions supporting $7 trillion in assets. You will set the architectural direction for AI-ready platforms, establish governance frameworks that enable consistent excellence, and build a high-performing team of architects positioned to tackle the most consequential data challenges in financial services.
  • Define and evangelize data architecture strategy across Asset Management Technology, establishing technical direction that aligns with business objectives and drives competitive advantage while balancing innovation with operational excellence.
  • Lead architecture governance and standards for data platforms, establishing design patterns, best practices, and guardrails that enable teams to deliver consistent, scalable solutions while maintaining architectural coherence across the organization. Position data platforms to be AI-ready with appropriate semantic and data access layers.
  • Drive cross-functional data initiatives as a senior technical leader, partnering with product management, engineering leadership, and business stakeholders to translate complex business requirements into actionable architectural roadmaps and delivery plans.
  • Build and develop high-performing data architecture teams through hiring, onboarding, career development, and succession planning-creating clear growth paths from mid-level to senior architect roles and fostering a culture of technical excellence and continuous learning.
  • Architect and deliver high-impact solutions for the most complex and critical data challenges, leading by example through hands-on design, prototyping, and code contributions that set quality standards and demonstrate technical excellence to the team.
  • Design and optimize enterprise-scale data platforms encompassing ETL/ELT pipelines, data access layers, and polyglot persistence strategies for transactional, operational, and analytical workloads using modern cloud-native patterns and Fidelity-preferred technology stacks.
  • Establish reference architectures and accelerators that encode proven patterns for common use cases, reducing time to market for teams while ensuring consistency in security, observability, performance, and operational resilience.
  • Lead technical deep dives and design reviews for critical initiatives, providing architecture expertise that unblocks teams, validates approaches, and ensures solutions meet non-functional requirements, including scalability, security, compliance, and maintainability.

The Expertise and Skills You Bring
  • Bachelor's degree in Computer Science, Information Technology, or a related technical field required; master's degree or MBA preferred. Advanced degrees or certifications in Data Science, Machine Learning, or Systems Engineering add differentiation.
  • 5 years leading, mentoring, and developing technical teams, with experience building teams from the ground up or transforming underperforming teams into high-performing organizations, demonstrated through successful hiring, strong retention, and career progression of team members to senior or principal roles.
  • Proven ability to mentor and develop architects and senior engineers, with a track record of growing individuals from mid-level to staff or principal levels through coaching, design review feedback, exposure to complex problems, and advocacy for career advancement.
  • Executive-level communication skills, with the ability to present to senior audiences, translate complex technical concepts into business language, articulate risk and reward trade-offs, and build consensus among stakeholders with competing priorities.
  • Expert-level proficiency in SQL, PL/SQL, and modern data programming languages, including Python, Scala, and Java, with the ability to review code, conduct technical interviews, and contribute to critical implementations when needed while maintaining technical credibility through periodic hands-on work on complex problems.
  • Deep experience with modern data engineering toolchains, including Spark, Kafka, Airflow, dbt, Snowflake, Databricks, and cloud-native services such as AWS Glue, Lambda, Step Functions, and Kinesis, with an understanding of their operational characteristics, failure modes, and cost implications at enterprise scale.
  • Expertise in DataOps and continuous delivery practices for data platforms, including infrastructure as code using Terraform or CloudFormation, CI/CD pipelines for data workflows, automated testing strategies for data quality, schema validation, and lineage, and observability instrumentation.

The Team
Fidelity's Asset Management Technology group supports the investment management business. The Architecture team provides the technical vision and leadership for key initiatives and helps deliver complex, critical solutions across Research, Portfolio Management, and Trading functions. Come join us in driving the technology and success of a world-class technology team.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $140,000-285,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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