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Data Jobs in Dover, NH (NOW HIRING)

Data Architect

Portsmouth, NH

$65 - $83.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Data Engineer

Derry, NH · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Rochester, NH · On-site

$112K - $134K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Sr. Data Architect

Portsmouth, NH

$68.50 - $91.75/hr

Senior Data Architect Location: Portsmouth, NH Duration: 6++ Months SKILLS / QUALIFICATIONS: 9 years of relevant data warehouse experience including at least 5 year experience in: Physical and ...

Lead Data Scientist

Newburyport, MA · On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

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Data information

See Dover, NH salary details

$47K

$168.5K

$248.6K

How much do data jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data in Dover, NH is $168,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,300.00 and $173,600.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 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 is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

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 interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

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 skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What are the most commonly searched types of Data jobs in Dover, NH? The most popular types of Data jobs in Dover, NH are:
What job categories do people searching Data jobs in Dover, NH look for? The top searched job categories for Data jobs in Dover, NH are:
What cities near Dover, NH are hiring for Data jobs? Cities near Dover, NH with the most Data job openings:
Infographic showing various Data job openings in Dover, NH as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $168,503 per year, or $81 per hour.

$65 - $83.50/hr

Other

Re-posted 18 days ago


Job description

Data Architect

Hybrid / Full Time / Wayne, PA or Portsmouth, NH

At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to that mission - and as a Data Architect, you'll help shape the future of how data powers our business, drives innovation, and ultimately impacts patient outcomes.

This is an opportunity to influence enterprise-wide strategy, modernize data capabilities, and build the foundation that enables analytics, AI, and digital transformation across a global organization.

ABOUT THE ROLE

We are seeking an experienced and forward-thinking Data Architect to lead the evolution of Novocure's enterprise data architecture.

This is not a traditional SAP-focused architecture role. While SAP S/4HANA serves as a critical component of our technology ecosystem, we are looking for an architect who can think beyond a single platform and design a connected, scalable, and modern enterprise data landscape.

You will help define the architecture strategy that connects SAP, Veeva, cloud platforms, integration technologies, master data solutions, operational data stores, and analytics environments into a cohesive enterprise ecosystem. Your work will help establish trusted data foundations that support business operations, regulatory requirements, advanced analytics, and future AI initiatives.

The ideal candidate has experience building or transforming enterprise data architectures, understands modern cloud and integration patterns, and can translate business needs into scalable technical solutions.

WHAT YOU'LL DO

  • Define and drive Novocure's enterprise data architecture strategy and roadmap
  • Design scalable, secure, and governed data solutions across SAP S/4HANA, Veeva CRM, Veeva Vault, MDM, ODS, and other enterprise platforms
  • Develop enterprise data models, integration patterns, and architecture standards that support operational and analytical workloads
  • Lead architecture decisions related to data governance, quality, metadata management, and master data management
  • Partner with business and technology leaders to identify opportunities to improve data accessibility, consistency, and business value
  • Establish modern architecture principles that support cloud, hybrid, SaaS, and API-driven ecosystems
  • Evaluate emerging technologies and architectural approaches that support AI, advanced analytics, and future business growth
  • Ensure alignment with security, privacy, compliance, and regulatory requirements
  • Provide technical leadership and architectural guidance to engineering, analytics, and application teams
  • Champion enterprise data governance standards and best practices across the organization

ABOUT YOU

You are a modern Data Architect who understands that architecture is about enabling business outcomes - not simply managing systems.

You bring deep expertise in enterprise data architecture and understand how to connect complex technology ecosystems that span ERP, SaaS, cloud, analytics, and integration platforms. While you have strong SAP experience, you are equally comfortable working across cloud-native technologies, integration platforms, and modern data environments.

You have likely helped build or transform enterprise data architecture from the ground up, creating scalable and governed solutions that support both current business needs and future innovation.

You are comfortable influencing senior stakeholders, collaborating across functions, and balancing strategic thinking with practical execution.

Most importantly, you bring curiosity, adaptability, and a passion for solving complex data challenges.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field
  • 8+ years of experience in data architecture, enterprise data management, or data integration roles
  • Strong experience with SAP S/4HANA and enterprise data architecture principles
  • Experience designing and implementing enterprise data integration strategies across multiple business systems
  • Deep understanding of data modeling, data governance, MDM, and operational data stores
  • Experience working within complex enterprise application environments
  • Strong communication, stakeholder management, and leadership skills
  • Ability to influence both technical and non-technical audiences

Preferred Qualifications:

  • Experience building or leading enterprise data architecture initiatives from the ground up
  • Hands-on experience with SAP Data Services (BODS) and SAP S/4HANA integrations
  • Experience with enterprise SaaS platforms such as Veeva CRM, Veeva Vault, Salesforce, or similar solutions
  • Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform
  • Experience with integration and middleware technologies such as MuleSoft or similar platforms
  • Knowledge of modern architecture patterns including API-first design, event-driven architecture, cloud-native solutions, data products, and AI-ready data platforms
  • Experience in pharmaceutical, biotechnology, medical device, or other regulated industries
  • Familiarity with GDPR, HIPAA, and enterprise data compliance frameworks

HOW YOU'LL WORK

  • Hybrid work model based in Wayne, PA or Portsmouth, NH
  • Partner closely with Enterprise Architecture, Data & Analytics, Business Technology, and business leadership teams
  • Influence enterprise-wide technology and data strategy
  • Work in a collaborative, fast-paced environment focused on innovation and continuous improvement
  • Occasional domestic and international travel as needed

WHAT WE OFFER

This pay range which Novocure expects to pay for this role at the time of this posting is $150,000 - $190,000/yr. This position may also be eligible for an annual bonus and restricted stock unit grant in addition to a full range of benefits. Individual compensation within this range depends on a variety of factors, including, but not limited to, prior education and experience, job-related knowledge and skills demonstrated.

ABOUT NOVOCURE:

Novocure is a company with a powerful mission, to extend the lives of people living with some of the most aggressive forms of cancer. Here your work will have a direct impact on patients and those who care about them.  Join a team of passionate, collaborative people who support each other, challenge one another, and innovate together. Here, you'll connect, grow, and make a real difference. We're a company with the drive of a startup and the strength that comes with 25 years of success.

Novocure operates at a rare crossroad, where advanced medical technology converges with cutting-edge biotechnology. We are the only company to develop and commercialize Tumor Treating Fields (TTFields), a proprietary, groundbreaking therapy designed to disrupt cancer cell division. With us you will find a unique combination of laboratory research work alongside engineering development of advanced technologies. This fusion of disciplines positions us as true pioneers in oncology innovation, leading a new frontier in the treatment of aggressive cancers.

Our patient-forward values

- innovation

- focus

- drive

- courage

- trust

- empathy

#LI-RJ1

Novocure is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state, or local law.  We actively seek qualified candidates who are protected veteran and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Novocure is committed to providing an interview process that is inclusive of our applicant's needs.  If you are an individual with a disability and would like to request an accommodation, please email NovocureRecruitingEEO@novocure.com

 

If you're excited about this role, we encourage you to apply.