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Remote Data Jobs in Massachusetts (NOW HIRING)

Data Architect

Boston, MA ยท Remote

$69.25 - $89/hr

We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about leading large-scale cloud and data modernization ...

Data Acquisition Representative

Burlington, MA ยท On-site +1

$42K - $106K/yr

Position Summary The Client Data Acquisition Representative plays a key role in supporting client ... Provide professional, responsive support to clients and vendors Job Location United States - Remote ...

Data Acquisition Representative

Burlington, MA ยท On-site +1

$42K - $106K/yr

Position Summary The Client Data Acquisition Representative plays a key role in supporting client ... Provide professional, responsive support to clients and vendors Job Location United States - Remote ...

Data Engineer with AI - Remote

Boston, MA ยท On-site +1

$124K - $149K/yr

Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement Job Title: Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job ...

Showing results 41-60

Remote Data information

See Massachusetts salary details

$50.2K

$180.2K

$265.9K

How much do remote data jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote data in Massachusetts is $180,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,800.00 and $185,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible, making them accessible to a wide range of job seekers.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Massachusetts? The most popular types of Data jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Data jobs? Cities in Massachusetts with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $180,220 per year, or $86.6 per hour.

$69.25 - $89/hr

Full-time

Re-posted 25 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

Responsibilities:

  1. Lead enterprise-scale data, application, and platform migration initiatives across cloud and modern data ecosystems
  2. Conduct discovery and assessment sessions with Business Units, SMEs, and IT stakeholders to understand current-state systems and migration requirements
  3. Assess ETL/ELT pipelines, BI/reporting assets, databases, enterprise applications, and cloud platforms to define migration scope and strategy
  4. Drive migration planning activities including dependency analysis, process-to-object mapping, complexity assessment, and wave-based execution planning
  5. Define and recommend migration approaches such as Rehost (Lift-and-Shift), Replatform, Refactor/Modernization, and Retire/Replace
  6. Collaborate with Enterprise Architects, Cloud Architects, Data Engineers, and Analytics teams to align migration roadmaps with target-state architecture
  7. Ensure migration readiness by coordinating testing, validation, cutover planning, and implementation governance
  8. Provide technical leadership and strategic guidance on cloud modernization, data modernization, and migration best practices
  9. Track risks, dependencies, and project milestones while maintaining clear communication with business and technical stakeholders
  10. Support solution planning, effort estimation, and implementation readiness activities for migration programs

Requirements

  • 10+ years of experience in data, application, or platform migration programs
  • Strong experience leading enterprise cloud transformation and modernization initiatives
  • Hands-on experience with AWS cloud platform and cloud migration strategies
  • Strong understanding of ETL/ELT tools, BI/reporting platforms, relational databases, and cloud data platforms
  • Experience with migration assessment, dependency analysis, and migration roadmap planning
  • Knowledge of data modernization and lakehouse architectures
  • Background in enterprise architecture or solution design
  • Strong stakeholder management, communication, and cross-functional collaboration skills
  • Experience coordinating large-scale migration activities across business and technology teams
  • Self-driven individual with the ability to work independently in fast-paced transformation environments
  • Experience with Agile delivery methodologies and enterprise-scale implementation programs

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.