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Remote Data Analyst Jobs in Randolph, MA (NOW HIRING)

Data Engineer

Boston, MA · Remote

$137K/yr

Discover hidden information using massive datasets and leveraging advanced data analytics and ... This position is eligible for fully remote work from any location in the United States. Minimum ...

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... remote global workforce. If you are passionate about leading large-scale cloud and data ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Posted today

Data Scientist

Boston, MA · Remote

$74K - $88K/yr

Ensure that transportation modeling tools and analytical capabilities are credible and effective ... The agency has a hybrid schedule, combining time in the office with remote work. Employees must ...

Compensation Analyst II

Somerville, MA · Remote

$79K - $115K/yr

... data-driven recommendations. * - Strong attention to detail and accuracy in data analysis and ... Remote Working Model Requirements * M-F Eastern business hours required * Remote employees must use ...

New

Senior Analyst, Product (Remote)

Boston, MA · On-site +1

$120K - $146K/yr

Data is our compass, guiding every decision, especially within our product endeavors. If you're ... Analyze all aspects of ezCater's product and site funnel, identifying points of friction, areas of ...

Build analytical infrastructure, including reusable code, templates, and workflows that improve ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Showing results 41-60

Remote Data Analyst information

See Randolph, MA salary details

$34.7K

$84.3K

$138.7K

How much do remote data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data analyst in Randolph, MA is $84,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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 degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Randolph, MA?

The most popular types of Data Analyst jobs in Randolph, MA are:

What cities near Randolph, MA are hiring for Remote Data Analyst jobs?

Cities near Randolph, MA with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Randolph, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 3% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $84,266 per year, or $40.5 per hour.

Data Engineer

Manulife

Boston, MA • Remote

$137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Employer: John Hancock Life Insurance Company (USA)
Job Site: 200 Berkeley Street, Boston, MA 02116
Job Title: Data Engineer

Job Duties:

  • Discover hidden information using massive datasets and leveraging advanced data analytics and machine learning techniques to enable data-driven strategic decision-making. Duties include:
  • Design, build and maintain data pipelines for ETL/ELT processes for large scale datasets;
  • Migrate legacy data architectures to Azure and AWS leveraging cloud-native services for scalability;
  • Develop and optimize Spark based pipelines using databricks for large-scale data processing and Synpse for creating data pipelines;
  • Automate complex workflows for data ingestion, transformation, and delivery using Airflow;
  • Create interactive dashboards to communicate insights to business stakeholders;
  • Design and manage relational MSSQL, PostgreSQL, and NoSQL (MongoDB) databases for diverse use cases;
  • Implement secure and compliant pipelines including governance policies for sensitive data;
  • Integrate various data sources to streamline data processing and analysis using REST APIs;
  • Collaborate with data scientists to build pipelines for training and deploying machine learning models;
  • Work with cross-functional teams to gather requirements and deliver tailored data solutions;
  • Set up monitoring and alerting systems to ensure data pipeline health and reliability;
  • Use Docker to built and deploy applications and ensure consistency across development and production environments; and
  • Identify inefficiencies in existing workflows and implement process improvements to reduce costs.

This position is eligible for fully remote work from any location in the United States.

Minimum Requirements:
Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Electronic Engineering, Information Systems or related field and 3 years of experience with Python, SQL, and ETL processes.

Experience must include the following, which may have been gained concurrently:

1) 3 years of experience with cloud platforms including AWS and Azure.
2) 3 years of experience using distributed computing frameworks including Spark, Databricks and Synapse.
3) 2 years of experience with orchestration tools including Apache Airflow.
4) 3 years of experience with data visualization tools including Power BI and Tableau.
5) 3 years of experience with database systems including SQL and NoSQL.
6) 3 years of experience using data governance, compliance, and security practices.
7) 3 years of experience with REST APIs and integration frameworks.
8) 3 years of machine learning and predictive modeling experience.
9) 3 years of experience with monitoring tools including Splunk and CloudWatch.
10) 2 years of experience using DevOps practices and containerization.

Salary: $137,946 per year

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

USA, California - Full Time Remote

Working Arrangement

Remote

Salary range is expected to be between

$90,160.00 USD - $167,440.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)