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

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/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 ...

Citizens

Martech Platform Data Lead

Westwood, MA · On-site +1

$140K - $183K/yr

This role partners across Marketing, Technology, Data & Analytics, and Customer Experience teams to ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Tiger Analytics Inc.

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 ...

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Showing results 21-40

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Dedham, MA

Remote Data Analyst information

See Dedham, MA salary details

$34.9K

$84.9K

$139.7K

How much do remote data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data analyst in Dedham, MA is $84,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $99,600.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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.

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.

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 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 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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Dedham, MA? The most popular types of Data Analyst jobs in Dedham, MA are:
What job categories do people searching Remote Data Analyst jobs in Dedham, MA look for? The top searched job categories for Remote Data Analyst jobs in Dedham, MA are:
What cities near Dedham, MA are hiring for Remote Data Analyst jobs? Cities near Dedham, MA with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Dedham, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,888 per year, or $40.8 per hour.

Data Architect

Tiger Analytics Inc.

Westwood, MA • Remote

$71.25 - $91.75/hr

Full-time

Re-posted 17 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. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and realtime streaming architectures using Kafka. This role drives alignment across business domains and enables highquality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

  1. Develop and enhance canonical data models, semantic models, and domaindriven data contracts to enable crossenterprise data interoperability.
  2. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
  3. Design and implement data architecture patterns to support realtime streaming solutions using Kafka.
  4. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, wellgoverned data models.
  5. Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
  6. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
  7. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
  8. Support enterprise initiatives around realtime data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.

Requirements

  • Significant experience with canonical data modeling and enterprisewide conceptual/logical/physical modeling.
  • Strong background in semantic modeling and data mesh design principles.
  • Handson experience with Kafka, including event modeling, schema strategy, and realtime pipeline architecture.
  • Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
  • Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
  • Familiarity with data governance, data quality, metadata, and lineage frameworks.
  • Strong SQL skills and proficiency in at least one programming language (Python preferred).
  • Excellent communication skills with the ability to work across technical and business teams.
  • Handson experience with enterprise data catalog and metadata systems.
  • AWS certification (Solutions Architect, Data Analytics Specialty, etc.)

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.

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