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Remote Data Entry Analyst Jobs in Worcester, MA (NOW HIRING)

CVS Health

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

Counsels the team in data exploration, analysis, and modeling techniques to derive actionable ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

CareDx, Inc.

Customer Master Data Manager

Waltham, MA · Remote

... remote candidates will work and collaborate from home. Responsibilities * Customer Master Data ... System Integration - Partner with Commercial Operations, IT, Analytics, Revenue Cycle, Market ...

thg

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

... Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote ... Optimize detection and response through automation, orchestration, and advanced analytics.

thg

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

... Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote ... Optimize detection and response through automation, orchestration, and advanced analytics.

EnthuZiastic

Growth Hacker - Remote

Babson Park, MA · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

EnthuZiastic

Growth Hacker - Remote

Worcester, MA · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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All JobsData Entry Analyst JobsRemote Data Entry Analyst JobsRemote Data Entry Analyst Jobs in Worcester, MA

Remote Data Entry Analyst information

See Worcester, MA salary details

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How much do remote data entry analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote data entry analyst in Worcester, MA is $32.85, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $36.68 per hour, depending on experience, location, and employer.

What is a remote data entry analyst?

A Remote Data Entry Analyst is responsible for inputting, updating, and managing data in digital systems while working from a remote location. They ensure accuracy, consistency, and completeness of data, often using spreadsheets, databases, or specialized software. This role requires strong attention to detail, typing proficiency, and the ability to follow data management procedures. Analysts may work with financial, healthcare, customer, or product-related data, depending on the employer. Effective communication and time management skills are essential for meeting deadlines and ensuring data integrity.

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

To thrive as a Remote Data Entry Analyst, you need exceptional attention to detail, fast and accurate typing skills, and a solid grasp of data management concepts, often demonstrated by a high school diploma or equivalent. Proficiency with data entry software such as Microsoft Excel, Google Sheets, and enterprise databases (like Salesforce or SAP) is commonly required, and knowledge of basic data security protocols is beneficial. Strong self-motivation, time management, and clear written communication set standout candidates apart in remote settings. These abilities ensure that data is accurately processed, deadlines are consistently met, and communication remains seamless despite working remotely.

What are some typical challenges faced by remote data entry analysts, and how can they be managed?

Remote Data Entry Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and staying connected with team members from a distance. To overcome these, it's important to establish a structured work schedule, take regular short breaks to maintain productivity, and leverage collaboration tools like Slack, Zoom, or project management platforms to stay in sync with colleagues. Setting clear daily or weekly goals can also help keep you motivated and on track. Proactively reaching out for feedback and assistance ensures that you remain integrated with your team and can resolve any issues promptly.

Are any remote data entry analyst jobs legit?

Remote data entry analyst jobs are legitimate opportunities that typically involve inputting and managing data using software tools like spreadsheets and databases. However, job seekers should verify the employer's credibility, avoid positions that require upfront payments, and be cautious of scams promising high pay for minimal work.

What are popular job titles related to Remote Data Entry Analyst jobs in Worcester, MA?

For Remote Data Entry Analyst jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Remote Data Entry Analyst jobs in Worcester, MA look for?

The top searched job categories for Remote Data Entry Analyst jobs in Worcester, MA are:

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

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

Remote Data Entry Analyst jobs near you
Infographic showing various Remote Data Entry Analyst job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,338 per year, or $32.9 per hour.

Data Solutions Architect

SMART TECH SKILLS LLC

Marlborough, MA • Remote

Full-time

Posted 5 days ago

Job description

Benefits:
  • Competitive salary

Location
Remote (U.S.-based) / Hybrid options available
Experience Level
Senior–Lead Level (10 or more years of data architecture and engineering experience)
Role Overview
The Data Solutions Architect leads the design, architecture, and implementation of enterprise-scale data platforms across Azure, AWS, and multi-cloud environments. This role defines modern data strategies, establishing robust Lakehouse and Data Warehouse solutions that support business intelligence, advanced analytics, and AI/ML initiatives. Working closely with engineering teams and executive stakeholders, the Data Solutions Architect builds scalable, secure, and performant data ecosystems to enable data-driven decision-making across the organization.
Key Responsibilities
Enterprise Architecture & Strategy
  • Define enterprise data platform strategies, architectural blueprints, and engineering standards.
  • Design scalable, secure Lakehouse and Data Warehouse architectures supporting both structured and unstructured data.
  • Implement dimensional data models, star and snowflake schemas, and scalable ingestion frameworks.
  • Align modern data architecture initiatives with organizational business goals and digital transformation roadmaps.

Data Pipeline & Platform Engineering
  • Architect high-performance, resilient batch and real-time data pipelines using PySpark, Databricks, Kafka, and cloud-native services.
  • Implement end-to-end data ecosystems integrating Azure Data Factory, ADLS Gen2, Azure Synapse Analytics, Snowflake, and AWS data services.
  • Optimize platform performance through partitioning strategies, clustering, data skew remediation, schema evolution, and distributed workload tuning.

Data Governance, Security, & Quality
  • Establish comprehensive data governance, metadata management, schema management, and data quality frameworks.
  • Implement automated data validation, observability, and compliance monitoring across all data pipelines.
  • Enforce cloud security best practices, role-based access controls, and data protection standards across multi-cloud environments.

DevOps, Automation, & Analytics Integration
  • Automate cloud infrastructure deployments using Terraform (Infrastructure as Code) and CI/CD pipelines via Azure DevOps.
  • Integrate modern business intelligence and enterprise reporting tools, including Power BI, to deliver actionable insights.
  • Collaborate with engineering, analytics, business, and executive stakeholders to drive architectural excellence and continuous delivery.

Required Qualifications
  • 10 or more years of experience in data engineering, data platform architecture, and enterprise software delivery.
  • 5 or more years of experience architecting and implementing modern cloud data platforms on Azure, AWS, or multi-cloud environments.
  • Strong hands-on architectural experience with Azure data services, including Azure Databricks, Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.
  • Deep expertise in Lakehouse and Data Warehouse design using Snowflake and Databricks.
  • Extensive experience designing distributed processing pipelines using PySpark, SQL, and streaming technologies like Apache Kafka.
  • Proven experience in dimensional modeling, schema design, and query performance optimization techniques.
  • Experience establishing data governance, metadata catalogs, and automated data quality validation frameworks.
  • Proficiency with Infrastructure as Code (Terraform) and CI/CD automation tools.

Preferred Qualifications
  • Experience architecting data platforms that support machine learning, advanced analytics, and AI/ML workloads.
  • Hands-on experience with AWS data services, including AWS Glue, AWS Lambda, and S3.
  • Advanced knowledge of enterprise reporting and semantic layer modeling using Power BI.
  • Relevant cloud or architecture certifications (e.g., Azure Solutions Architect, Databricks Certified Architect, or Snowflake SnowPro).

Core Skills & Attributes
  • Exceptional ability to translate complex business objectives into scalable, high-performing technical architectures.
  • Strong strategic thinking with expertise in workload optimization, cost governance, and distributed system resilience.
  • Excellent communication and presentation skills across executive, technical, and non-technical audiences.
  • Proven technical leadership with the ability to mentor data engineers and establish engineering best practices.

This is a remote position.