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Remote Aggregate Jobs in Boston, MA (NOW HIRING)

Aquent

Senior Paid Media Strategist

Westford, MA · On-site +1

$80K - $90K/yr

Analyze data in aggregate to identify short-term and long-term trends, translating insights into ... in a remote environment. Nice-to-Have Qualifications * A Marketing or Advertising major ...

Zus Health

VP, Customer Success

Boston, MA · Remote

$200K - $240K/yr

... to aggregate patient clinical history and then translates that history into user-friendly ... We're a remote first company and this person should be comfortable in a hybrid setup where they are ...

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All JobsAggregate JobsRemote Aggregate JobsRemote Aggregate Jobs in Boston, MA

Remote Aggregate information

See Boston, MA salary details

$18

$23

$25

How much do remote aggregate jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote aggregate in Boston, MA is $23.36, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $24.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data aggregator, and why are they important?

To thrive as a Remote Data Aggregator, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in information systems or a related field. Familiarity with data aggregation tools, spreadsheets, databases, and sometimes knowledge of programming languages like SQL or Python is typically required. Excellent time management, communication, and self-motivation are vital soft skills for remote collaboration and meeting deadlines. These abilities are crucial for ensuring accurate, timely, and reliable data collection and synthesis while working independently.

What are some common challenges faced by professionals in a remote aggregate data analysis role, and how can they be addressed?

Professionals working in remote aggregate data analysis often encounter challenges such as coordinating with geographically dispersed teams and ensuring data consistency across multiple sources. To address these issues, it’s important to establish clear communication channels and standardized data protocols. Regular virtual meetings and collaborative platforms can help maintain alignment, while thorough documentation ensures everyone is on the same page. Additionally, actively seeking feedback and participating in online training can help you stay updated with best practices and emerging tools in the field.

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

AspectRemote AggregateRemote Data Analyst
Required CredentialsTypically a degree in business, finance, or related fields; familiarity with data toolsDegree in statistics, mathematics, or related fields; proficiency in data analysis software
Work EnvironmentCollaborative teams, often in business or finance sectors, remote or hybridData-focused environment, often in tech, finance, or consulting firms, remote or hybrid
Employer & Industry UsageUsed by companies analyzing aggregate data for strategic decisionsUsed by organizations to interpret data sets, generate reports, and support decision-making

Remote Aggregate involves analyzing summarized or combined data sets for strategic insights, often in business contexts. Remote Data Analysts focus on interpreting detailed data to generate reports and support decision-making. While both roles require analytical skills, Remote Aggregate emphasizes data compilation and high-level analysis, whereas Remote Data Analysts work directly with raw data to derive insights.

What is a remote aggregate?

Remote Aggregates are professionals or services that gather, process, and analyze data or resources from remote locations, typically using digital tools and cloud-based platforms. Their work often involves collecting information from various sources, consolidating it, and delivering insights or compiled data to clients or organizations. Remote Aggregates can work in fields like data management, market research, or logistics, providing flexible and scalable solutions without the need for on-site presence. This role is increasingly important as businesses shift toward remote operations and data-driven decision-making.
What are popular job titles related to Remote Aggregate jobs in Boston, MA? For Remote Aggregate jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Aggregate jobs in Boston, MA look for? The top searched job categories for Remote Aggregate jobs in Boston, MA are:
Remote Aggregate jobs near you
Infographic showing various Remote Aggregate job openings in Boston, MA as of June 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $48,588 per year, or $23.4 per hour.

Sr Data Architect - Patient Services (Life Sciences)

Tiger Analytics Inc.

Boston, MA • Remote

$73 - $97.75/hr

Full-time

Re-posted 14 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.

We are seeking a Data Architect - Patient Services to join our Life Sciences practice. In this role, you will be responsible for ensuring the integrity and reliability of Patient Services (PS) data and be the primary bridge between external Patient Services Hub vendors and internal enterprise systems. This is a high-impact role combining technical data modeling with operational stewardship, requiring you to drive data quality, investigate complex lineage issues, and ensure that patient data is "analytics-ready" for strategic decision-making.

Responsibilities:

  • Architecture & Modeling: Lead source-to-target mapping from external Hub vendors to internal systems (EDB). Define logical/conceptual data models and act as the primary SME for Patient Services data structures.
  • Data Stewardship: Partner with MDM teams to ensure accurate HCO mastering and hierarchy aggregation. Identify data gaps and design solutions to roll up Patient Access data across therapeutic areas.
  • Quality & Integrity: Proactively resolve data issues and define validation rules. Collaborate with DD&T to implement data quality checks within the pipeline ecosystem.
  • Vendor Accountability: Direct engagement with PS Hub vendors and aggregators to investigate root causes, enforce Data SLAs, and validate data fixes before and after transmission.
  • Analytics Enablement: Partner with Analytics & Insights (A&I) to build "Analytics Ready Data" (ARD) layers, ensuring data is reliable, actionable, and compliant with audit standards.

Requirements

  • 15 + yrs of experience in data architecture, data management, or data engineering roles.
  • Strong experience with healthcare, patient services, or life sciences data (mandatory).
  • Demonstrated expertise in data quality management, validation, and issue resolution.
  • Experience working with external vendors and complex data pipelines.
  • Strong SQL skills and experience querying enterprise data platforms.
  • Proven ability to translate business needs into data requirements and quality rules.
  • Experience supporting Patient Services / Hub data in a pharmaceutical or biopharma environment.
  • Familiarity with enterprise data warehouses (e.g., Snowflake, Oracle, Teradata) and data lakes.
  • Knowledge of data governance frameworks and master/reference data concepts.
  • Ability to operate in a matrixed, cross functional environment.

Key Competencies

  • Data ownership mindset and attention to detail
  • Strong analytical and problem-solving skills
  • Clear communicator with technical and nontechnical partners
  • Comfortable driving accountability across vendors and stakeholders
  • Able to balance operational rigor with strategic impact

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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