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Remote Data Aggregation Jobs in Massachusetts (NOW HIRING)

Director, Global Safety Lead

Boston, MA ยท On-site +1

$250K - $300K/yr

... of aggregate safety reports, and contributions to benefit-risk assessments and safety risk ... Spearhead signal detection activities, including kick off activities, planning, safety data ...

Aggregate and analyze data from multiple sources * Utilizing a CAFM/IWMS database, manage ... Remote -Austin, TX, Burlington, MA, Chicago, IL, Kansas City, MO, Nashville, TN If this resonates ...

Remote (Boston) Position Summary: At Invivyd, we're building a new category of infectious disease ... Aggregate customer, market data, and insights to effectively apply multiple channels to drive total ...

Remote (Boston) Position Summary: At Invivyd, we're building a new category of infectious disease ... Aggregate customer, market data, and insights to effectively apply multiple channels to drive total ...

We combine data, technology, and human expertise to ensure our customers operate in a well ... Help aggregate customer feedback that ensures our products & solutions closely align with customer ...

Deal Advisory Senior Manager

Boston, MA ยท On-site +1

$105K - $247K/yr

... or possibly remote for the right resource. Our National Deal Advisory practice supports M&A ... Throughout 2025, our team advised on ~650+ deals with an aggregate transaction value exceeding $25B.

Deal Advisory Senior Manager

Waltham, MA ยท On-site +1

$105K - $247K/yr

... or possibly remote for the right resource. Our National Deal Advisory practice supports M&A ... Throughout 2025, our team advised on ~650+ deals with an aggregate transaction value exceeding $25B.

Deal Advisory Director

Waltham, MA ยท On-site +1

$190K - $318K/yr

... or possibly remote for the right resource. Our National Deal Advisory practice supports M&A ... Throughout 2025, our team advised on ~650+ deals with an aggregate transaction value exceeding $25B.

Remote Data Aggregation information

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

AspectRemote Data AggregationRemote Data Analyst
Required CredentialsBasic data handling skills, familiarity with data toolsBachelor's in Data Science, Statistics, or related field; often requires certifications
Work EnvironmentPrimarily technical, focused on data collection and processingAnalytical, interpretative, and reporting-focused
Employer & Industry UsageUsed across industries for consolidating data sourcesCommon in finance, marketing, healthcare for insights
Search & Comparison IntentUnderstanding data collection rolesAnalyzing data to inform decisions

Remote Data Aggregation involves collecting and consolidating data from various sources, focusing on data collection and management. Remote Data Analysts interpret and analyze data to generate insights, often requiring more specialized education and analytical skills. Both roles are essential in data-driven industries but serve different functions within the data lifecycle.

What is remote data aggregation?

Remote data aggregation is the process of collecting, compiling, and organizing data from various sources without being physically present at a central location. Professionals in this field use digital tools and software to access, extract, and consolidate information from databases, websites, or third-party platforms. This role is essential for businesses that rely on real-time or large-scale data from multiple sources, as it enables efficient analysis and reporting. Remote data aggregation is commonly utilized in industries such as market research, finance, and e-commerce, where timely and accurate data is crucial for decision-making.

What are the key skills and qualifications needed to thrive as a Remote Data Aggregation Specialist, and why are they important?

To thrive as a Remote Data Aggregation Specialist, you need strong analytical skills, attention to detail, and proficiency in data management, often supported by a degree in information technology, statistics, or a related field. Familiarity with data aggregation tools, database systems (such as SQL), and spreadsheet software like Excel is typically required. Excellent organizational skills, self-motivation, and effective communication are important soft skills for collaborating remotely and ensuring accurate results. These skills and qualities are essential for efficiently collecting, organizing, and delivering high-quality data that supports business decision-making.

What are some common challenges faced by professionals in remote data aggregation roles, and how can they be addressed?

Remote data aggregation professionals often encounter challenges such as inconsistent data sources, varying data formats, and communication barriers with distributed teams. These can be addressed by using robust data integration tools, establishing clear data validation protocols, and maintaining regular communication channels with colleagues and stakeholders. Staying adaptable and proactive in troubleshooting helps ensure data accuracy and timely project delivery. Additionally, ongoing training in new aggregation tools and methods can further streamline workflows.
What are the most commonly searched types of Data Aggregation jobs in Massachusetts? The most popular types of Data Aggregation jobs in Massachusetts are:
What job categories do people searching Remote Data Aggregation jobs in Massachusetts look for? The top searched job categories for Remote Data Aggregation jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Data Aggregation jobs? Cities in Massachusetts with the most Remote Data Aggregation job openings:
Sr Data Architect - Patient Services (Life Sciences)

Sr Data Architect - Patient Services (Life Sciences)

Tiger Analytics Inc.

Boston, MA โ€ข Remote

$73 - $97.75/hr

Full-time

Posted 20 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.