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Remote Data Analyst Rotational Program Jobs in New York

Wand

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Empassion

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$88K - $111K/yr

Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

Nestle

Supply Chain Data Analyst - (Remote)

Bridgewater, NJ · On-site +1

$70K - $80K/yr

The Order-to-Cash (O2C) Reference Data Analyst is responsible for analyzing, coordinating, and managing data that supports O2C processes outside of the standard Master Data scope. This role ensures ...

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Remote Data Analyst Rotational Program information

What is the difference between Remote Data Analyst Rotational Program vs Remote Data Analyst?

AspectRemote Data Analyst Rotational ProgramRemote Data Analyst
CredentialsBachelor's degree in Data Science, Statistics, or related field; some programs may require internshipsBachelor's degree in relevant field; certifications like SQL, Python, or Tableau are a plus
Work EnvironmentStructured program with rotations across departments; mentorship and training includedTypically focused on a specific team or project; independent work with collaboration
Employer & Industry UsageOffered by large corporations and tech companies as entry-level developmentCommon in various industries including finance, healthcare, and tech for ongoing roles

The Remote Data Analyst Rotational Program is designed for early-career professionals to gain diverse experience across departments, often with structured training. In contrast, a Remote Data Analyst role usually involves specialized, ongoing responsibilities within a specific team. Both roles require similar educational backgrounds and technical skills, but the program offers broader exposure and development opportunities.

What can I expect in terms of team collaboration and mentorship while participating in a Remote Data Analyst Rotational Program?

In a Remote Data Analyst Rotational Program, you can expect to work closely with multiple teams across different business units, gaining exposure to a variety of projects and analytical tools. Regular virtual meetings, collaborative platforms, and scheduled check-ins with mentors are common, ensuring you receive guidance and feedback despite the remote setting. Many programs pair participants with dedicated mentors or buddies, and encourage networking with peers and leaders to enhance learning. This structure not only helps you build technical and soft skills, but also enables you to understand which team or project aligns best with your career interests for future growth.

What is a Remote Data Analyst Rotational Program?

A Remote Data Analyst Rotational Program is a structured, entry-level opportunity where participants work in various data analyst roles across different departments or teams within a company, all while working remotely. These programs typically last from several months to a couple of years, allowing participants to gain a broad range of analytical skills, exposure to different business functions, and experience with diverse data tools and methodologies. The rotational aspect helps employees identify their strengths and interests, while building a strong foundation for a future career in data analysis. Participants also benefit from mentorship, networking, and professional development opportunities throughout the program.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst Rotational Program participant, and why are they important?

To thrive in a Remote Data Analyst Rotational Program, you need strong analytical abilities, proficiency in statistics, and a bachelor's degree in a related field such as mathematics, computer science, or economics. Familiarity with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau or Power BI), and sometimes certifications in analytics or data science are highly valued. Excellent communication, problem-solving skills, and adaptability are crucial for collaborating across different teams and quickly learning new business domains. These skills ensure you can extract actionable insights from data and contribute effectively to diverse projects in a dynamic, remote setting.
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Remote Data Analyst Rotational Program jobs near you
Clinical Development Business Analyst/Data Analyst

Clinical Development Business Analyst/Data Analyst

Aequor

Basking Ridge, NJ • Remote

Other

Posted yesterday

Job description

Title:- - Clinical Development Business Analyst/Data Analyst

Location: Basking Ridge, NJ (Remote)

Duration: Initial Duration: 6 months, starting asap, may be extended


37.5 hours per week


Summary


Education: Bachelor’s degree, preferably related to life sciences.

Years of Experience: Minimum 15 years – comparable to a senior level/experienced Clinical Development Business Analyst/Data Analyst


Experienced, senior-level individual with strong experience in clinical development (clinical study lifecycle and clinical data lifecycle) required to assist with data governance initiatives, including business glossaries, data catalogs, metadata management, data lineage, master and reference data management, data quality, data policies, data controls, data sharing, data stewardship, etc.


Requires strong oral and written communication, expertise in analyzing clinical processes and data, experience meeting with and influencing senior-level leaders at all levels, adept at preparing and presenting high-quality presentations and leading workshops, and being a proactive, self-driven team player.


Responsibilities

Following are the immediate responsibilities of the position. This is expected to evolve over time in other areas of pharmaceutical data governance.

  • Provide support for biostatisticians, translational scientists, researchers, and other clinical data analysts in the governance process for accessing clinical data (no biostatistics or translational science experience needed).
  • Drive data stewardship for clinical studies, sites, investigators and products.
  • Work with business functions to help define data definitions, standards and glossaries.
  • Maintaining business glossaries and catalogs in Collibra for business functions.
  • Drive adoption of governed data assets.
  • Create and deliver high quality documentation and presentations.


Qualifications – Required

  1. Strong pharmaceutical and clinical background with deep understanding of clinical trial processes, study lifecycle, and regulated data environments.
  2. Deep understanding of clinical trial data lifecycle, data types, data usage, data management, related roles and responsibilities.
  3. Strong communication and stakeholder engagement skills, with the ability to explain data governance methodologies, standards, and business value to both technical and non-technical audiences.
  4. Ability to lead and influence governance discussions by facilitating workshops, gathering requirements, driving consensus on definitions and standards, and supporting adoption of governed clinical data assets across the organization.
  5. Very strong written and oral communication skills.


Qualifications – Strong Plus

  1. Experience with Master Data Management (MDM) to support the mastering and governance of critical clinical entities such as clinical studies, sites, investigators, and products.
  2. Experience with data sharing for secondary use of clinical study data.
  3. Strong knowledge of data governance principles and methodologies including data ownership, stewardship, and metadata management.
  4. Hands-on experience with defining business data glossaries (terms, definitions), data standards, data-related roles, data management/governance processes, etc.
  5. Experience with data quality, including defining data quality rules, monitoring data issues, tracking remediation, and establishing meaningful data quality measures and KPIs.
  6. Familiarity with enterprise data governance platforms such as Collibra or similar tools used for data catalogs, glossary management, data lineage, data stewardship.


Thanks


Please contact me if you are interested.


Thank You,


Minakshi Sangwan

Recruiting Lead - US Recruitment

O 732-339-3518

E Minakshi.sangwan@aequor.co

Apply