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Data Center Analyst Remote Jobs in Connecticut (NOW HIRING)

Gartner

Data Analyst

Stamford, CT · On-site +1

Gartner offers a hybrid, flexible environment, with remote work that allows associates great ... Candidates that apply will need to reside within a reasonable proximity to a Gartner Center of ...

IQVIA

Data Analytics Analyst II

Hartford, CT · Remote

$56K - $140K/yr

The Role of a PASS Data Analyst: Analysts begin under the guidance of more senior team members, but ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

Icon Health

Senior Data Analyst

Stamford, CT · On-site +1

$100K - $120K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value ... Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify ...

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Data Center Analyst Remote information

What does a Data Center Analyst do when working remotely?

A remote Data Center Analyst monitors, manages, and troubleshoots data center operations from a remote location. They use specialized software tools to track system performance, oversee network and server health, and respond to alerts or incidents as they arise. Their responsibilities may also include analyzing trends, ensuring security protocols are followed, and coordinating with on-site staff for physical tasks. This role requires strong technical skills, attention to detail, and the ability to work independently while supporting a team remotely.

What are the key skills and qualifications needed to thrive as a Data Center Analyst (Remote), and why are they important?

To thrive as a Data Center Analyst (Remote), you need a solid understanding of network infrastructure, server management, and data security, often supported by a degree in IT or a related field. Familiarity with monitoring tools, ticketing systems, and certifications like CompTIA Server+ or Cisco CCNA are typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills are essential for success in this position. These competencies ensure reliable operations, rapid issue resolution, and seamless collaboration in a distributed work environment.

What are some common challenges a Data Center Analyst faces when working remotely, and how can they be addressed?

Remote Data Center Analysts often encounter challenges such as troubleshooting hardware issues without physical access, coordinating with on-site staff, and managing secure data access. To address these, analysts rely heavily on remote monitoring tools, strong communication skills, and established protocols for escalating issues that require hands-on intervention. Building strong relationships with on-site teams and staying updated on remote management technologies can significantly improve efficiency and problem resolution.
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Data Center Analyst Remote jobs near you

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Other

Posted yesterday

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Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates We are partnering with a growing biotech organization seeking a Clinical Data Manager/Data Analyst to support ongoing and upcoming clinical programs across multiple therapeutic areas. This role will sit within a highly collaborative clinical development team and is ideal for a hands-on, analytical Clinical Data Manager who enjoys digging into the data, identifying trends or issues proactively, and developing creative solutions to improve data quality and study execution. The client is seeking someone resourceful and technically curious - not just process-oriented - with the ability to independently explore datasets, generate meaningful reports, and surface potential issues early

The ideal candidate will bring a blend of traditional clinical data management expertise along with strong data review, querying, and analytical skills. Experience with R, SQL, SAS, or other data interrogation and reporting tools is highly desirable. Key Responsibilities Support clinical data management activities across studies from start-up through database lock Perform hands-on data review and exploratory analysis to identify data trends, inconsistencies, missing data patterns, and potential study risks Develop custom reports, listings, and data visualizations to support proactive data cleaning and study oversight Utilize R, SQL, SAS, or similar tools to query, analyze, and troubleshoot clinical datasets Partner with CROs and vendors to ensure high-quality, timely data delivery Collaborate cross-functionally with Clinical Operations, Biostatistics, Statistical Programming, Medical, and Safety teams on data review strategies and issue resolution Contribute to development and review of key deliverables including: Data Management Plans (DMPs) eCRF design and completion guidelines Edit checks and query logic User Acceptance Testing (UAT) Data review plans and cleaning processes Support ongoing query management and ensure data integrity, consistency, and inspection readiness Assist with implementation of data standards, reporting enhancements, and process improvements Work independently to investigate data anomalies and recommend practical solutions in a fast-paced biotech environment Qualifications BS in a scientific, technical, or clinical discipline Approximately 5-8 years of clinical data management experience within biotech, pharma, or CRO environments Strong hands-on experience reviewing and interrogating clinical trial data Experience using R, SQL, SAS, or other querying/reporting tools to analyze clinical data and generate custom reports Experience with EDC systems such as Medidata Rave, Oracle, or Veeva Working knowledge of CDISC standards (SDTM/ADaM) and downstream data usage Experience supporting Phase II and/or III clinical trials; CNS experience is a plus Exposure to CRO/vendor oversight Understanding of clinical data structures and dictionaries including MedDRA and WHODrug Strong critical thinking and problem-solving skills with the ability to work independently Resourceful, proactive, detail-oriented, and comfortable operating in a dynamic biotech environment Strong communication and cross-functional collaboration skills.

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