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Assistant Remote Data Visualization Jobs in New York

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New York, NY [Remote] Contract Duration: Contract until 12/31/2026 Work Hours: 9:00 AM - 5:00 PM ... Experience in data visualization platforms (Tableau, PowerBI) * Familiarity with data governance ...

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Experience with data visualization tools (Tableau, Looker, or similar) This position is ideal for ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Experience with data visualization tools (Tableau, Looker, or similar) This position is ideal for ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Build intuitive user interfaces and robust backend systems for data visualization, model ...

Office Coordinator - Remote

Rutherford, NJ · Remote

$18.25 - $24.50/hr

Data Entry Clerk * Client Services Representative * Office Administrator * Virtual Assistant * Scheduling Coordinator * Executive Assistant * Receptionist Benefits * 100% Remote Work Environment

New

... visualization. We are looking for a hands-on technical data lead who can successfully manage ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

... visualization. We are looking for a hands-on technical data lead who can successfully manage ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ... Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar)

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Assistant Remote Data Visualization information

How does an Assistant Remote Data Visualization professional typically collaborate with other team members, given the remote nature of the role?

As an Assistant Remote Data Visualization professional, you will regularly collaborate with data analysts, project managers, and subject matter experts through virtual meetings, shared dashboards, and real-time messaging platforms. Remote work relies heavily on clear digital communication and documentation to ensure everyone is aligned on project goals and visualization requirements. You may also use collaborative tools like cloud-based data platforms and version control systems to update and share your work. Building strong online relationships and proactively seeking feedback are key to successful teamwork in this environment.

What are Assistant Remote Data Visualization jobs?

Assistant Remote Data Visualization jobs involve supporting data analysts or visualization specialists in creating charts, graphs, dashboards, and other visual representations of data—while working remotely. These roles typically include tasks like cleaning and organizing datasets, using visualization tools (such as Tableau, Power BI, or Excel), and collaborating with teams to present insights clearly. The 'assistant' aspect means you'll often work under supervision, helping to prepare materials and ensure data accuracy for reports or presentations. This job is ideal for those with good analytical skills, attention to detail, and interest in both data and design.

What is the difference between Assistant Remote Data Visualization vs Data Analyst?

AspectAssistant Remote Data VisualizationData Analyst
Required CredentialsBasic knowledge of data visualization tools, possibly some certifications in visualization softwareDegree in data science, statistics, or related field; often certifications in data analysis
Work EnvironmentRemote, collaborative with data teams, focused on visualization tasksRemote or on-site, broader data analysis responsibilities
Industry UsageUsed in tech, marketing, finance for visual reportingUsed across industries for data interpretation and decision-making

Assistant Remote Data Visualization roles focus on creating visual representations of data, often requiring familiarity with visualization tools. Data Analysts perform broader data analysis, including cleaning, interpreting, and reporting data. While both roles may work remotely and require some overlapping skills, Data Analysts typically have more extensive analytical responsibilities and educational background.

What are the key skills and qualifications needed to thrive as an Assistant Remote Data Visualization, and why are they important?

To thrive as an Assistant Remote Data Visualization, you need a solid grounding in data analysis, statistics, and visualization principles, often supported by a degree in a related field. Familiarity with tools such as Tableau, Power BI, or Python visualization libraries, as well as experience with spreadsheets and data management systems, is typically expected. Strong communication, attention to detail, and problem-solving skills help you translate complex data into clear, actionable visual insights for diverse audiences. These skills are crucial for effectively supporting data-driven decision-making and ensuring that key findings are accessible and impactful.
What are the most commonly searched types of Remote Data Visualization jobs in New York? The most popular types of Remote Data Visualization jobs in New York are:
What are popular job titles related to Assistant Remote Data Visualization jobs in New York? For Assistant Remote Data Visualization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Assistant Remote Data Visualization jobs in New York look for? The top searched job categories for Assistant Remote Data Visualization jobs in New York are:
What cities in New York are hiring for Assistant Remote Data Visualization jobs? Cities in New York with the most Assistant Remote Data Visualization job openings:
Data Scientist

Data Scientist

MM International

New York, NY • Remote

Contractor

Re-posted 6 days ago


Job description

Title:  Data Scientist

Location:  Remote

Duration 4-6 months

The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.
KEY RESPONSIBILITIES:
The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the studies’ complexity and studies’ development stage:
• Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
• Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
• Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
• Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
• Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
• Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.
Qualifications
Education & Experience
• PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
• Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example:
o PhD: 3+ years
o MS: 5+ years
o BA/BS: 8+ years
Technical – Required
• Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
• Hands-on experience working with clinical trial data.
• Proficiency with Microsoft Word, Excel, and PowerPoint.
Technical – Preferred / Strong Plus
• Experience with RAVE EDC.
• Awareness or working knowledge of CDISC, CDASH, SDTM standards.
• Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.