Top Remote Analytics Jobs in NYC
Develop dashboard and visualization tools for easy data accessibility and understandability by users. Lead KPI definition, dashboard design, and collaborate with data analysts for accurate visualization. Support various medical analytics teams with design support and promote stakeholder collaboration. Requires advanced degree in life sciences or data sciences with strong experience in data analytics and dashboard development.
Develop dashboards and visualization tools for data accessibility and understanding. Lead dashboard design, collaborate with teams, and provide design support. Promote stakeholder collaboration and gather user feedback for dashboard improvement. Requires advanced degree in life sciences or data sciences and 7+ years of experience in data analytics and dashboard development.
Develop, maintain, and monitor KPIs for evaluating key Medical Affairs activities. Analyze data to identify trends and insights. Lead cross-functional teams and manage outsource vendors for data analytics projects. Collaborate with stakeholders to ensure data analyses can be visualized effectively.
Responsible for owning and maintaining data tables tracking Key Performance Indicators (KPIs) using SQL, Excel, and Tableau. Collaborate with cross-functional teams to ensure data integrity and contribute to technological advances. Support FP&A with data analytics and reporting for Investor Relations. Expertise in SQL and Excel required.
Seeking an Executive Director, Data Products to drive monetization efforts for D/Cipher intent targeting solution. Responsibilities include developing new data products, analyzing campaign performance, and collaborating with various teams. Qualifications include a Bachelor's degree, 5+ years of programmatic monetization experience, and advanced knowledge of ad tech platforms.
Featured Jobs
As a Senior Data Analyst at Square Banking, you will partner with cross-functional teams to gain insights into customers, drive data-informed decisions, and deliver a cohesive cash flow experience. Responsibilities include prioritizing analytics, influencing product roadmap, defining feature success, and communicating key insights to executives.
Join a multidisciplinary team to invent novel medicines by applying computational techniques and developing methods for drug design. Responsibilities include peptide design, data analysis, and influencing project decisions through computational insights. Must have a minimum of 3 years of peptide-relevant experience in the drug discovery industry.
As a Data Analyst on the Square Banking Cash Flow team, you will partner with cross-functional stakeholders to drive data-informed product and marketing decisions, develop a deep understanding of cash flow products, and create visualizations to monitor product performance.
The Risk Analyst at Check is responsible for analyzing company data, monitoring payrolls, and minimizing credit and fraud risk. They will work closely with various teams to develop risk procedures and strategies, gather and analyze data, and provide feedback to improve risk processes and tools.
Lead as a Senior Manager in Data and Analytics services focusing on aligning client data strategies to their business strategy, choosing platforms, defining data needs, and migrating to a modern cloud data environment. Responsibilities include problem-solving, coaching, contributing technical knowledge, and building trusting relationships with clients. Required expertise in designing and implementing data & analytics capabilities.
Join LeafLink as a Senior Data Analyst to lead data-driven decision-making, provide proactive insights, and promote self-service analytics. Develop a deep understanding of business drivers, communicate findings to non-technical audiences, and collaborate with stakeholders to advance thought leadership in the Cannabis Data space.
The Client Analyst will be responsible for client-facing data and analytics requests, aligning campaign objectives with client goals, analyzing performance data, delivering actionable insights, and educating internal teams on analytics solutions.
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