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Remote Investment Operations Associate Jobs in New Jersey

Associate Tax Research Specialist

Trenton, NJ · Remote

$58K - $78K/yr

Associate Tax Research Specialist United States Monday to Friday 8:00 am to 5:00 pm Remote We are ... Experience with Visual Studio, Azure DevOps is a plus * Exposure to and interest in tax software ...

$90K - $110K/yr

Preference for Toronto, Ottawa or Montreal, but open to remote candidates (within North America ... Investment sourcing/origination Investment Banking, Management Consulting, Corporate Development ...

Associate Creative Director, Art

Montclair, NJ · On-site +1

$140K - $180K/yr

This role is open to remote candidates in the United States or Canada, with a preference for ... operations of the design team, including setting priorities, assigning resources, and ensuring ...

Associate Creative Director, Art

Montclair, NJ · On-site +1

$140K - $180K/yr

This role is open to remote candidates in the United States or Canada, with a preference for ... operations of the design team, including setting priorities, assigning resources, and ensuring ...

Showing results 41-60

Remote Investment Operations Associate information

What is the difference between Remote Investment Operations Associate vs Remote Investment Analyst?

AspectRemote Investment Operations AssociateRemote Investment Analyst
Primary FocusHandling operational tasks, trade settlements, and data managementConducting market research, financial analysis, and investment evaluations
Required SkillsAttention to detail, data management, basic financial knowledgeAnalytical skills, financial modeling, market analysis
CertificationsTypically none required; relevant certifications like CFA Level I may be a plusOften requires CFA Level I or similar credentials
Work EnvironmentSupportive, process-oriented, often back-officeResearch-driven, client-facing, strategic

While both roles support investment firms, the Remote Investment Operations Associate primarily manages operational tasks and data accuracy, whereas the Remote Investment Analyst focuses on analyzing markets and making investment recommendations. Understanding these differences helps candidates align their skills and career goals with the right position.

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Cities in New Jersey with the most Remote Investment Operations Associate job openings:

Associate Director, Omnichannel Advanced Analytics

Legend Biotech US

Bridgewater, NJ • On-site, Remote

Full-time

Re-posted 9 days ago


Key responsibilities

  • Own and evolve the omnichannel analytics roadmap for nonpersonal promotion, including measurement frameworks, KPIs, and performance readouts.

  • Quantify the effectiveness of nonpersonal promotion tactics and assess channel contribution and interaction effects across the customer journey.

  • Design and execute test-and-learn initiatives to evaluate new tactics, content strategies, and orchestration approaches.


Job description

Legend Biotech is seeking an Associate Director, Omnichannel Advanced Analytics as part of the Insights & Analytics team based in Bridgewater, NJ.

Role Overview

The Associate Director (AD), Omnichannel Advanced Analytics, is a senior analytics leader responsible for driving insight generation and performance measurement across nonpersonal promotion (NPP) and omnichannel engagement. This role builds a rigorous, scalable understanding of which digital and nonpersonal tactics work, for whom, and why-enabling datadriven optimization of channel strategy, content, orchestration, and investment across the customer journey.

The AD partners closely with Commercial, Marketing, Field Operations, and IT to translate complex data into actionable insights, influence strategic decisionmaking, and embed advanced analytics into omnichannel planning and execution. This role also provides people leadership and thought leadership within the broader Insights & Analytics organization.

Key Responsibilities

  • Own and evolve the omnichannel analytics roadmap for NPP, including measurement frameworks, KPI definitions, testandlearn approaches, and standardized performance readouts aligned to brand and marketing decision cycles.
  • Establish clear success metrics and accountability for nonpersonal and digital engagement, ensuring consistency across brands, channels, and customer segments.
  • Serve as the subjectmatter expert on omnichannel and NPP measurement, advising senior Commercial and Marketing leaders on performance interpretation and optimization opportunities.
  • Quantify the effectiveness and impact of NPP tactics, including but not limited to email, web journeys, paid media, webinars/virtual programs, reptriggered digital, and other nonpersonal touchpoints.
  • Assess channel contribution and interaction effects across the customer journey, supporting smarter investment allocation and engagement sequencing.
  • Design and execute testandlearn initiatives to evaluate new tactics, content strategies, and orchestration approaches.
  • Develop and operationalize advanced analytic assets that enable smarter, more personalized engagement, including:
    • Customer segmentation and audience prioritization models
    • Response and propensity models (e.g., engagement likelihood, nextbestaction, or nextstep likelihood)
    • Content and channel optimization models (what message works, where, and when)
    • Journey analytics, including pathing analysis, dropoff identification, and sequencing optimization.
  • Translate advanced analytics outputs into clear, actionable recommendations for nontechnical stakeholders.
  • Partner closely with Commercial, Brand Marketing, Digital, Field Operations, and Market Research teams to align analytics priorities with business objectives and omnichannel strategy.
  • Collaborate with IT, Data Engineering, and platform teams to ensure scalable, compliant, and reliable data pipelines, analytic environments, and reporting solutions that support omnichannel use cases.
  • Contribute to the broader Insights & Analytics leadership team by shaping standards, best practices, and longterm capability building in advanced analytics and omnichannel measurement.
  • Lead the development of executiveready performance readouts, insights summaries, and recommendations for senior leadership.
  • The Associate Director will work independently to make decisions related to technical direction, methodologies, approaches on how to address key business questions. Strong collaboration with cross functional teams and robust alignment with Manager will be needed in the identification of Key Business Questions and priorities

Requirements

  • Master's degree (preferred) or bachelor's degree in business, Analytics, Economics, Data Science, or related field; advanced degree preferred.
  • 8-12+ years of experience in pharmaceutical or life sciences analytics, with strong focus on omnichannel, digital, and nonpersonal promotion (NPP) measurement.
  • Demonstrated experience at the Associate Director or equivalent level, owning analytics products, dashboards, or performance frameworks used by senior leadership and commercial teams.
  • Proven expertise in omnichannel and digital engagement analytics, including email, web, media, virtual programs, CRMtriggered digital, and crosschannel orchestration.
  • Strong understanding of omnichannel measurement and optimization approaches, including segmentation, engagement and response modeling, journey analytics, and channel effectiveness assessment.
  • Deep knowledge of commercial pharmaceutical data (sales, claims, CRM, engagement, media, market research) and KPI frameworks.
  • Strong leadership and communication skills, with the ability to translate complex analyses into clear, decisionready insights for executive audiences.
  • Proven crossfunctional collaborator with experience partnering closely with Commercial, Marketing, Digital, Sales Operations, IT, and Data Engineering.
  • Experience enabling AI and advancedanalytics outputs (e.g., segmentation, propensity scores, nextbestaction) through reporting and insight tools, in partnership with Advanced Analytics teams.
  • Demonstrated ability to automate reporting, scale selfservice analytics, and improve speedtoinsight while maintaining data quality and governance.

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