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Manager Predictive Analytics Jobs in Newark, NJ (NOW HIRING)

Senior Analyst, Analytics

Manhattan, NY · On-site

$90 - $98.50/hr

... management and advanced report production * Practical skills with ability to derive actionable ... Marketing analytics, including predictive analytics, digital attribution modeling, and market ...

New

... predictive and easy-to-use analytical capabilities. The successful candidate will combine strong quantitative judgment with strategic leadership, people development and change management. They will ...

... predictive and easy-to-use analytical capabilities. The successful candidate will combine strong quantitative judgment with strategic leadership, people development and change management. They will ...

Risk Analyst

New York, NY · On-site

$100K - $175K/yr

Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS. * Experience with machine learning models for fraud detection and predictive analytics. * Familiarity ...

Risk Analyst

New York, NY · On-site +1

$100K - $175K/yr

Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS. * Experience with machine learning models for fraud detection and predictive analytics. * Familiarity ...

Risk Analyst

New York, NY · Remote

$100K - $175K/yr

Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS. * Experience with machine learning models for fraud detection and predictive analytics. * Familiarity ...

Familiarity with agile project management methods and Jira * Familiarity with AI and agentic AI systems * Understanding of advanced or predictive analytics * Understanding of data governance ...

New

Showing results 21-40

Manager Predictive Analytics information

See Newark, NJ salary details

$67.4K

$131.1K

$187.2K

How much do manager predictive analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for manager predictive analytics in Newark, NJ is $131,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $155,800.00 per year, depending on experience, location, and employer.

What is a manager predictive analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

What are the key skills and qualifications needed to thrive as a manager predictive analytics?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a manager predictive analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

What are the most commonly searched types of Predictive Analytics jobs in Newark, NJ?

The most popular types of Predictive Analytics jobs in Newark, NJ are:

What are popular job titles related to Manager Predictive Analytics jobs in Newark, NJ?

For Manager Predictive Analytics jobs in Newark, NJ, the most frequently searched job titles are:

What cities near Newark, NJ are hiring for Manager Predictive Analytics jobs?

Cities near Newark, NJ with the most Manager Predictive Analytics job openings:

Manager, Marketing and Media Analytics

Tiffany & Co.

New York, NY

$122K - $150K/yr

Full-time

Re-posted 28 days ago


Tiffany & Co. rating

7.2

Company rating: 7.2 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

9th of 30 rated jewelry retailers


Job description

We are seeking a highly analytical and data-driven 'Manager, Marketing and Media Analytics' to optimize our marketing effectiveness and campaign performance. This role involves collecting, analyzing, and interpreting marketing and media data to provide actionable insights and drive strategic decision-making. The ideal candidate will blend technical expertise, business acumen, and strong communication skills to translate complex data into clear recommendations. This position reports to the VP of Global Media and is responsible for managing the development, maintenance, analysis, and budgets across all regions, utilizing data visualization and storytelling. The role will also be responsible for maintaining media dashboards leveraged for Senior Leadership team. 

  • Data Management and Modeling:

    • Liaise with multifunctional teams (Tiffany, LVMH) to identify sophisticated modeling opportunities (e.g., attribution, lifetime value, predictive analytics, MMM, segmentation).

    • Collect and integrate data from various platforms (e.g., Total marketing tracker, Google Analytics, social media, ad platforms, CRM, email, website analytics, internal/external dashboards).

    • Maintain data accuracy, consistency, and integrity.

    • Develop and maintain data dashboards and reports for marketing and media campaign KPIs.

  • Performance Analysis and Insight Generation:
    • Analyze marketing and media campaign performance, identifying trends and anomalies.
    • Conduct in-depth analysis of audience behavior, campaign effectiveness, and conversion funnels.
    • Evaluate the ROI of marketing channels and initiatives.
    • Analyze total marketing and media spend by market, by collection to ensure sufficiency and appropriate support of collections globally
    • Translate complex data into clear, actionable insights and strategic recommendations.
    • Ensure regional and global marketing teams deliver actionable, high-quality insights for strategic decisions and ROI optimization.
  • Strategic Development and Optimization:
    • Develop and implement the overall marketing and media analytics strategy aligned with business objectives.
    • Collaborate with marketing managers to define measurable campaign goals.
    • Identify optimization opportunities across all marketing and media channels.
    • Contribute to marketing strategies based on data-driven insights.
    • Stay updated on industry trends, best practices, and emerging technologies in marketing analytics.
  • Stakeholder Collaboration, Communication, and Tooling:
    • Act as a key contributor to marketing leadership, product teams, and executive management.
    • Communicate complex analytical findings and strategic recommendations to non-technical stakeholders, influencing decision-making.
    • Collaborate with IT and data engineering to ensure robust data infrastructure.
    • Prepare regular and ad-hoc reports and presentations outlining performance, insights, and recommendations.
    • Present findings to various audiences, including marketing leadership, product teams, and sales.
    • Proficiency in marketing analytics platforms (e.g., Google Analytics), data visualization tools (e.g., Power BI, Google Data Studio), and familiarity with ad platform analytics (e.g., Google Ads, Facebook Ads Manager, LinkedIn Campaign Manager).

Qualifications:

  • Bachelor's degree in a quantitative field (e.g., Marketing, Business, Statistics, Economics, Computer Science) with 8+ years of experience in marketing or media analytics.
  • Proven expertise in data analysis, interpretation, and reporting, coupled with a strong understanding of digital marketing channels, advertising platforms, and performance metrics.
  • Excellent analytical, problem-solving, and detail-oriented skills.
  • Proficiency in Microsoft Excel (advanced functions, pivot tables) and experience with marketing analytics platforms (e.g., Google Analytics), data visualization tools (e.g., Power BI, Google Data Studio), and ad platform analytics (e.g., Google Ads, Facebook Ads Manager, LinkedIn Campaign Manager).
  • Strong communication and presentation skills, with the ability to articulate complex data insights to non-technical audiences.
  • Ability to work independently and collaboratively in a fast-paced environment, with preferred experience in luxury brands, digital/social/emerging technologies, managing media budgets, and global environments.

The hiring range for this position ranges from $122,485 - $150,000. The rate of pay offered will be dependent upon candidates' relevant skills and experience.


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