1

Advanced Analytics Manager Jobs in Edison, NJ (NOW HIRING)

Lead Analytics Manager

Jersey City, NJ · Remote

$120K - $150K/yr

Advanced LookML Development (or equivalent in Power BI / Tableau) : Architects complex models with ... Account Management teams to uncover meaningful trends, conduct retrospective analyses across ...

Manager, Analytics (ADBL191)

Newark, NJ · On-site

$109K - $185K/yr

Manager, Analytics Location: 1 Washington Park, Newark, NJ, 07102 Duties: Leverage datasets from ... Advanced Excel - Programming in Python or R to model data using advanced statistical methods ...

Showing results 21-40

Advanced Analytics Manager information

See Edison, NJ salary details

$61.2K

$94.7K

$124.9K

How much do advanced analytics manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for advanced analytics manager in Edison, NJ is $94,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $112,700.00 per year, depending on experience, location, and employer.

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

AspectAdvanced Analytics ManagerData Scientist
Required CredentialsBachelor's or Master's in Analytics, Data Science, or related fields; often managerial experienceBachelor's or Master's in Data Science, Statistics, or related fields; sometimes PhD
Work EnvironmentLeads analytics teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in teams
Employer & Industry UsageUsed across industries for strategic insights and team leadershipCommonly employed for developing models and insights at technical levels

The Advanced Analytics Manager oversees analytics teams and strategic projects, focusing on leadership and project management. Data Scientists primarily perform technical data analysis and model development. While both roles require strong analytical skills, the manager role emphasizes leadership and coordination, whereas the Data Scientist role is more technical and hands-on.

Infographic showing various Advanced Analytics Manager job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $94,728 per year, or $45.5 per hour.

Associate Director, Advanced Analytics

KMK Consulting, Inc.

Morris Plains, NJ • On-site

Full-time

Re-posted 9 days ago


Job description

Company Overview 

KMK Consulting Inc. is a leading provider of actionable insights in the life sciences industry, specializing in Commercial Analytics, Sales Planning & Operations, and HEOR|RWE. We partner with pharmaceutical and biotech clients to transform complex data into strategic solutions that drive commercial success, optimize patient journeys, and enhance real-world outcomes. Our tailored approach—whether project-based, on-site, or hybrid—ensures we support our clients every step of the way, fostering innovation and measurable impact. Headquartered with a global presence, KMK is committed to elevating success and improving patient care through evidence-based analytics and deep industry expertise. Learn more at kmkconsultinginc.com. 
 

Role Summary 

The Associate Director, Commercial Analytics, will serve as a key client-facing leader within KMK's Commercial Analytics Center of Expertise. This role combines strategic account management with hands-on delivery of advanced analytics solutions, focusing on patient claims analytics, brand analytics, marketing analytics, and predictive analytics. You will manage a portfolio of high-value client relationships, lead and mentor global teams to deliver tailored insights, and drive business growth through innovative data-driven solutions. As a culture carrier, you will mentor junior staff, promote best practices, and embody KMK's commitment to excellence, collaboration, and client success. 
 

Key Responsibilities 

  • Account Management & Client Engagement: Build and maintain strong, long-term relationships with clients’ senior stakeholders. Act as the primary point of contact for commercial analytics needs, managing expectations, conducting regular business reviews, and identifying opportunities for expansion. Translate client business challenges into actionable analytics projects. 

  • Commercial Analytics Delivery: Lead the design, execution, and interpretation of analytics projects, with a focus on patient claims analytics, brand analytics, marketing analytics, and predictive analytics. Serve as a subject matter expert, guiding internal teams to ensure all deliverables are high-quality, timely, and exceed expectations. 

  • Project Leadership & Team Management: Oversee end-to-end project delivery, including scoping proposals, resource allocation, timeline management, and budget oversight. Mentor and develop a team of analysts and managers, fostering skill growth. 

  • Business Development & Innovation: Contribute to proposal development, ensuring methodological rigor and alignment with client needs. Identify growth opportunities for the firm, including new service offerings and improvements of existing processes. Stay abreast of industry trends in healthcare data, service offerings and AI/ML applications to innovate offerings and enhance KMK's competitive edge. 

  • Stakeholder Communication & Impact: Present analytical findings through compelling visualizations, reports, and executive summaries. Influence cross-functional teams and clients to drive data-informed decisions that elevate commercial performance and patient care outcomes. 

Qualifications & Experience 

  • Education: Bachelor's degree in Business, Analytics, Statistics, Life Sciences, or a related field; Master's or MBA preferred. 

  • Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director). Proven track record in patient claims, brand, marketing, and/or predictive analytics required. Experience with life sciences datasets (e.g., claims, EMR, payer data) and coding skills (SAS, Python, SQL, etc.) and knowledge of data visualization software such as Tableau or Power BI. 

  • Technical Skills: Strong proficiency in data analysis, statistical modeling, and coding (SQL, Python/R preferred). Familiarity with commercial operations tools (e.g., CRM, incentive compensation platforms) and advanced analytics methodologies (e.g., marketing mix modeling, segmentation). 

  • Soft Skills: Exceptional communication and presentation abilities, with experience influencing senior executives. Strategic thinker with a client-centric mindset, strong problem-solving skills, and a passion for mentoring. Ability to thrive in a fast-paced, collaborative environment while managing multiple priorities. 

What We Offer 

Competitive compensation package, including base salary, performance bonuses.  

Hybrid work model with opportunities for on-site collaboration and remote flexibility. 

Powered by JazzHR

Y4haXSY0No