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Analytics Associate Jobs in New Jersey (NOW HIRING)

Associate Director, Advanced Analytics

Whippany, NJ ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Associate Director, Advanced Analytics will manage the people and processes responsible for quality client program measurement, reporting, timeliness, and output, including best practices in ...

Associate Director, Advanced Analytics

Whippany, NJ ยท On-site +1

$107K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Associate Director, Advanced Analytics will manage the people and processes responsible for quality client program measurement, reporting, timeliness, and output, including best practices in ...

Associate Director, Advanced Analytics

Whippany, NJ ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Associate Director, Advanced Analytics will manage the people and processes responsible for quality client program measurement, reporting, timeliness, and output, including best practices in ...

Financial Analyst

Englewood, NJ

  • Medical

  • Dental

  • Vision

  • Retirement

The Analyst / Associate will be involved in all facets of property analysis and be responsible for existing portfolio reporting and forecasting. The position will support the Asset Management ...

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role OverviewThe Associate Director (AD), Omnichannel Advanced Analytics, is a senior analytics leader responsible for driving insight generation and performance measurement across non-personal ...

Showing results 41-60

Analytics Associate information

See New Jersey salary details

$3.3K

$6.4K

$9.1K

How much do analytics associate jobs pay per month?

As of Aug 20, 2026, the average monthly pay for analytics associate in New Jersey is $6,386.42, according to ZipRecruiter salary data. Most workers in this role earn between $5,791.67 and $6,808.33 per month, depending on experience, location, and employer.

How does an analytics associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

What are the key skills and qualifications needed to thrive as an analytics associate, and why are they important?

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

What are the most commonly searched types of Analytics jobs in New Jersey?

The most popular types of Analytics jobs in New Jersey are:

What are popular job titles related to Analytics Associate jobs in New Jersey?

For Analytics Associate jobs in New Jersey, the most frequently searched job titles are:

What cities in New Jersey are hiring for Analytics Associate jobs?

Cities in New Jersey with the most Analytics Associate job openings:

What are popular job titles related to Analytics Associate jobs in NJ?

For Analytics Associate jobs in NJ, the most frequently searched job titles are:

Infographic showing various Analytics Associate job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $76,637 per year, or $36.8 per hour.

Associate Director/ Director - Commercial Analytics (Pharma & Lifescience)

Tiger Analytics Inc.

Jersey City, NJ โ€ข On-site

Full-time

Posted 19 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

  • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs
  • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
  • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
  • Experience in generating insights from reports and summarizing for brand teams
  • You will be responsible for account management, client relationships, and account growth
  • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
  • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
  • Experience working with all levels of management and consulting with key business stakeholders.
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
  • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals

Requirements

  • 10-16 years of professional work experience with at least 9 years in data analytics
  • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Strong knowledge of Life Science and Pharma domain
  • Experience in specialty drug and rare diseases
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau
  • Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy
  • Experience in developing hypotheses and validating them through data analysis to identify and investigate trends
  • Experience in building and maintaining reports, with a focus on optimizing effort through automation
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.