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Analytics Associate Jobs in Edison, NJ (NOW HIRING)

Equal Ventures

Analyst/Associate

New York, NY · On-site

$60K - $150K/yr

About the Role As an Analyst/Associate at Equal Ventures, you will work with the partnership to develop and refine investment theses, source new investments, and support portfolio companies from seed ...

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Analytics Associate information

See Edison, NJ salary details

$3.4K

$6.5K

$9.3K

How much do analytics associate jobs pay per month?

As of Jul 16, 2026, the average monthly pay for analytics associate in Edison, NJ is $6,512.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,908.33 and $6,941.67 per month, depending on experience, location, and employer.

What can you do with an associate's in data analytics?

An analytics associate with an associate's degree can perform data collection, cleaning, and analysis using tools like Excel, SQL, and Tableau. They often support data-driven decision-making, generate reports, and assist in identifying trends for businesses or organizations.

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.

Can I be a data analyst with no experience?

While many data analyst roles prefer candidates with some experience, entry-level positions are available that focus on foundational skills such as Excel, SQL, and data visualization tools. Gaining relevant certifications or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

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 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 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.

Is 40 too late for data science?

For an Analytics Associate or similar data-related roles, starting a career at 40 is possible, especially with relevant skills like data analysis, programming, and familiarity with tools such as SQL or Python. Many professionals transition into data science later in their careers by gaining certifications or additional training, and age is generally not a barrier if the candidate demonstrates strong analytical skills and experience.
What are the most commonly searched types of Analytics jobs in Edison, NJ? The most popular types of Analytics jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Analytics Associate jobs? Cities near Edison, NJ with the most Analytics Associate job openings:
Analytics Associate jobs near you
Infographic showing various Analytics Associate job openings in Edison, NJ as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 2% Part Time, 2% Contract, and 10% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $78,148 per year, or $37.6 per hour.
Quant Analytics Senior Associate

Quant Analytics Senior Associate

JPMorgan Chase & Co.

Brooklyn, NY • On-site

$104K - $150K/yr

Full-time

Medical, Retirement

Posted 2 hours ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description


Job Summary
You'll join the Card Data & Analytics team, a strategic partner to the Card organization using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you'll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Chase Card portfolio.
As a Quantitative Analytics Senior Associate at JPMorganChase within the Card Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will assess portfolio performance to uncover optimization opportunities and translate customer behavioral data-including spend, payment, and engagement patterns-into insights that shape marketing strategies and enhance card profitability through targeted campaigns and product innovations. You'll collaborate across marketing, product, finance, and risk to turn complex analyses into clear recommendations that influence resource allocation, campaign strategy, and portfolio management.
Job responsibilities
  • Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
  • Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
  • Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
  • Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions using modern visualization and reporting tools
  • Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
  • Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
  • Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
  • Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
  • Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders

Required qualifications, capabilities and skills
  • Bachelor's degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 3+ years of relevant experience, or an advanced degree with 2+ years of experience
  • Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
  • Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives
  • Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
  • Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms
  • Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data
  • Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives
  • Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions
  • Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences

Preferred qualifications, capabilities and skills
  • Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
  • Demonstrated ability to influence prioritization and decisions through structured analytics storytelling and clear business recommendations
  • Experience working with cross-functional partners in marketing, product, finance, and risk to deliver measurable business outcomes
  • Experience identifying and scaling process improvements that enhance data quality, repeatability, and reporting efficiency

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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