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Data Analyst Data Science Jobs in Ledgewood, NJ (NOW HIRING)

Lead Insurance Data Scientist

Summit, NJ ยท On-site

$100 - $150/hr

At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment. * Strong organizational skills with the ability to manage ...

Data Science Tutor

Summit, NJ ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Elizabeth, NJ ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Clifton, NJ ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Paterson, NJ ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Westfield, NJ ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Business Analyst

Denville, NJ ยท On-site

$70 - $75/hr

Bachelor's degree in Business, Information Systems, Computer Science, Finance, or a related field. * 10+ years of experience as a Business Analyst, Data Analyst, or Data Business Analyst. * Strong ...

At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment. โ€ข Strong organizational skills with the ability to manage ...

Senior Analyst - Data Products

Warren, NJ ยท On-site

$134K - $175K/yr

Bachelor's degree in Information Systems, Computer Science, Analytics, Business, or a related field. * 5-8 years of experience in data analysis, business analysis, or data product delivery within an ...

(USA) Data Analyst II

Clifton, NJ ยท On-site

$84K - $156K/yr

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Sr Data Analyst

Short Hills, NJ ยท Hybrid

$93K - $118K/yr

Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field. Minimum Years of Experience * 4 years' experience in a experience as a Data Analyst or ...

Data Analyst II

Bridgewater, NJ ยท On-site

$40 - $42/hr

Our client is currently seeking a Data Analyst II The CX Insights and Engagement Team designs and ... A background in marketing, computer science, business transformation, data science, or customer ...

Senior Analyst - Data Products

Warren, NJ ยท Hybrid

$134K - $175K/yr

Bachelor's degree in Information Systems, Computer Science, Analytics, Business, or a related field. * 5-8 years of experience in data analysis, business analysis, or data product delivery within an ...

(USA) Data Analyst II

East Orange, NJ ยท On-site

$84K - $156K/yr

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

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Data Analyst Data Science information

See Ledgewood, NJ salary details

$34.1K

$83K

$136.6K

How much do data analyst data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst data science in Ledgewood, NJ is $82,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $97,400.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What job categories do people searching Data Analyst Data Science jobs in Ledgewood, NJ look for? The top searched job categories for Data Analyst Data Science jobs in Ledgewood, NJ are:
What cities near Ledgewood, NJ are hiring for Data Analyst Data Science jobs? Cities near Ledgewood, NJ with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Ledgewood, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,983 per year, or $39.9 per hour.

Lead Insurance Data Scientist

Socket.dev

Summit, NJ โ€ข On-site

$100 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Come join our team!

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and โ€œbring itโ€ every day, EPIC is always looking for people who have โ€œthe right stuffโ€ โ€“ people who know what they want and arenโ€™t afraid to make it happen.

Headquartered in New York City and founded in 2007, our company has over 4,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees.

Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team!

**JOB
OVERVIEW:**

The
Data Scientist
role is a unique opportunity for actuaries and data scientists who want to apply analytical rigor to real business challenges while expanding into technology-enabled solution development. In this role, you will help shape client-facing and operational analytics that drive smarter decisions across the organization.

Join our Enterprise Data & Analytics team and play a central role in advancing data analysis, visualization, and innovation across our Property & Casualty and Employee Benefits businesses. You will work hands-on to build, validate, and operationalize analyses, dashboards, and analytics applications across EPICโ€™s commercial lines and benefits portfolio. Working within a lean, high-impact team, you will collaborate closely with solution engineers and business stakeholders to bring analytics into production on the Azure Databricks platform.

LOCATION:

Hybrid - at least 3 days a week in one of our EPIC offices, preferably San Ramon CA but open to any of our office locations
*(for a full list, visit:*
*https://www.epicbrokers.com/about/locations/)*

WHAT YOUโ€™LL DO:
  • Collect, integrate, cleanse, and manage data from a variety of insurance-related sources.
  • Perform exploratory data analysis to identify trends, patterns, and actionable insights within complex datasets.
  • Develop analytical solutions and process efficiencies using statistical methods, database technologies, and programming tools.
  • Create dashboards, visualizations, and reporting assets that communicate insights clearly to business stakeholders.
  • Prototype new ideas, support statistical research, and apply data science techniques to address recurring business and data quality challenges.
WHAT YOUโ€™LL BRING: Required Qualifications
  • Bachelorโ€™s degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, or a related field, or an equivalent combination of education and experience.
  • Proficiency with analytical tools and platforms such as Python, SQL, Excel, Tableau, Power BI, or Databricks.
  • Experience working with relational databases and applying core data analysis techniques.
  • Required: At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment.
  • Strong organizational skills with the ability to manage multiple priorities in a self-directed environment.
  • Excellent verbal and written communication skills, with the ability to work effectively across functions.
  • Demonstrated problem-solving ability and sound analytical judgment.
Preferred Qualifications
  • Experience in the insurance industry or broader financial services sector.
  • Strong intellectual curiosity, a proactive approach to problem-solving, and exceptional attention to detail.
  • Familiarity with hypothesis testing and other statistical evaluation techniques.
COMPENSATION:

The national average salaryfor this role is $100 000.00 - $150 000.00 in base pay and exclusive of any bonuses or benefits. The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data.

WHY EPIC:

EPIC has over 60 offices and 4,000 employees nationwide โ€“ and weโ€™re growing! Itโ€™s a great time to join the team and be a part of this growth. We offer:

  • Generous Paid Time off
  • Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
  • Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
  • Generous employee referral bonus program of $1,500 per hired referral
  • Employee recognition programs for demonstrating EPICโ€™s values plus additional employee recognition awards and programs (and trips!)
  • Employee Resource Groups: Womenโ€™s Coalition, EPIC Veterans Group
  • Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
  • Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
  • Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
  • 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
  • EPIC Gives Back โ€“ Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
  • Weโ€™re in the top 10 of property/casualty agencies according to โ€œInsurance Journalโ€

To learn more about EPIC, visit our Careers Page:https://www.epicbrokers.com/about/epic-careers/.

*EPIC embraces diversity in all its various formsโ€”whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.*

*California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf.*

*Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.*

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