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Data Analytics Jobs in Basking Ridge, NJ (NOW HIRING)

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1 ...

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1 ...

Data Analytics Grad Intern

Manhattan, NY ยท On-site

$20 - $30/hr

DOF's Tax Policy & Data Analytics Division reviews, analyzes, and evaluates existing and proposed policies and legislation that affect the Department of Finance and New York City in general. This ...

You'll build on your analytical skills to create solutions that process large amounts of data from our data warehouse to generate clean, correct reporting, including building out reconciliations. You ...

Strong data analytics skills, including data transformation, modeling, analysis, and visualization * Proficiency in Microsoft Excel * Experience with Power BI or similar business intelligence tools

Data Analytics Engineer

New York, NY ยท On-site

$150K - $225K/yr

You'll build on your analytical skills to create solutions that process large amounts of data from our data warehouse to generate clean, correct reporting, including building out reconciliations. You ...

Director of Data & Analytics

New York, NY ยท On-site +1

$170K - $200K/yr

ABOUT THE ROLE: We're looking for a Director of Data & Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy ...

Showing results 41-60

Data Analytics information

See Basking Ridge, NJ salary details

$25

$56

$97

How much do data analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analytics in Basking Ridge, NJ is $56.42, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $63.89 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Basking Ridge, NJ?

The most popular types of Data Analytics jobs in Basking Ridge, NJ are:

What are popular job titles related to Data Analytics jobs in Basking Ridge, NJ?

For Data Analytics jobs in Basking Ridge, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Basking Ridge, NJ look for?

The top searched job categories for Data Analytics jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Data Analytics jobs?

Cities near Basking Ridge, NJ with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,353 per year, or $56.4 per hour.

Manager Data Analytics (B2C)

HARAMAIN SYSTEMS INC.

Jersey City, NJ โ€ข On-site, Remote

$200K - $250K/yr

Full-time

Posted 25 days ago


Job description

Job Description
Role: Head of Data Analytics (B2C)
Location : Remote
Full-time role
Must have working experience in B2C mobile apps
Role Requirements
  • Looking for a head of data analytics with strong analytics skills, not heavy on data engineering.
  • Must have consumer app experience, familiarity with onboarding funnels, and consumer marketing.

Candidate Requirements
  • Must be a strategic communicator, able to work with executives and tell data stories effectively.
  • Needs to have experience in advanced analytics, SQL, and ideally some Python.

Ideal Candidate Profile
  • Strong business sense, possibly with a consulting background; able to be a thought partner at the executive level.
  • Should be a balanced player-coach, competent in managing a small team while being hands-on.

Compensation and Logistics
  • Remote role in the US, with a salary range of $200k-$250k; visa sponsorship is less preferred due to urgency.
  • Owned by Teladoc, providing stability and benefits typical of a public company

Seniority
  • 6+ years of experience in data analytics for consumer products with experience leading teams
  • Work experience
  • 2+ years working in B2C mobile apps
  • 2 - 5 years of direct management expereince is the sweet spot - looking for a Player-coach
  • Experience in a fast paced startup environment (VC backed, rapidly growing mobile app, etc.)

Hard skills
  • Has owned product analytics at a B2C software company - conversion funnels, feature adoption, retention, user segmentation
  • Updated
  • Deep understanding of subscription and mobile app metrics: trial conversion, trial-to-paid modeling, LTV, renewal rates, cohort analysis

Depth with data analytics and engineering tools (SQL, dbt, BigQuery, Python, Mixpanel, Amplitude, etc.)
Experience with mobile UA attribution - MMP (AppsFlyer, Adjust, or similar), SKAN, multi-touch
Practical experience building with AI/LLM tools
Soft skills: Effective communication: when they're asked a question, they answer it succinctly and directly.