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

Rent the Runway

Data Analytics Manager

New York, NY · On-site

Manager, Data Analytics About Us: Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world's first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 ...

Oscar Health

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Selective Insurance

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

The Data and Analytics Architect will be responsible for designing data platforms and applications, establishing architecture patterns, and collaborating with IT and business partners to enhance data ...

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

Responsibilities : • Own and evolve our core data models, ensuring the analytics layer accurately reflects business logic across the company's unit economics model. • Partner directly with ...

Rugs USA

Data Analytics Engineer

New York, NY · On-site

$110K - $120K/yr

Position Overview The Data Analytics Enginee r designs, builds, and supports RugsUSA's enterprise data warehouse and business intelligence platform. Working closely with business stakeholders and ...

Madhive

Data Analytics Manager

New York, NY · Remote

$105K - $135K/yr

We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our partner ecosystem. In this role, you won't just track partner performance--you will build the ...

iCapital

Data Analytics - Associate

New York, NY · On-site +1

$100K - $135K/yr

You will sit in the Analytics group of the broader Data & Analytics team within Technology, and will work closely with our Data Engineering group. On the technical side, you will interface with our ...

MadHive

Data Analytics Manager

New York, NY · On-site

$105K - $135K/yr

We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our partner ecosystem. In this role, you won't just track partner performance-you will build the ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +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 ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +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 ...

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines ...

American Express

Manager - Data Analytics

New York, NY · On-site

Four or more years of experience in Data Analytics, Product Analytics, Data Science, Business Intelligence, or related analytical disciplines. * Experience working within Agile software delivery ...

American Express

Director, Data Analytics

New York, NY · On-site

American Express Company seeks Director, Data Analytics to provide data-intensive, strategic assessments of products and respond to portfolio-specific business questions. Position requires a Master ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Basking Ridge, NJ

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:

Data Analytics jobs near you
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.

Data Analytics Manager

Rent the Runway

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Rent The Runway rating

7.5

Company rating: 7.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Manager, Data Analytics
About Us:
Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world's first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. RTR has been named to CNBC's "Disruptor 50" five times in ten years, and has been placed on Fast Company's Most Innovative Companies list multiple times.
About the Team:
Data is core to our growing business and has been ingrained in the company's DNA since its founding. As a member of the Data Analytics team, you will arm stakeholders with data to measure performance, insights, and drive continuous improvements across the company. The team is responsible for developing and maintaining RTR's core data models, defining and analyzing performance metrics, building reports, and enabling self-service report solutions. Business Intelligence is an important team within the RTR Customer organization.
About the Job:
We are looking for a Data Analytics Manager to lead high-impact analytics initiatives and manage key data models that describe our customers and business. In this role, you will partner cross-functionally with business leaders across the organization. You will own the creation of rich reporting and data visualizations, enabling functional leaders to quickly digest information and make data-driven decisions. In collaboration, you will define KPIs and set attainable, stretch goals to drive continuous improvement. You will be a key contributor to the culture of the team, and you will have opportunities for growth and leadership as we expand. This role will require strong analytical judgment, ownership, and the ability to operate independently in a fast-paced, evolving environment. The role will be an individual contributor (IC) to start, and will evolve into people leadership over time.
What You'll Do:
  • Lead strategic analytics initiatives by partnering closely with cross-functional teams to identify, scope, and fill data visibility gaps.
  • Work with Product and Engineering teams to ensure we collect the data required to support business objectives
  • Develop scalable, reusable, and well-documented data models that power dashboards, reports, and analysis across the organization
  • Collaborate closely with Data Engineering to design, optimize, and maintain data pipelines, ensuring data availability, accuracy, and efficiency.
  • Analyze key areas of the business to uncover opportunities for optimization, experimentation, and strategic improvements.
  • Define and monitor KPIs to influence decisions throughout RTR
  • Build, maintain, and monitor robust, user-friendly Looker dashboards and reports, ensuring stakeholders have access to up-to-date insights.
  • Drive best practices across the Data Team, including data governance, performance optimization, and documentation.
About You:
  • 6+ years of hands-on experience with large, complex data sets and delivering analytics solutions in fast-paced or scaled environments.
  • Bachelor's degree in a quantitative field (e.g., Computer Science, Physics, Mathematics, Statistics...); advanced degrees and/or specializations a plus.
  • Highly proficient in SQL, with the ability to write efficient, optimized queries for large-scale datasets.
  • Demonstrated experience with data modeling, dimensional modeling, and dbt.
  • Experience building and maintaining dashboards in Looker or similar BI tools (Sigma, Tableau, etc.).
  • Experience with code management and deployment on GitHub.
  • Demonstrated ability to lead analytics or reporting projects end-to-end, from scoping to stakeholder communication.
  • Ability to communicate effectively with a wide range of audiences, including business stakeholders, data engineers, and product teams.
  • Experience working with event data or user/product analytics tools (e.g., Heap) is a plus.
  • Passion for data and its fundamental ability to create value.
  • Extremely curious and excited to dive into complex problems.
  • Self-driven, proactive, and comfortable operating with ownership and ambiguity.
Benefits:
At Rent the Runway, we're committed to the wellbeing of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to:
  • Paid Time Off including vacation, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
  • Universal Paid Parental Leave for both parents + flexible return to work program - because we know your newest family member(s) deserve your undivided attention.
  • Paid Sabbatical after 5 years of continuous service - Unplug, recharge, and have some fun!
  • Exclusive employee subscription and rental discounts - to ensure you experience the magic of renting the runway (and give us valued feedback!).
  • Comprehensive health, vision, dental, FSA and dependent care from day 1 of employment - Your health comes first and we've got you covered.
  • 401k match - an investment in your future.
  • Company wide events and outings - our team spirit is no joke - we know how to have fun!
  • Office centric work - our corporate employees and technical leaders have the option to work remotely on Fridays, in accordance with Company policies.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee based on any legally-recognized basis, including, but not limited to: race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, gender identity, age (40 and over), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status or any other status protected by federal, state or local law.
The anticipated base salary for this position is $160k to $190k. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held.
By submitting your application below, you agree that you have read and acknowledge Rent the Runway's Candidate Privacy Policy, found here.

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