1

Hourly Data Analytics Jobs in Rutherford, NJ (NOW HIRING)

Director of Data & Analytics

Manhattan, NY · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Jackpot is on a mission to create the most trusted online lottery and gaming destination, starting by building the world's most user-friendly digital lottery platform. Guided by our vision of ...

This role will support customer, marketing, merchandising, eCommerce, site, retail, and channel analytics by turning complex data into clear, reliable reporting and actionable business insights. The ...

Showing results 41-60

Hourly Data Analytics information

See Rutherford, NJ salary details

$24

$55

$96

How much do hourly data analytics jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for hourly data analytics in Rutherford, NJ is $55.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $63.22 per hour, depending on experience, location, and employer.

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an hourly data analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

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

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

What cities near Rutherford, NJ are hiring for Hourly Data Analytics jobs?

Cities near Rutherford, NJ with the most Hourly Data Analytics job openings:

Data Scientist Director - Card Data & Analytics, Customer & Strategic Analytics

J.P. Morgan

New York, NY

Full-time

Medical, Retirement

Posted yesterday

New


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join JPMorganChase's Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable business impact through AI, machine learning, and advanced analytics. This is a senior leadership role that sits at the intersection of innovation and execution - requiring equal parts technical depth, strategic vision, and people leadership.

As a Data Scientist Director at JPMorganChase within the Card Data & Analytics Customer & Strategic Analytics team, you will lead end-to-end delivery of AI and analytics solutions that shape product strategy, customer experience, and competitive positioning. You will build and develop a diverse team of analytics professionals, set technical and analytical direction across multiple business domains, and translate complex insights into clear, actionable recommendations for senior stakeholders. You will foster a culture of intellectual curiosity, inclusion, and continuous improvement while influencing roadmaps, shaping business decisions, and building organizational capability.

Job responsibilities

  • Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
  • Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
  • Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
  • Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
  • Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
  • Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
  • Translate customer data into actionable insights that inform marketing, product, and servicing strategies. 

    Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space

  • Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
  • Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
  • Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture. 

    Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team

  • Attract and retain top analytics talent through hiring, onboarding, and skills development programs. 

    Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization.

Required qualifications, capabilities, and skills

  • Master's or PhD in a quantitative field and 10+ years of analytics experience
  • Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, in a large enterprise environment
  • Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation
  • Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products
  • Strong business acumen with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations
  • Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building
  • Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners
  • Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
  • Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives

Preferred qualifications, capabilities, and skills

  • Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
  • Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
  • Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
  • Experience with causal inference, A/B testing, and experimentation frameworks at scale
  • Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
  • Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
  • Familiarity with Agile delivery methods and modern product practices

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.