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

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 ...

Data Analytics Engineer

Manhattan, NY · 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 ...

Data Analytics Engineer

New York, NY · 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 · 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 ...

Data Analytics AI Engineer

Manhattan, NY · On-site

$156K - $204K/yr

The team has evolved from providing deep analysis to becoming enablers, bringing the right data and AI tools so that Sales, Marketing, and Customer Operations can run analysis and forecasting. We ...

Data Analytics AI Engineer

New York, NY · On-site

$156K - $204K/yr

The team has evolved from providing deep analysis to becoming enablers, bringing the right data and AI tools so that Sales, Marketing, and Customer Operations can run analysis and forecasting. We ...

Showing results 21-40

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:

$150K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

About Clear Street: 

Clear Street's mission is to give every sophisticated investor access to every asset, in every market, through a unified platform built for speed, transparency and scale.

We give our clients the technology, tools, and service once reserved for the largest institutions, rebuilt with modern infrastructure. Our single, cloud-native, end-to-end capital markets platform powers investor growth today and is transforming how they can interact with markets tomorrow.
For more information, visit https://clearstreet.io.

The Team:

The Control Engineering team at Clear Street is a small team with a great deal of responsibility. We work closely with stakeholders to ensure that we meet all our financial and regulatory obligations in a timely fashion. Our goal is to make the lives of our stakeholders easier by leveraging innovative technology to create automated solutions for their workflows. As Clear Street grows into more product lines and geographical regions, every member of the team will have an opportunity to have an immense impact on the firm as a whole.  Join our team and be part of a dynamic environment where you can make a significant contribution, collaborate with talented professionals, and work with cutting-edge technology to drive operational excellence.

The Role:

As an experienced Software Engineer on the Controls Engineering team, you will play an integral role in automating our Compliance & Finance regulatory processes. 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 will partner with key stakeholders across the Compliance, Finance, and Treasury teams  to understand regulatory/financial obligations and business requirements, and translate them into clean designs and scalable solutions. As the tech lead in the team, you will provide technical guidance, prioritizing work, perform hands-on design and development and code review,  as well as evolve our technical standards and best practices.

Tech Stack: Python, SQL, Snowflake, Retool, Docker, Kubernetes, Argo, Metaplane, REST APIs

Required Qualifications: 

  • You have at least five (5) years of software design and development experience including CI/CD, source code control, testing, and quality management.
  • You are highly proficient in Python,  SQL, database design, and have experience working with data warehouses like Snowflake to generate complex solutions at scale.
  • You are a self-starter with a sense of urgency and an eagerness to learn and explore new technologies as appropriate to solve business problems.
  • You are a strong communicator who can interact in a clear and concise manner with non-technical business stakeholders, product managers as well engineers.
  • You have the ability to troubleshoot and logically assess problems and determine solutions.

Bonus Qualifications:

  • You have experience working in the post-trade automation space designing and architecting systems that deliver solutions to complex data problems.
  • You have experience generating complex financial industry regulatory reports like EMIR, MFID,  SFTR, CPR, K Factor etc.

We Offer:

  • The opportunity to join a growing team of good people, where you can make a difference.
  • A meritocratic philosophy that champions collaboration.
  • A new, high-quality code base with little technical debt and room to build new services and features.
  • An environment that embraces the utility of a DevOps oriented culture and combines it with a focus on CI/CD methodology.
  • Competitive compensation, benefits, and perks.

The Base Salary Range for this role is $150,000 - $225,000. This range is representative of the starting base salaries for this role at Clear Street. Where a candidate falls in this range will be based on job related factors such as relevant experience, skills, and location. This range represents Base Salary only, which is just one element of Clear Street's total compensation. The range stated does not include other factors of total compensation such as bonuses or equity.

At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. As such, beginning on January 2, 2023, we are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.

Our top priority is our people. We're continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse - in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer. #LI-Hybrid