ZipRecruiter

Log In

1

Data Analytics Jobs in Harrison, NJ (NOW HIRING)

Qvest US

Practice Lead, Data & Analytics

New York, NY · On-site

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 ...

Clear Street

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 ...

New

Clear Street

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 ...

New

Omnicom

11324-Senior Analyst, Data & Analytics

New York, NY · On-site

$94K - $118K/yr

Responsibilities: • Mentor in the Analytics Function oResponsible for accurate reporting, data integration, dashboard design and the presentation of actionable insights oMentor and develop junior ...

Jackpot

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 ...

previous page

Showing results 41-60

All JobsData Analytics JobsData Analytics Jobs in Harrison, NJ

Data Analytics information

See Harrison, NJ salary details

$25

$57

$98

How much do data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics in Harrison, NJ is $57.34, according to ZipRecruiter salary data. Most workers in this role earn between $46.06 and $64.95 per hour, depending on experience, location, and employer.

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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 are the most commonly searched types of Data Analytics jobs in Harrison, NJ? The most popular types of Data Analytics jobs in Harrison, NJ are:
What job categories do people searching Data Analytics jobs in Harrison, NJ look for? The top searched job categories for Data Analytics jobs in Harrison, NJ are:
What cities near Harrison, NJ are hiring for Data Analytics jobs? Cities near Harrison, NJ with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Harrison, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,269 per year, or $57.3 per hour.

Practice Lead, Data & Analytics

Qvest US

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Who We Are
Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. 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 1,000 companies to revolutionize markets and set new industry standards.
Who We're Seeking
Qvest US is seeking an experienced Data & Analytics practitioner to lead our US Data & Analytics practice. You will be responsible for leading the D&A practice including technical direction, business development, team development and project delivery. This includes leading interactions with customers and channel partners, as well as internal stakeholders to promote the Qvest D&A practice and actively participate in the growth of Qvest.
The Practice Lead will work closely across Practices, Business Units, and Sales & Marketing to communicate strategy, offerings, and innovation within the practice, identifying opportunities for new and existing services and solutions that can be offered to clients. The role will also be responsible for working closely with clients in identifying their business needs and providing technical solutions. You will provide operational management on a daily, weekly, and monthly basis to ensure that the Data & Analytics business is organized and executed so as to positively impact Qvest revenue, retention, growth, and customer satisfaction.
Our clients are looking for our expertise to help them build modern Data & Analytics solutions. We work closely with clients to understand their IT infrastructure, data estate, business objectives, and how modern analytics solutions can help them achieve those objectives. Our industry focus includes the Media & Entertainment, Consumer Products and adjacent industries.
What You'll Do: Business P&L Management and Business Development
  • Be responsible for the Data & Analytics practice revenue and budgets for each year and help create them for following years, showing growth
  • Partner with vendors, leadership and sales to identify customer opportunities or identify them using other means. Once identified, understand business objectives and challenges, establish trust and set vision with the customer, develop proposals, and win work for the practice

What You'll Do: Practice Management
  • Be the face of the practice, develop the practice's internal and external presence, evangelize and champion our services and products
  • Articulate the value proposition and ROI of our services and proposed solutions to prospective customers
  • Stay abreast of industry and technology changes, in the areas of data and analytics technologies, especially as they lead us into a world rapidly moving towards AI
  • Cultivate and manage the portfolio of offerings, SOWs, and IP to maximize profitability and achieve revenue/margin objectives
  • Manage the day-to-day operations of the team, including project management, resource allocation, and budgeting, and manage a practice-level profit and loss statement, including project management if necessary
  • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement

What You'll Do: Project Delivery
  • Be able to architect solutions, creating documentation artifacts, and producing estimations for delivery, as well as lead senior members of the teams to do the same
  • Work with customers to understand their business needs and translate them into written requirements that can be understood by technical and non-technical audiences, as well as lead members of the teams to do the same
  • Follow consulting methodology, lead & advise project teams through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
  • Lead project teams through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
  • Ensure client satisfaction and maintain executive level relationships through consistent support, impactful thought leadership and high-quality project execution
  • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
  • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations

What You'll Bring
  • Hands-on D&A expertise and experience including but not limited to:
  • 3+ years' experience in professional services and pre-sales as a data architect
  • 10+ years in a consulting or a data-focused role, and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, Synapse, Fabric, or similar
  • Strong theoretical and practical knowledge of necessary tools for analytics on cloud computing platforms such as AWS, Azure, or GCP. E.g. S3, Athena, IAM, networking configuration and management, etc.
  • Significant hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, or similar
  • Significant experience designing and building relational database and/or data warehouses, and with managing and troubleshooting complex analytics solutions

  • Additional Requirements:
  • Passion for and proven experience with consulting business development
  • Eagerness to help build and lead a best-in-class Data & Analytics Practice
  • 10+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
  • Experience with project planning, including tasks, budgeting, resource allocation and balancing
  • A track record of highly impactful work at prior companies, including both as a manager, a manager of managers, and as an individual contributor
  • Bachelor's degree in engineering, information systems, computer science, business administration, or other related analytical fields

Preferred Experience
  • Media & Entertainment or adjacent industry experience
  • An understanding of current key AI trends and the AI landscape as it relates to Data & Analytics
  • Knowledge of industry best practices in data and analytics
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Familiarity with established and emerging data technologies

Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee's primary office location, state, or region.
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths. Qvest US is currently 300+ people strong and we've been recognized as a "Best Place to Work," a "Great Place to Work," "Fastest Growing," and "A Jewel."
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Apply