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Hourly Entry Level Data Analyst Jobs in Paramus, NJ

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Hourly Entry Level Data Analyst information

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$13

$33

$62

How much do hourly entry level data analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for hourly entry level data analyst in Paramus, NJ is $33.32, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $37.21 per hour, depending on experience, location, and employer.

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What cities near Paramus, NJ are hiring for Hourly Entry Level Data Analyst jobs?

Cities near Paramus, NJ with the most Hourly Entry Level Data Analyst job openings:

Entry Level Business Analyst

Data Cloud Merge

Jersey City, NJ • On-site

Full-time

Re-posted 17 days ago


Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Involve in project cycle plan for the data warehouse, source data analysis, data extraction process, transformation, and loading strategy designing.
  • Create Technical Specification Documents and capacity planning reports as part of the project requirement and followed the SDLC using the Waterfall model.
  • Produce appropriate documentation that allowed stakeholders to understand the steps of the data analysis process.
  • Assist Supply chain analysts with automating reporting functionality using Power BI tools, Power BI reporting, Dashboards & Scorecards (KPI).
  • Create action filters, parameters, and calculated sets for preparing dashboards and worksheets in Tableau

Qualifications
  • Bachelors or Masters Degree in Business, Finance, Technology, Computer Science, Engineering or any discipline.
  • Knowledge of Data Mining with large datasets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive Modelling, and Data Visualization.
  • Proficiency in all phases of requirements gathering, analysis, designing, testing and documentation, and a good understanding of Agile and Waterfall Methodologies.
  • Ability to work independently and in a team environment, collaborating effectively with business, delivery, and technology partners.

Additional Information
Describe your perks and culture