Data Analyst

CESNA, INC.
Englewood Cliffs, NJ, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Computer Engineering Data Mining Tableau (Software) Data Generation

Job description

Use statistical methods to analyze data and generate useful business reports

  • Work with team and clients to create a prioritized list of needs for each business segment
  • Identify and recommend new ways to save money and to find trends by streamlining business processes
  • Use data to create models that depict trends in the customer base and the consumer population as a whole
  • Work with departmental managers to outline the specific data needs for each business method analysis project

Requirements

Company is looking for an experienced Data Analyst who is able to turn project requirements into custom-formatted data reports. The ideal candidate for this position is able to do complete business trends, market trends, and performance data generation and outline critical information for each Client. We also need someone who is able to analyze business procedures and recommend specific types of data that can be used to improve upon them., Bachelor’s Degree in Mathematics or Computer Engineering

  • 2+ years’ Data mining experience
  • Tableau +2 years or Champion Level
  • 3+ years in a data analyst role
  • Ability to collaborate effectively and work as part of a team
  • Strong attention to detail, Analytical Skills: Data analysts work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions.
  • Communication Skills: Data analysts are often called to present their findings, or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas.
  • Critical Thinking: Data analysts must look at the numbers, trends, and data and come to new conclusions based on the findings.
  • Attention to Detail: Data is precise. Data analysts have to make sure they are vigilant in their analysis to come to correct conclusions
  • Math Skills: Data analysts need math skills to estimate numerical data.
  • Background of manufactured field is plus.

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