Data Analyst Jobs Toronto

Job Description

Data Analyst Jobs Toronto, Data Analysts analyze raw data by using statistical and mathematical techniques, and computing. This may include filtering and processing data to reach meaningful interpretations and conclusions, and creating solutions.

We are looking to hire a highly creative data Analyst to address data analytics challenges in our organization, collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested parties.

To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics, and be proficient in writing algorithms. Top candidates will be persistent and have excellent analytical and problem-solving skills.

Job Details

Hiring Organization Kroll
Post Name Data Analyst 
Qualification B.Tech
Industry Private
Employment Type Full Time
Work Hours 8 Hours
Salary CAD 75000 To CAD 85000 Per Year
Location TorontoOntarioCanada M5H 2R2

About Organization

Kroll provides proprietary data, technology, and insights to help our clients stay ahead of complex demands related to risk, governance, and growth. Our solutions deliver a powerful competitive advantage, enabling faster, smarter, and more sustainable decisions.

With 5,000 experts around the world, we create value and impact for our clients and communities. Serving clients in 140 countries across six continents and spanning nearly every industry and sector, Kroll delivers the coverage global organizations need to anticipate and exceed.

The complex demands surrounding risk, governance, operations, and growth. Find an expert to learn more. More than the focal point of our logo, the Kroll Lens represents the sharp focus, forward-thinking, and long-term competitive advantage we provide our clients through our proprietary data, technology, and insights. 

Responsibilities

  • Having meetings with team members regarding projects.
  • Collecting and interpreting data.
  • Automating and integrating processes.
  • Researching solutions to overcome data analytics challenges.
  • Developing complex mathematical models that integrate business rules and requirements.

Skills & Requirements

  • Experience using data visualization tools.
  • Experience with data querying languages, and statistical or mathematical software.
  • Proficient in writing algorithms, and knowing when to apply them.
  • Excellent understanding of statistics, multivariable calculus, and linear algebra.
  • Outstanding communication skills.

Benefits

  • Data Science is Versatile.
  • Data Science Makes Data Better. 
  • Data Scientists are Highly Prestigious. 
  • No More Boring Tasks. 
  • Data Science Makes Products Smarter.

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