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Data Analyst Job For Fresher
Job Details

Organization Name : CAA North & East Ontario
Post Name : Data Analyst
Employment Type : Full Time
Qualification : 10th Pass
Industry : Private
Work Hours : 8 Hours
Job Experience : Fresher
Salary : CAD 20 To CAD 25 Per Hours
Location : Ottawa, Ontario, Canada K1G 6C9

About Organization
CAA Membership provides Roadside Assistance coverage in Canada and the United States! Services provided will be based on Membership level. Please note, motorcycle services differ when travelling in the United States for Plus Members only. Dues are required at the time of service.CAA North & East Ontario

(CAA NEO) provides emergency roadside assistance to Members, along with an extensive array of travel and insurance services designed to suit the individual needs, wants and expectations of its Members. As a part of the national non-profit organization, the Canadian Automobile Association,

CAA NEO specifically serves Members residing in the cities of Ottawa, Sudbury, Thunder Bay and North Bay, and surrounding areas. The Federation can trace its roots back more than a century to the year 1903, when 27 motorists formed a club to help owners of what was then a new invention known as a “horseless carriage.

” Today, CAA is comprised of eight automotive clubs that together serve more than five million members through more than 140 offices across Canada, offering a variety of travel, insurance and automotive services, as well as Member savings. As an individual Club, CAA NEO delivers unparalleled value to our

Members in a responsive and responsible manner, taking up advocacy issues and offering an array of savings options – all while supporting the objectives of both CAA and its American counterpart, the American Automobile Association (AAA). We invite you to explore the variety of services
Job Description
Data has changed the face of our world over the last ten years. The numerous emails, text messages we share, YouTube videos we watch are part of the nearly 2.5 quintillion bytes of data generated daily across the world. Businesses, both large and small, deal with massive data volumes, and a lot depends on their ability to glean meaningful insights from them.

A data analyst does precisely that. They interpret statistical data and turn it into useful information that businesses and organizations can use for critical decision-making.  Organizations in all sectors are increasingly depending on data to make critical business decisions like which products to make, which markets to enter,

what investments to make, or which customers to target. They are also using data to identify weak areas in the business that need to be addressed. As a result, data analysis has become one of the highest in-demand jobs worldwide, and data analysts are sought after by the world’s biggest organizations.

Data analyst salary and perks only reflect the demand of this job role which is likely to keep growing in leaps and bounds. So if you have the skills required to become a data analyst, you would be remiss not to take advantage of this scenario.

Data Analyst Responsibilities 

Using automated tools to extract data from primary and secondary sources
Removing corrupted data and fixing coding errors and related problems
Developing and maintaining databases, data systems – reorganizing data in a readable format
Performing analysis to assess quality and meaning of data
Filter Data by reviewing reports and performance indicators to identify and correct code problems
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
Analyzing local, national, and global trends that impact both the organization and the industry
Preparing reports for the management stating trends, patterns, and predictions using relevant data
Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

Skills Data Analyst

Strong mathematical skills to help collect, measure, organize and analyze data
Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases
Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
Adept at using data processing platforms like Hadoop and Apache Spark
Knowledge of data visualization software like Tableau, Qlik
Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
Problem-solving skills

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