Roundworld Immigration Private Limited Hiring For Data Analyst Required at Canada

Roundworld Immigration Private Limited; Canada; On-site; CAD 60,000 - 80,000; Full time

Job summary

An innovative firm is seeking a skilled data analyst to design and maintain data systems while extracting valuable insights from complex datasets. This role involves mining data from various sources, utilizing statistical tools to interpret trends, and preparing comprehensive reports for executive leadership. Collaborating with cross-functional teams, the analyst will identify opportunities for process improvements and ensure effective data governance. If you are passionate about data and its impact on decision-making at local and global scales, this opportunity is perfect for you.

Qualifications

• Experience in designing and maintaining data systems and databases.
• Proficiency in statistical tools for data interpretation.

Responsibilities

• Design and maintain data systems and databases, fixing coding errors.
• Prepare reports for executive leadership communicating data trends.

Skills

Data Systems Design

Database Maintenance

Data Mining

Statistical Analysis

Report Preparation

Process Improvement

Tools

Statistical Tools

Job description

Job Description

Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.