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Data Analyst; statistical and analytical programming _ Toronto Hybrid _
Job in
Ontario, San Bernardino County, California, 91764, USA
Listed on 2025-12-01
Listing for:
Itlearn360
Full Time, Part Time, Contract
position Listed on 2025-12-01
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist
Job Description & How to Apply Below
Overview
Job Title:
Data Analyst (With statistical and analytical programming)
Location:
Toronto, ON (Hybrid - 3 Days/week onsite)
Contract Duration: 6-12+ Months
Job DescriptionWe are seeking a highly skilled Data Analyst with strong analytical and technical expertise to join our team on a 6+ month onsite contract in Toronto. The ideal candidate will have experience in data cleansing, analysis, visualization, and reporting, with a strong foundation in statistics and mathematics.
Key Responsibilities- Cleanse, prepare, and validate large datasets to ensure accuracy and consistency.
- Explore and analyze data to uncover trends, patterns, and insights.
- Apply statistical methods to interpret and derive actionable insights from data.
- Develop and maintain reports, dashboards, and visualizations to support business decisions.
- Collaborate with cross-functional teams to understand business requirements and communicate findings effectively.
- Leverage expertise in the domain to provide meaningful insights and recommendations.
- Utilize programming languages and tools to automate processes, manipulate data, and implement analytical models.
Skills & Qualifications
- Minimum 10 years of relevant experience in data analysis, reporting, and visualization.
- Strong expertise in SQL and Oracle for data extraction and manipulation.
- Experience with Simulink/MATLAB for data modeling and analysis.
- Proficiency in statistical and analytical programming languages such as R, Python, and MATLAB
. - Strong mathematical and statistical skills to support data analysis and modeling.
- Ability to create visualizations, dashboards, and reports that effectively communicate insights.
- Excellent written and verbal communication skills.
- Proven experience in data analysis, exploration, and visualization.
- Strong domain knowledge relevant to the organization s data and operations.
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