Data Analyst

TechMatrix Inc

Toronto

On-site

CAD 75,000 - 95,000

Full time

14 days+
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Job summary

A data-driven consultancy firm in Toronto is seeking a Mid-Senior Data Analyst. The candidate will turn data into actionable insights using Tableau and SQL, with a strong focus on statistical analysis and predictive modeling. They should possess strong domain knowledge in trade finance and familiarity with big data platforms. This full-time role offers opportunities to implement data strategies and enhance compliance measures.

Qualifications

  • 5+ years of experience in data analysis and visualization.
  • Proficient in Python (pandas, NumPy) and SQL.
  • Skilled in statistical analysis and predictive modeling.

Responsibilities

  • Translate data insights into actionable strategies.
  • Generate reports to empower data-driven decisions.
  • Ensure data quality management and compliance.

Skills

Data analysis
Visualization with Tableau
Python
SQL
Statistical methods

Tools

Tableau
Excel
Oracle
MySQL
Snowflake

Job description

I specialize in turning data into actionable insights with a strong foundation in data analysis, visualization, and domain knowledge.

Proficient in Tableau and Excel for building interactive dashboards and generating insightful reports that empower data-driven decisions.

Hands-on experience in Python (pandas, NumPy) and SQL for efficient data extraction, transformation, and analysis.

Statistical Analysis & Predictive Modeling

Skilled in statistical methods, hypothesis testing, and predictive modeling to uncover trends and drive business strategies.

Experienced in working with relational databases (Oracle, MySQL) and data warehousing solutions such as Snowflake.

Strong understanding of trade finance concepts, including letters of credit, supply chain finance, and payment terms.

Familiar with big data platforms like Hadoop, Spark, and Google BigQuery for handling large-scale datasets.

Adept at translating complex data insights into actionable strategies and effectively communicating findings to stakeholders.

Knowledgeable in data governance principles and ensuring data quality management and regulatory compliance.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Banking
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