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Data Analyst

Apptoza Inc.

Toronto, Ontario, Canada · Договор

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Опыт
4 yrs
Зарплата
Открытия
1
Опубликовано
3 часа назад
Work mode
В офисе
Образование
Bachelors degree
Eligibility
Professionals with a bachelor's degree in a relevant field and at least 4 years of experience in data analysis or a similar role are suitable for this position.
Resume
Required to apply

Where you'll work

Описание работы

Role Overview

Apptoza Inc. is hiring a Data Analyst for a long-term contract position based in Toronto, Ontario. The role centers on turning raw data into practical insights that help guide business decisions and improve operational performance.

What You'll Do

  • Gather, clean, process, and study information from different sources such as databases, spreadsheets, and APIs.
  • Build and update dashboards and reports using tools like Power BI, Tableau, or Excel.
  • Partner with stakeholders to clarify data needs and provide insights that support decision-making.
  • Review current data workflows, assess how well they perform, and suggest ways to make them better.
  • Investigate the root cause of issues and share findings with teams across the organization.
  • Help preserve data accuracy and consistency across systems and reports.

What We're Looking For

  • A bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a closely related discipline.
  • At least 4 years of experience in data analysis or a comparable position.
  • Strong working knowledge of SQL, Excel, and at least one visualization platform such as Power BI or Tableau.
  • Understanding of statistical methods and data modeling concepts.
  • Excellent problem-solving and critical-thinking ability.
  • Clear written and verbal communication skills.
  • Comfort explaining complex findings in a simple, concise way.
  • Strong attention to detail and a high level of accuracy.

Additional Information

This is a long-term contract role located onsite in Toronto, ON. The position is intended for a detail-oriented professional who can analyze large datasets, spot trends and patterns, and translate data into insights that support business strategy and operational improvement.

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