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Spait Infotech

Data Analyst

Spait Infotech

Canada, Kentucky, United States · Tam zamanlı

Başvuran ilk kişi siz olun

Deneyim
1–5 yrs
Maaş
Açılışlar
1
Yayınlandı
7 saat önce önce önce
Work mode
Ofiste
Eğitim
Bachelor's degree
Eligibility
Candidates with a bachelor's degree in a relevant analytical or technical field and 1 to 5 years of experience in data analysis or a similar role may apply.
Resume
Required to apply

Where you'll work

İş tanımı

Role overview

Spait Infotech is hiring a Data Analyst to work from Canada in a full-time, on-site role. The position focuses on turning raw data into clear business insights, improving reporting workflows, and supporting decision-making across teams.

Key responsibilities

  • Collect data from different sources, then clean, verify, and analyze it at scale.
  • Build, update, and manage dashboards, reports, and data visualizations using business intelligence tools.
  • Use statistical methods to uncover trends, relationships, and growth opportunities.
  • Convert business needs into practical, data-backed recommendations and solutions.
  • Design and automate recurring reports to save time and reduce manual effort.
  • Run quality checks to maintain accurate, reliable, and consistent data.
  • Work closely with business stakeholders to understand KPIs and reporting expectations.
  • Support forecasting, performance monitoring, and planning activities.
  • Communicate insights and findings in a clear way to stakeholders.
  • Contribute to data model development and ongoing reporting improvements.

Required qualifications

  • A bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a similar discipline is required.
  • Prior experience of 1 to 5 years in data analysis or a comparable role is expected.
  • Advanced SQL skills for data extraction, transformation, and analysis are essential.
  • Strong working knowledge of Excel, including pivot tables, advanced formulas, and analytical functions, is needed.
  • Hands-on experience with visualization platforms such as Tableau, Power BI, or comparable tools is important.
  • A solid understanding of statistical principles and analytical methods is necessary.
  • Exposure to Python or R for analysis is an added advantage.
  • Applicants should have strong analytical thinking, problem-solving ability, and communication skills.

Additional information

This is a full-time position based onsite in Canada. No stipend, salary, perks, or number of openings were specified in the source.

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