Business Intelligence Analyst

Wandata Tech

Toronto

In loco

CAD 65.000 - 90.000

Tempo pieno

2 giorni fa
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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Wandata Tech in Toronto is seeking a data analytics professional to collect and query large datasets, design and maintain dashboards, and ensure data quality across sources.

You will collaborate with management and department heads to translate business goals into analytical requirements, perform ad-hoc analyses, and present actionable insights to non-technical teams.

Competenze

  • Experience gathering and querying large datasets.
  • Ability to design and maintain interactive dashboards and KPI reports.
  • Proficiency in cleaning, modeling, and validating data from multiple sources.
  • Strong collaboration with management and department heads to translate business goals into analytics requirements.
  • Ability to perform ad-hoc analyses and present findings clearly to non-technical teams.

Mansioni

  • Gather and query large datasets from databases, cloud systems, and data warehouses using SQL and ETL tools.
  • Design, build, and maintain interactive dashboards, scorecards, and KPI reports.
  • Validate, clean, and structure data to ensure accuracy and consistency across sources.
  • Collaborate with management, IT, and department heads to translate business goals into analytical requirements.
  • Answer business questions through exploratory analysis and present findings clearly to non-technical teams.

Conoscenze

Data collection
Data extraction
Dashboard design
SQL
ETL tools
Data modeling
Data cleaning
Stakeholder collaboration
Analytical storytelling

Strumenti

SQL
ETL tools
Dashboarding
Data warehouses

Descrizione del lavoro

  • Data Collection & Extraction: Gather and query large datasets from databases, cloud systems, and data warehouses using SQL and ETL tools.
  • Dashboard & Report Development: Design, build, and maintain interactive dashboards, scorecards, and key performance indicator (KPI) reports.
  • Data Cleaning & Modeling: Validate, clean, and structure data to ensure accuracy, consistency, and reliability across sources.
  • Stakeholder Collaboration: Work with management, IT, and department heads to translate business goals into analytical requirements.
  • Ad-Hoc Analysis & Storytelling: Answer specific business questions through exploratory analysis and present findings clearly to non-technical teams.
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