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Business Intelligence Analyst

@ Spait Infotech

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Canada

Temps plein
Postuler
SIGNAUX

En bref

Spait Infotech is hiring a full-time Business Intelligence Analyst to gather and interpret business data, build dashboards and reports, and present insights to stakeholders. The role centres on SQL, Power BI or Tableau, and Excel analysis.

Responsabilités :

  • Analyser les données d'affaires de sources multiples
  • Développer des tableaux de bord avec Power BI ou Tableau
  • Rédiger des requêtes SQL pour extraire et transformer les données
  • Suivre les indicateurs clés de performance
  • Préparer des rapports de performance quotidiens, hebdomadaires et mensuels

Résumé des exigences :

  • SQL avancé (jointures, sous-requêtes, CTE)
  • Maîtrise de Power BI (DAX, Power Query, modélisation)
  • Expertise d'Excel (tableaux croisés, XLOOKUP)
  • Solides capacités analytiques et de résolution de problèmes
  • Bonne communication écrite et verbale

Outils et compétences

Power BITableauExcelSQLPython
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-08
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

DomaineDonnées et analytique
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Spait Infotech

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ChampValeur
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Description

Roles and Responsibilities

  • Gather, analyze, and interpret business data from multiple sources.
  • Understand business requirements and translate them into analytical reports and dashboards.
  • Develop interactive dashboards and visualizations using Power BI or Tableau.
  • Write SQL queries to extract, filter, join, and manipulate data from databases.
  • Clean, transform, and validate datasets to ensure data accuracy and consistency.
  • Monitor and analyze key performance indicators (KPIs) and business metrics.
  • Prepare daily, weekly, and monthly business performance reports.
  • Identify trends, patterns, and opportunities through data analysis.
  • Create data models and establish relationships between different datasets.
  • Use Excel for data analysis, reporting, and business performance tracking.
  • Develop DAX measures and calculated columns for Power BI reports.
  • Perform data validation and troubleshoot discrepancies in reports.
  • Collaborate with business teams, management, and stakeholders to understand reporting requirements.
  • Present analytical findings and business insights through reports and dashboards.
  • Maintain documentation of data sources, business metrics, and reporting processes.

Technical Skills Required

  • Business Intelligence and Data Analytics.
  • SQL (Joins, Subqueries, CTEs, Group By, Aggregate Functions).
  • Microsoft Excel (Advanced Excel, Pivot Tables, VLOOKUP, XLOOKUP).
  • Power BI (Dashboard Development, DAX, Power Query, Data Modeling).
  • Tableau (Dashboard Development and Data Visualization).
  • Data Cleaning, Data Transformation, and Data Validation.
  • Data Visualization and Reporting.
  • KPI Monitoring and Business Performance Analysis.
  • Basic Statistics and Data Interpretation.
  • Database Management and Relational Database Concepts.
  • Python (Pandas, NumPy) – Good to Have.
  • ETL Processes and Data Warehousing Concepts – Added Advantage.

Required Skills and Competencies

  • Strong analytical and logical thinking.
  • Excellent problem-solving abilities.
  • Good understanding of business processes and data analysis.
  • Strong attention to detail and data accuracy.
  • Ability to interpret complex datasets and communicate insights.
  • Good verbal and written communication skills.
  • Ability to understand business requirements.
  • Strong organizational and time-management skills.
  • Ability to work independently and collaboratively with cross-functional teams.

Key Performance Indicators (KPIs)

  • Accuracy and reliability of business reports.
  • Timely delivery of dashboards and analytical reports.
  • Effectiveness of KPI tracking and monitoring.
  • Quality and usability of BI dashboards.
  • Data consistency and validation accuracy.
  • Ability to identify meaningful business insights.
  • Stakeholder satisfaction and reporting efficiency.

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