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    Data Analytical Specialist - Toronto, Canada - Global Pharma Tek

    Global Pharma Tek
    Global Pharma Tek Toronto, Canada

    2 weeks ago

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    Contract
    Description
    Position: Data Analyst Specialist
    Location: Toronto, ON (Hybrid)
    Duration: Business Days + Days Extension

    Job Description:
    Technical Skills:
  • Experience in Business Intelligence Reporting: Demonstrated ability to construct comprehensive BI reports and dashboards, reflecting expertise in data visualization and interpretation.
  • Proficiency in Power BI: Proven skills in utilizing Power BI for data analysis and report creation, including familiarity with advanced features and functionalities.
  • Expertise in SQL and Data Query Tools: Demonstrated experience in SQL querying and the use of various data query tools for data extraction, transformation, and loading (ETL) processes.
  • Knowledge of Microsoft Power BI Service: In-depth understanding and practical experience with Microsoft Power BI Service, including its integration and customization.
  • Data Visualization Skills: Proven capability in creating effective and insightful data visualizations, utilizing various tools and techniques.
    • BI Implementation Methodologies:
  • Familiarity with different Business Intelligence implementation methodologies and their practical application in real-world scenarios.
  • Data Analysis and Management Knowledge: Comprehensive understanding of data analysis principles and data management practices, including data quality and governance.
  • Advanced Analytical Techniques: Demonstrated experience in applying advanced analytical techniques such as machine learning, predictive analytics, and statistical analysis to derive actionable insights from large datasets.
  • Experience with Data Cleansing and Preprocessing: Proven skills in data cleansing and preprocessing, including handling missing data, anomaly detection, and normalization, to ensure data quality and reliability for analysis.
  • Proficiency in Data Analytics Tools: Expertise in using data analytics tools such as Python (Pandas, NumPy, SciPy), R, or SAS for complex data manipulation and analysis.
  • Data Interpretation and Insight Generation: Strong ability to interpret data, identify trends and patterns, and generate meaningful insights that support business decision-making.
  • Experience with Data Mining Techniques: Proficiency in data mining techniques and methodologies, including clustering, classification, regression, and association rules, to extract valuable information from large datasets.
  • Experience in Data Warehousing: Understanding of data warehousing concepts and experience in working with data warehouse technologies.
  • Knowledge of Data Integration Techniques: Skills in integrating data from various sources and formats for comprehensive analysis.
    • Documentation, Collaboration & Communication Skills:
  • Clarity in Complex Business Challenges: Ability to bring clarity to complex business issues and articulate business process requirements versus technology solutions effectively.
  • Excellent Verbal and Written Communication: Demonstrated excellence in both verbal and written communication, including the ability to convey complex data concepts in understandable terms.
  • Interpersonal and Facilitation Skills: Strong interpersonal skills, with an ability to facilitate discussions and consensus among diverse groups.
  • Effective Documentation Skills: Proficiency in creating clear and detailed documentation, including reports, guides, and process maps.
  • Collaboration with Internal/External Stakeholders: Demonstrated ability to effectively partner with both internal and external stakeholders, fostering productive relationships.
  • Teamwork and Cross-Functional Collaboration: Experience in working collaboratively in cross-functional teams, contributing to a cohesive team environment.
    • Mandatory Requirements:
  • Ability to examine, understand and present requirements, data and information in a cohesive manner using various tools including TOAD, SQL Server Management Studio, Visio, Powerpoint, Miro, , Excel
  • Ability to Lead and advise on data compatibility and recommend solutions.
  • Superior knowledge of the Microsoft Office suite and Microsoft Azure ecosystem
  • Experience in database transition to work between platforms and manage multiple stages of projects from initiation to testing to delivery
  • Ability to liaise and provide reporting information, assessment and data interpretation to others
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