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Business Intelligence (BI) and Analytics Specialist

Salary undisclosed

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Key Responsibilities:

  • Data Analysis and Interpretation:
    • Extract, clean, and analyze large datasets to derive actionable insights.
    • Develop and apply advanced analytical techniques to solve complex business problems.
    • Interpret trends and patterns from data to guide strategic and operational decisions.
  • BI Solution Development:
    • Design, develop, and maintain BI solutions (reports, dashboards, and data visualizations) using industry-standard tools (e.g., Power BI, Tableau, Qlik).
    • Ensure BI solutions are scalable, intuitive, and meet business requirements.
  • Data Integration and Management:
    • Integrate data from multiple sources to create unified datasets for analysis.
    • Implement data quality and governance best practices to ensure accuracy and consistency.
  • Collaboration and Communication:
    • Work closely with stakeholders across departments to understand their data needs and translate requirements into technical solutions.
    • Communicate findings and recommendations to non-technical audiences through clear and compelling presentations.
  • Continuous Improvement:
    • Stay updated with industry trends and advancements in BI and analytics technologies.
    • Proactively identify opportunities to enhance existing BI solutions and processes.
  • Qualifications:

    • Bachelor’s degree in Computer Science, Information Systems, Statistics, Economics, or a related field (Master’s degree preferred).
    • Proven experience (3+ years) in business intelligence, data analysis, or a similar role.
    • Proficiency in SQL and experience with databases (e.g., SQL Server, MySQL, Oracle).
    • Hands-on experience with BI tools such as Power BI, Tableau, or Qlik.
    • Strong analytical and problem-solving skills with a keen attention to detail.
    • Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.

    Preferred Skills:

    • Familiarity with ERP applications like Microsoft D365 F & O
    • Knowledge of data warehousing concepts and ETL processes.
    • Experience with programming languages (e.g., Python, R) for data analysis and manipulation.
    • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
    • Certifications in relevant BI and analytics tools or methodologies (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Certified Associate).
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