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Senior Business Intelligence Analyst (Onsite, Lahore, Remittance Salary)
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Statistics, Economics, or a related quantitative field.
- 4+ years of proven experience in a Business Intelligence or Data Analytics role.
- Strong expertise in SQL, including complex querying, window functions, common table expressions (CTEs), and performance tuning.
- Ability to work efficiently with large and complex datasets.
- Hands-on experience with leading BI platforms such as Power BI (including DAX), Tableau (including LOD expressions), or Looker (including LookML).
- Solid understanding of data modeling concepts and experience designing schemas for analytical workloads.
- Strong problem-solving skills with the ability to translate ambiguous business questions into clear analytical approaches.
- Excellent verbal and written communication skills, with the ability to present complex insights to non-technical stakeholders.
- Practical experience working within the Microsoft Fabric ecosystem, including Power BI, Data Factory, and OneLake.
- Familiarity with AI/ML concepts and experience using AI features within BI tools for predictive analytics and insights.
- Experience with cloud data platforms such as Azure Synapse Analytics, Google BigQuery, Snowflake, or Amazon Redshift.
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Proficiency in a scripting language such as Python or R for data analysis is a strong plus.
- Design, build, and deploy robust BI solutions, including interactive dashboards, reports, and analytical models using tools such as Power BI, Tableau, and Looker.
- Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL).
- Design, implement, and maintain scalable and efficient data models (e.g., star schemas) to support reporting needs.
- Collaborate with business stakeholders across departments (Finance, Marketing, Operations) to gather requirements, understand KPIs, and deliver relevant analytical solutions.
- Perform in-depth data analysis to identify trends, uncover opportunities, and provide data-driven recommendations to improve business performance.
- Ensure data quality and integrity by establishing and enforcing data governance standards and best practices.
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Mentor junior analysts, promote data literacy, and act as a subject matter expert for BI tools and methodologies within the organization.
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