Requirements:
- Bachelors 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.
- Proficiency in a scripting language such as Python or R for data analysis is a strong plus.
Responsibilities:
- 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.
- Mentor junior analysts promote data literacy and act as a subject matter expert for BI tools and methodologies within the organization.
Requirements:Bachelors 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...
Requirements:
- Bachelors 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.
- Proficiency in a scripting language such as Python or R for data analysis is a strong plus.
Responsibilities:
- 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.
- 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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