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Responsibilities

• Design, develop, and maintain enterprise BI solutions using MicroStrategy ONE (latest versions).
• Develop complete BI applications including schema objects, attributes and hierarchies, facts, metrics, filters, prompts, advanced reports and dashboards, and dossiers and interactive visualizations.
• Translate business requirements into scalable BI solutions.
• Build reusable semantic models and reporting frameworks.
• Implement advanced MicroStrategy features including Intelligent Cubes, caching strategies, incremental refresh, derived metrics, advanced analytics functions, and transaction services.
• Create and configure AI Agents, develop conversational analytics experiences, use AI-assisted insights generation, implement Auto Narratives, and leverage AI-powered dashboard and visualization capabilities.
• Enable business users to interact with data using AI-driven analytics.
• Evaluate opportunities to automate reporting and insight generation using AI capabilities.
• Design logical and physical data models for BI consumption.
• Optimize semantic layers for scalability and performance.
• Perform data validation and reconciliation between source systems and BI outputs.
• Write complex SQL queries for Data extraction, Transformation, Validation and Performance tuning.
• Write complex SQL queries utilizing Joins, Window functions, CTEs, Stored procedures and Query optimization techniques.
• Experience working with enterprise databases/data warehouses such as Amazon Redshift, Oracle, SQL Server, Snowflake, Azure Synapse, Databricks.
• Experience working with enterprise ETL/data integration tools such as Matillion, Informatica, Azure Data Factory or Other cloud ETL platforms.
• Understand ETL pipeline design, scheduling, monitoring, and troubleshooting.
• Work closely with data engineering teams to ensure reliable data availability.
• Use Python for Data analysis, Automation, Data validation, API integrations and Reporting utilities.
• Experience with Python libraries such as Pandas, NumPy, Requests and PySpark.
• Monitor and optimize MicroStrategy reports, dashboards, and cubes.
• Troubleshoot performance issues across SQL layer, Data model, MicroStrategy objects and Application layer.
• Perform root cause analysis and implement improvements.
• Support production BI environments and resolve user issues.

Requirements

• 5+ years of experience in Business Intelligence development.
• Strong hands-on experience with MicroStrategy platform.
• Experience with MicroStrategy ONE / Strategy One latest versions.
• End-to-end MicroStrategy development experience: Modelling → Metadata → Reports → Dashboards → Deployment.
• Strong SQL development skills.
• Experience with at least one ETL tool.
• Python scripting experience.
• Strong understanding of data warehousing concepts.
• Experience working with large enterprise datasets.
• Experience implementing Strategy AI solutions.
• Experience creating AI Agents and conversational analytics solutions.
• Experience migrating/upgrading MicroStrategy environments.
• Knowledge of BI governance, security, and user access management.
• Experience with cloud data platforms (Azure/AWS/GCP).
• Experience in retail, finance, supply chain, or enterprise analytics domains.
• Strong analytical and problem-solving skills.
• Ability to translate business needs into technical solutions.
• Excellent communication skills.
• Ability to work independently and collaborate with cross-functional teams.
• Strong ownership mindset and attention to detail.

Skills

• MicroStrategy ONE
• Schema objects
• Attributes and hierarchies
• Facts, metrics, filters, prompts
• Advanced reports and dashboards
• Dossiers and interactive visualizations
• Intelligent Cubes
• Caching strategies
• Incremental refresh
• Derived metrics
• Advanced analytics functions
• Transaction services
• Strategy AI features
• AI Agents
• Conversational analytics
• AI-assisted insights generation
• Auto Narratives
• AI-powered dashboard and visualization capabilities
• Dimensional modelling
• Star schema
• Snowflake schema
• Fact and dimension modelling
• Slowly Changing Dimensions (SCD)
• SQL
• Data extraction
• Data Transformation
• Data Validation
• Performance tuning
• Joins
• Window functions
• CTEs
• Stored procedures
• Query optimization
• Amazon Redshift
• Oracle
• SQL Server
• Snowflake
• Azure Synapse
• Databricks
• ETL
• Matillion
• Informatica
• Azure Data Factory
• Cloud ETL platforms
• ETL pipeline design
• ETL scheduling
• ETL monitoring
• ETL troubleshooting
• Python
• Pandas
• NumPy
• Requests
• PySpark
• BI governance
• BI security
• User access management
• Azure
• AWS
• GCP
• Retail analytics
• Finance analytics
• Supply chain analytics
• Enterprise analytics

Experience Level

• 5+ years of experience in Business Intelligence development

Education Level

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or related field.