Business Intelligence Senior Associate

Business Intelligence Senior Associate #1354611 Job Description: Employees in this job function are responsible for enabling intelligent business decisions by designing robust analytics solutions through a blend of business acumen, data and analytics proficiency and technical solution architecture; leveraging knowledge and expertise in multiple tools for data integration, data modeling, data analysis tools, advanced data visualization tools etc. Key Responsibilities

• Create strong business partnership for intelligent solutions through stakeholder interviews and solution designs
• Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key business decisions. Use advanced visualization tools like Qlik, Dash Enterprise, Tableau, PowerBI etc.
• Conduct deep-dive analysis of business problems and data issues to formulate recommendations for business improvement and technical efficiency.
• Use data modeling tools, data analysis tools, advanced programming languages like R, Python, etc.
• Identify and implement avenues to optimize and enhance data analysis, interpretation and visualization tools, techniques and methodologies for functional analysts
• Design and implement new metrics, techniques and strategies to improve business KPI, metrics unity and end-user adoption
• Partner with Data Engineering, Data Science and Data Management teams to improve data completeness, usability, and performance Skills Required:
• Demonstrated ability to document complex systems,
• Ability to communicate and work with cross-functional teams and all levels of management , Microsoft Sql Servers, MSSQL, ETL Skills Preferred:
• Cloud Composer, Airflow PySpark, Big Query,, Google Cloud Platform
• Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, Airflow PySpark, Python, API, GCP Experience Required:
• Senior Associate
• Exp: 3 to 5 years experience in relevant field
• Hands-on experience with the Microsoft BI stack (SSIS,SSAS, SSRS).
• Must have proven experience in analysing, reverse-engineering, and documenting complex, legacy data systems. This is a lead-level role requiring technical ownership and autonomy. PRIMARY SKILLS REQUIRED:
• Microsoft SSIS (SQL Server Integration Services)
• Microsoft SSAS (SQL Server Analysis Services)
• Microsoft SSRS (SQL Server Reporting Services)
• T-SQL
• Microsoft SQL Server Experience Preferred:
• Professional experience within the Finance / FinTech - IT domain. Education Required:
• Bachelor's Degree, Master's Degree Additional Info:
• Lead the technical decoding and reverse-engineering of legacy SSAS cubes and SSIS packages.
• Create comprehensive, high-quality documentation of the existing platform& architecture and business logic.
• Act as the subject matter expert to support the design and development of new data solutions on Google Cloud Platform.
• Provide hands-on operational support for the production MSBI environment, including troubleshooting and performance tuning.
• Propose technical solutions and clearly communicate findings to business and technical stakeholders.