Business Intelligence Senior Associate

Business Intelligence Senior Associate #1354611Job 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 ResponsibilitiesCreate strong business partnership for intelligent solutions through stakeholder interviews and solution designsOwn 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 analystsDesign and implement new metrics, techniques and strategies to improve business KPI, metrics unity and end-user adoptionPartner with Data Engineering, Data Science and Data Management teams to improve data completeness, usability, and performanceSkills 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, ETLSkills 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, GCPExperience Required:Senior AssociateExp: 3 to 5 years experience in relevant fieldHands-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-SQLMicrosoft SQL ServerExperience Preferred:Professional experience within the Finance / FinTech - IT domain.Education Required:Bachelor's Degree, Master's DegreeAdditional 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.