Support a strong logistical operational reporting of global client systems and processes involving all aspects of information management and technology for the organization
- Implement controls and processes to mitigate data quality risks including monitoring data quality results, reports, and dashboards
- Ensure timely dashboard refreshes and troubleshoot performance issues
- Implement minor modifications and logic updates in existing dashboards and queries.
- Extract and analyze data manually when automation is unavailable
- Support data visualization needs by designing and maintaining dynamic Tableau dashboards with best practices in UX and performance optimization
- Collaborate with cross-functional teams to gather reporting requirements and enhance automation
- Generate monthly reports and ad-hoc analyses to support leadership decision-making
- Work with diverse data sources, including SQL, Excel, Anaplan, and internal forecasting tools to build accurate and insightful reports
- Assist with major data and organizational changes that impact reporting structures
- Responsible for assuring quality and trust in the data, supporting standard definitions for the organization to follow, and maintaining consistent use of data resources across the organization
- Maintain and optimize Tableau Prep Flows, SSIS Flows, and Python scripts for data processing
Skills
2-4 years of experience in operational data analytics and visualizationProficiency in Tableau (Desktop, Server, and Prep), MS Excel, and SQL (Oracle, Hive, MySQL )Bachelor's degree in computer science, Statistics, Mathematics, Engineering, Business, or a related fieldAbility to analyze complex datasets, identify trends, and provide actionable insightsFamiliarity with Python, R, or SAS for data analysis and automationExperience with Tableau Server administration and performance tuningStrong problem-solving and critical-thinking skillsExcellent communication and stakeholder management abilitiesKnowledge of best practices for data visualization and dashboard performance optimizationExperience working with multiple data sources and integrating financial & operational datasets