Description
Key Skills: Tableau, Python, SQL, Data Analysis, Automation, Reporting, PySpark, Dashboard Development, Process Improvement, Data Visualization
Good to Have Skills: SAS, Power BI, R, Qlik Sense, API integrations, AI/Gen AI proficiency, banking operations knowledge, regulatory requirements understanding, fraud analytics, cash flow management, expense analytics, ROI analysis, data governance, data privacy and security knowledge.
Roles & Responsibilities:
- Gather data from various sources, clean it, and analyze it to identify trends, patterns, and insights relevant to business operations.
- Design, develop, and maintain regular and ad-hoc reports for different stakeholders presenting key performance indicators and operational metrics.
- Identify manual, repetitive tasks and processes within the organization and develop automated solutions to streamline them using scripting and automation tools.
- Analyze existing workflows to pinpoint inefficiencies and recommend improvements, often leveraging automation to achieve these goals.
- Develop interactive dashboards using reporting tools to provide real-time visibility into performance and trends for stakeholders.
- Present findings and recommendations to various departments and management, explaining complex data in a clear and concise manner.
- Ensure the accuracy and reliability of reporting systems and automation tools, troubleshooting issues, and performing regular updates.
- Document data requirements, data collection, processing, cleaning, and exploratory data analysis including process automation and optimization techniques.
- Contribute to efforts to maintain data quality, consistency, and adherence to data governance policies across the organization.
- Work with large, complex and unstructured data to evaluate, recommend, and support the implementation of business strategies.
Experience Required: 3+ years of experience in Reporting & Automation, Data/Information Management Analyst roles with proficiency in business intelligence tools and technologies. Strong track record in developing reports, performing data analysis, and implementing automation solutions. Experience in developing and deploying AI solutions in partnership with Tech and Business teams.
Education: Bachelor's/University degree in STEM, Master's degree preferred