Senior Analyst - MIS - India

What you'll be doing:

• Data Collection and Analysis: Gather, cleanse, and analyze large datasets from various sources related to billing and accounts payable processes.
• MIS Reporting: Develop and maintain regular MIS reports, including daily, weekly, monthly, and quarterly reports, to track key performance indicators (KPIs) and identify trends.
• Dashboard Development: Design, develop, and maintain interactive dashboards in Power BI will be an added advantage.
• Data Validation and Accuracy: Ensure the accuracy and integrity of data used in reports and dashboards by implementing robust validation processes.
• Process Improvement: Identify opportunities to improve data collection, reporting, and analysis processes to enhance efficiency and accuracy.
• Presentation and Communication: Prepare and deliver presentations using PowerPoint to communicate key findings and recommendations to stakeholders.
• Collaboration: Work closely with other members of the Billing and Accounts Payable team, as well as other departments, to understand their data needs and provide support.
• Documentation: Maintain thorough documentation of all reporting processes, data sources, and dashboard designs.
• Ad-hoc Reporting: Respond to ad-hoc data requests from management and other stakeholders in a timely and accurate manner.
• Stay Updated: Keep abreast of the latest trends and technologies in data analysis, reporting, and visualization.

What you'll need:

• Experience: Minimum 4-5 years of experience in MIS reporting and data analysis
• Excel Proficiency: Advanced proficiency in Microsoft Excel, including experience with complex formulas, pivot tables, macros, and keyboard shortcuts.
• Power BI Expertise: Will be an added advantage 
• Presentation Skills: Presentation skills with the ability to create compelling and informative PowerPoint presentations.
• Communication Skills: Effective written and verbal communication skills, with the ability to clearly explain complex data insights to non-technical audiences.
• Education: Graduate degree required; a degree in Information Technology (IT) or a related field is a strong advantage.
• Technical Certification: Relevant technical certifications in data analysis or related fields are highly desirable.

Who you are: