Rahul Naik

Requirement Gathering:

• Collaborated with clients to gather and discuss project requirements and use cases, aligning them with existing scenarios.

Database Analysis:

• Managed database analysis by ensuring that the required database is available for examination.
• Monitored the Azure repository to verify database availability and promptly communicated any discrepancies to clients.

Gap Analysis and Solution Identification:

• Receiving product and fact data from different countries in local language, Then convert the data into standard language, It involves cleansing and reviewing of the data for making it more understandable.
• Mapped gaps in an Excel sheet and engaged with clients to find effective solutions.

Reference File Preparation:

• Created different set of reference using Nielsen product and market Data and finance data from Nestle
• Collaborated with clients, sharing reference files for their input and validation.

Logic Development and Technical Team Support:

• Played a key role in developing data mapping logic to address missing data elements, such as manufacturer information.
• Converting raw factual data into structured sales data, segmented by country, to facilitate informed decision-making and strategic analysis.
• Explained complex logic to the technical team, enabling them to implement necessary changes.
• Validated the logic's implementation to ensure data accuracy and completeness.

Finance Data Management:

• If the files did not meet the standard template, communicated with the market to obtain the required data.
• Once data met the standard template, forwarded it to the technical team for loading.

Data Validation:

• Coordinated with technical teams to load and make data available for analysis.
• Validated data integrity using Snowflake SQL, ensuring the presence of required columns, data accuracy, and correct calculations.

Issue Resolution:

• Identified and reported data or calculation issues to technical teams for prompt resolution.
• Engaged with clients to address any concerns or issues related to data analysis and view performance.
• Interacted with internal customers to understand business needs and translate into requirements and project scope