Shreekanta B M

Collaborated with other members of the organization to ensure tactical execution of data analysis protocols and SOPs, Conducted quantitative and qualitative data analysis using SQL, dashboards, and MS Excel Spreadsheets, Defined and implemented the Key Performance Indicators (KPIs) of the Data Analysis Team, Collaborated with cross-functional teams to understand data visualization needs for customer feedback, Identified, documented, and initiated resolutions for data quality issues, Developed and implemented internal best practices, Conducted Data Status Meetings along with Business Analysts, Developers, and Project Managers

Proactively led the Input Data Source Migration project, successfully migrating multiple dashboards to the NPS platform, enhancing data integration and reporting capabilities.
Enhanced dashboard reliability by identifying and correcting logic errors in multiple Tableau dashboards, ensuring error-free reporting.
Managed the entire process for the Usage dashboard, from data creation and refresh to comprehensive QC checks, producing tab-wise usage reports for in-depth analysis.
Maintained and refreshed nearly all dashboards in the NPS project according to the capacity planner, ensuring up-to-date data and smooth operations.
Provided user access and conducted sanity checks for Pulse dashboards across PROD, QA, and DEV environments, ensuring correct functionality and user accessibility.
Consistently updated SOPs, BRDs, QC checklists, and master inventory documents in a timely manner, maintaining comprehensive and current documentation.
Assisted various brand data teams in identifying data issues by sharing KPI frontend formulas, supporting accurate and reliable data analysis.
Performed in-depth QC on newly developed dashboards and those undergoing production deployment after enhancements, ensuring high-quality outputs.

Collaborated with other members of the organization to ensure tactical execution of data analysis protocols and SOPs to minimize risk to the business.
Conducted quantitative and qualitative data analysis using tools such as SQL, dashboards, and MS Excel Spreadsheets to derive actionable insights and support decision-making processes.
Defined and implemented the Key Performance Indicators (KPIs) of the Data Analysis Team within the organization; supervised the assignments of off-site data analysis resources, as needed.
Collaborated with cross-functional teams to understand data visualization needs for customer feedback, ensuring that visualizations met business requirements and enhanced stakeholder understanding.
Created detailed specifications for reports and analyses based on business needs, ensuring that all required data elements were accurately captured and utilized.
Identified, documented, and initiated resolutions for data quality issues discovered during report and analysis development, maintaining high standards of data accuracy.
Developed and implemented internal best practices, standardizing processes and enhancing overall team efficiency.
Conducted Data Status Meetings along with Business Analysts, Developers, and Project Managers to review and discuss data insights and findings.