Manash Krishna Das Email & Phone Number

Auckland, New Zealand

Auckland, New Zealand

• Develop strategies, set objectives, and perform data mining for various campaigns, surveys and reports by collecting raw data from diverse sources.• Interpret data and recommend targeting, segmentation and testing opportunities based on audience insights and other impactful factors.• Conduct data cleaning, maintenance and monitor accuracy across all platforms.• Build dashboards for periodic and ad hoc reporting.• Manage duplicate data and track field dependencies in platforms like Salesforce, Snowflake, Marketing Cloud, Delighted and other data sources.• Perform diagnostic analysis on business processes to identify issues, gaps, impact and propose solutions.• Analyse and report on lead and sales performance, including cost of acquisition and campaign effectiveness.• Provide analysis and reporting on EDMs, engagement, journeys, surveys and work on improving NPS and CSAT.• Collaborate with teams to enhance the performance of leads, opportunities and campaigns.• Input marketing data into CRM for valuable insights and improved multi-channel leveraging.• Manage Salesforce data, including standardization, evaluating objects and field relationships, data entry & integration, migration from third-party platforms, and creating reports & dashboards.• Provide support for partners, creating stats reports and analysing channel performance.• Communicate process changes and provide training to Sales & Specialist teams to ensure data integrity.• Troubleshoot and manage Marketing Cloud and survey platform data and dependencies. Analyse and identify issues in marketing cloud scripts, automation, and journeys, and track contacts.• Develop strategies and manage surveys, customer journey flows, and logic in Marketing Cloud based on business needs.• Work with the wider team to develop sound business processes to uphold and improve data quality and integrity.• Collaborate with external consultants to manage various platforms, tools, and applications used by the business.

Auckland, New Zealand

• Standardizing and modelling large datasets from different sources which included a multitude of operations starting from analysing the data, cleaning it, checking for redundancies in values and finally modelling it accordingly.• Understanding, analysing, and relating large datasets according to business problem• Transform data from multiple data sources while maintaining accuracy and integrity of the data.• Writing SQL Queries after analysing requirements• Design Datawarehouse Solutions in Microsoft SQL Server• Execute ETL Process using SSIS.• Creating Reports and Dashboards using Power BI

Postgraduate Degree, Computer Science

Bachelor Of Technology - Btech, Computer Science