Associate Manager - Data Analytics

• Apr 2023 - Present

Client Analyst

• Sep 2022 - Apr 2023

• Demonstrated exceptional proficiency in conducting various recurring and ad-hoc analysis projects for external customers of the organization, leveraging both internal and client-specific data sources. • Displayed exceptional versatility and agility in analyzing and synthesizing different data tools and sets to present a comprehensive picture of performance. Possessed hands-on experience with Microsoft Excel workbooks and Tableau visualization. • Efficiently partnered with stakeholders and ensured that the analysis provided was valuable and resulted in meaningful outcomes. Actively sought and identified trends and anomalies in data to drive analysis forward. • Demonstrated innovative thinking by recommending and assessing customer marketing campaigns to enhance conversion and optimize ROI. • Strategically planned and executed data collection methodologies, analysis tools, and reports for each client, ensuring that the data collected and shared adhered to appropriate governance and was presented in a standardized format. • Acquired a thorough understanding of advanced statistical analysis techniques, including persona building, customer profiling, and segmentation, with the aim of continuously expanding skill sets in these areas. Show less

Data Analyst

• Oct 2020 - Sep 2022

• Demonstrated expertise in gathering business requirements and procuring data from various customers to meet the data labelling/annotation needs. • Consistently provided high-quality data for the Labelling/Annotation teams in an efficient and timely manner. Actively participated in the planning and execution of labelling/annotation requirements on a weekly and monthly basis, in collaboration with business analysts, to maintain a streamlined data flow. • Possessed in-depth knowledge and experience in transferring large volumes of data to AWS and validating the process using Databricks. Adept in handling various file formats, including PDF, PNG, XML, and JSON. • Experience in designing and implementing systems for data collection, storage, and analysis at scale. Made significant contributions in the development of an end-to-end data labelling/annotation automation pipeline utilizing Python & SQL. • Demonstrated proficiency in automating reporting (KPI's) utilizing Python, SQL, Tableau, and advanced Excel. Processed raw data into actionable insights for a wide range of audiences to interpret. • Designed and delivered data-driven dashboards and presentations that provided valuable insights and support informed business decisions. • Efficiently managed and tracked data services requests on JIRA and created confluence pages to thoroughly document project requirements. Show less