Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans.
Proficient in data cleaning, statistical analysis, and data visualization using tools such as Python, SQL, and Power BI. Proven ability to create compelling visualizations using tools like Power BI to effectively communicate complex data findings to both technical and non-technical stakeholders.
Proficient in utilizing Python and SQL for data analysis, scripting, and automating repetitive tasks.
Experience in developing and executing complex queries to extract relevant information.
Effective communicator with a collaborative approach, capable of working seamlessly with cross-functional teams. Adept at translating technical findings into actionable insights for diverse stakeholders.
Strong analytical and problem-solving skills with a proven ability to collaborate across teams.
Seeking to apply expertise in data analysis to contribute to data-informed decision-making and drive business success in a challenging environment.
Overview
5
5
years of professional experience
Work History
Data Analyst
Jefferson Pharma LLC
07.2023 - 12.2023
Utilized data visualization tools to effectively communicate business insights.
Improved decision-making processes with accurate data analysis and visualization techniques.
Executed data processing tasks using SQL and Python, transforming raw data into usable format for analysis
Created visual representations of data like charts, graphs, and dashboards using Power BI
Communicated complex data findings to non-technical stakeholders effectively
Conducted data validation and quality assurance to ensure accuracy in reporting, reducing errors
Interpret data analysis results in the context of business objectives and goals
Optimized pharmacy inventory by analyzing demand patterns, lead times, and reorder points.
Data Analyst
Capgemini Technology Services Private Limited
04.2019 - 05.2022
Developed and maintained interactive dashboards and reports to present insights to stakeholders, resulting in a 20% improvement in data-driven decision-making
Conducted exploratory data analysis on large datasets, identifying trends, patterns, and outliers using Python, SQL, and Power BI
Implemented data cleaning and preprocessing techniques to ensure data quality and accuracy, improving overall data reliability
Created and maintained data models to support business intelligence solutions, facilitating better understanding and interpretation of complex datasets
Developed and maintained database systems using SQL and PL/SQL within an Oracle environment
Implemented complex SQL queries, stored procedures, functions, and triggers to support application requirements
Designed and implemented the database schema, including tables, relationships, constraints, and indexes, ensuring optimal data storage and retrieval
Collaborated with cross-functional teams to gather and analyze data requirements, ensuring accurate and efficient data integration
Created and maintained database documentation, including data dictionaries, schema diagrams, and technical specifications
Implemented error handling and exception management strategies to ensure data integrity and minimize downtime.
Customer Executive
Amazon Development Center
10.2018 - 04.2019
Enhanced brand loyalty by providing exceptional customer service through active listening and problem solving.
Coordinated closely with other departments to ensure seamless delivery of services from order placement through fulfillment stages.