Data Analyst

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Summary

Collaborate with clients to develop and implement data analytics strategies that improve business performance and enhance decision-making processes.
Gather and analyze complex data sets to identify trends, patterns, and insights that inform business strategies.
Create customized dashboards, reports, and visualizations to communicate insights to key stakeholders.
Configured and maintained Apache Airflow for scheduling and orchestration of complex data pipelines, ensuring timely and reliable delivery of data to stakeholders.
Developed robust ETL pipelines using Python, extracting, transforming, and loading data from various sources (e.g., databases, APIs, flat files) into data warehouses and storage systems.
Designed and built Looker models and dashboards to meet the data analysis and reporting needs of the organization, leveraging advanced SQL skills and data modeling techniques.
Collaborated with data analysts and business users to understand their data needs, providing training and support on how to use Looker effectively.
Collaborated with IT and data professionals to integrate Looker with other systems and tools as needed, ensuring seamless data integration and maximum efficiency.
Developed interactive dashboards in Tableau to help eCommerce teams gain insights into their catalog data and make more informed decisions.
Utilized Tableau's data blending functionality to combine data from multiple sources, including transactional data, customer data, and product data, to create comprehensive dashboards.
Created custom calculations and visualizations in Tableau to highlight key metrics such as revenue, profitability, and customer behavior.
Collaborated with stakeholders to identify key performance indicators (KPIs) and design dashboards that would help them track progress towards business goals