Data Analyst | Data Quality Analyst | DWH Developer

Crafting monthly and yearly reports that offer valuable insight; Fetching and analyzing data on specific topics whenever it’s needed; Utilizing visualization tools to create compelling dashboards and reports that effectively communicate complex data trends; Developing and implementing KPI tracking mechanisms.

Analyze data to extract insights and trends; Interpret complex data sets to identify patterns and correlations; Collaborate with stakeholders to understand business requirements; Clean and preprocess data to ensure accuracy and reliability; Continuously monitor data quality and integrity; Design and develop data warehouse architecture to support business needs; Build and maintain ETL processes for data integration; Optimize data warehouse performance for efficient querying and reporting; Troubleshoot and resolve issues related to data warehouse operations.

Monitor all BI reports; Monitor all reports shown in company’s products back offices; Evaluate system performance and design, as well as its effects on data quality; Collaborate with data engineers to improve data collection and storage processes; Collaborate with business analysis team to check the business logic or report about business logic issues found in reports; Reporting data analysis findings to management to inform business decisions and prioritize information system needs; Developing and supporting automations, using python, for performing day-to-day data quality checks; Contributed to compliance monitoring efforts by flagging irregular patterns and aligning reporting practices with regulated gambling market requirements.

Conduct initial assessment and validation of received data to ensure quality and compliance with integration requirements; Manage and execute data migration processes for partners during the onboarding phase; Perform initial data imports and conduct periodic quality checks post-database integration to ensure accuracy and consistency; Develop and implement automated testing procedures using Python and SQL to streamline data validation and improve efficiency; Collaborate with cross-functional teams to resolve data-related issues and optimize migration processes; Reporting data validation findings to management to inform business decisions and prioritize information system needs; Maintain detailed documentation of data migration activities, test cases, and issue resolutions.

Orchestrating seamless product deliveries and ensuring their timely arrival, while collaborating with a diverse arrays of vendors; Efficiently manage multiple tasks at once, including handling customer complaints with professionalism and efficiency; Utilizing my critical prowess and the ability to swiftly devise solutions to overcome unexpected challenges.

Work closely with the organization’s partners representatives through multiple different channels; Provide timely, accurate and complete information using the right methods/tools; Answer partners’ inquiries related to services/products of the organization; Identify and assess partners’ needs to achieve satisfactions; Handle partners’ complaints providing appropriate solution or to find alternative options to solve issue if any; Find alternative options to solve issues if any, build sustainable, long relationships; Help create and analyze monthly reports based on incoming requests of partners.