Swoon
Data Analyst
Swoon, Atlanta, Georgia, United States, 30383
Qualifications
Proven experience as a Data Analyst, BI Engineer, Automation Specialist or similar role.Expertise in designing and implementing Extract, Transform, Load (ETL) processes for efficient data movement and transformation.Proficiency in creating dashboards using tools such as Tableau for effective data visualization and reporting.Domain knowledge in procurement or source-to-pay systems, demonstrating a deep understanding of data integration within these domains.Familiarity and hands-on experience with SnapLogic or similar low code/no code system integration tools.Strong analytical and problem-solving abilities; skilled in identifying and resolving complex integration issues.Expertise in multiple integration platforms and tools, such as REST/SOAP APIs, ETL tools, XML/JSON, Postman.Collaborate with cross-functional teams to understand business requirements and translate them into effective data integration and automation solutions.Excellent problem-solving skills and ability to work collaboratively in a team environment.Strong communication skills to convey technical concepts to both technical and non-technical stakeholders.Responsibilities
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics.They will be responsible for conducting both recurring and ad hoc analysis for business users.A Data Analyst interprets data and turns it into information which can offer ways to improve a business, thus affecting business decisions.Data Analysts gather information from various sources and interpret patterns and trends.Once data has been gathered and interpreted, the Data Analyst will report back what has been found in a comprehensive study to the wider business/relevant colleagues.
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Proven experience as a Data Analyst, BI Engineer, Automation Specialist or similar role.Expertise in designing and implementing Extract, Transform, Load (ETL) processes for efficient data movement and transformation.Proficiency in creating dashboards using tools such as Tableau for effective data visualization and reporting.Domain knowledge in procurement or source-to-pay systems, demonstrating a deep understanding of data integration within these domains.Familiarity and hands-on experience with SnapLogic or similar low code/no code system integration tools.Strong analytical and problem-solving abilities; skilled in identifying and resolving complex integration issues.Expertise in multiple integration platforms and tools, such as REST/SOAP APIs, ETL tools, XML/JSON, Postman.Collaborate with cross-functional teams to understand business requirements and translate them into effective data integration and automation solutions.Excellent problem-solving skills and ability to work collaboratively in a team environment.Strong communication skills to convey technical concepts to both technical and non-technical stakeholders.Responsibilities
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics.They will be responsible for conducting both recurring and ad hoc analysis for business users.A Data Analyst interprets data and turns it into information which can offer ways to improve a business, thus affecting business decisions.Data Analysts gather information from various sources and interpret patterns and trends.Once data has been gathered and interpreted, the Data Analyst will report back what has been found in a comprehensive study to the wider business/relevant colleagues.
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