Technology Ventures
Marketing Data Analyst
Technology Ventures, Mc Lean, Virginia, us, 22107
Data Scientist/Visualization -
Objectives of this role• Building models to address business problems• Presenting information using data visualization techniques• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy• Analyze data for trends and patterns, and interpret data with clear objectives in mind• Collaborate with data strategy and engineering teams to develop an understanding of reporting needs• Enable smarter business processes by using analytics for meaningful insights• Identify potential relevant data sources and sets to mine for business reporting needs, and collect large structured and unstructured datasets and variables• Working in collaboration with stakeholders including AWS engineers, architects, and analytics team to build infrastructure and relational database structures that will support current and future business objectives
Required skills and qualifications• Proficiency with data mining, cleaning and normalizing• Advanced experience with data visualization/reporting tools Power BI, Tableau• Proficiency in SQL, Python/JSON programming languages for ETL processing• AWS, S3, Redshift/Spectrum experience• Experience in pattern recognition and predictive modeling• Ability to take complex, nested data structures and flatten them into useable relational solutions• Data transformations and building tables for Reporting use
Objectives of this role• Building models to address business problems• Presenting information using data visualization techniques• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy• Analyze data for trends and patterns, and interpret data with clear objectives in mind• Collaborate with data strategy and engineering teams to develop an understanding of reporting needs• Enable smarter business processes by using analytics for meaningful insights• Identify potential relevant data sources and sets to mine for business reporting needs, and collect large structured and unstructured datasets and variables• Working in collaboration with stakeholders including AWS engineers, architects, and analytics team to build infrastructure and relational database structures that will support current and future business objectives
Required skills and qualifications• Proficiency with data mining, cleaning and normalizing• Advanced experience with data visualization/reporting tools Power BI, Tableau• Proficiency in SQL, Python/JSON programming languages for ETL processing• AWS, S3, Redshift/Spectrum experience• Experience in pattern recognition and predictive modeling• Ability to take complex, nested data structures and flatten them into useable relational solutions• Data transformations and building tables for Reporting use