Marketing Data Analyst, Technology Ventures, Mc Lean, VA
Technology Ventures -
Mc Lean, VA,
US
Marketing Data Analyst
Date Posted: 2024-05-22
Job description
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