Data Science & Data Analytics role

• Perform descriptive, predictive, and prescriptive analytics in Python, SQL, Azure, Power BI, and MS Excel using statistical models or industry accepted tools
• QA testing SQL and Power BI reports (validate data/logic, both front end and back end, data integrity and data quality)
• Python - data analysis Experience with Time Series Modelling.
• Solid experience with data modeling, forecasting, and data segmentation experience
• Strong ability to create reports and dashboards using Power BI.
• Analyzing customer and transactional data and developing reporting in Power BI.
• Supporting new and ongoing data analytics/reporting use cases for the organization.
• Support key decision making by executives by researching and monitoring the market, competitor activities, any price movements and/or changes.
• Drive consumer intelligence through the development of external and internal data sources that improve the business’s understanding of the product’s market, competitor activities, and consumer activities in various markets across the US.
• Provide automated data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
• Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization.
• Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions.
• Knowledge of data modeling, data ingestion, data governance, data quality management
• Innovative thinking, ability to challenge the status quo.

Prior data science experience a plus!