The Sr. Data Science Analyst will build out and automate reports & dashboards, extract data from multiple sources to build models used to fine-tune customer strategies and build more advanced AI/machine learning tools and processes.
Requirements
- Strong analytical and data wrangling skills allowing to move quickly through large volumes of data
- Strong Power BI, SQL, Snowflake, Adobe Analytics and Google Analytics technical skills
- Proven success in using data-driven analysis to assess opportunities and drive results
- 1-3 years of SQL experience pulling, querying, and creating data tables
- Utilizing data science toolkits such as R and Python (excellence in at least one of these)
- Data affinity with attention to detail
- Solution and problem-solving oriented
Responsibilities
- Automating reports, dashboards, and other performance tools
- Data engineering/mining (collecting, transforming, cleansing and analyzing)
- Providing valuable business analytics and insights out of raw data
- Utilizing different databases and connections and 3rd party data sets to enhance analytics scope
- Building data visualizations in Power BI
- Building AI/machine learning tools to optimize analytics and processes within the company
- Using SQL query language to pull large masses of data from Snowflake tables for business analysis
Other
- Strong Presentation Skills and Delivery Skills
- Able to quickly interpret the data and transition it into tangible business recommendation
- Aggressive in pursuing opportunities and focused on providing technical and analytical business solutions to drive store level results
- Creative thinker focused of problem solving, finding efficiencies and streamlining processes
- Flexible and adaptable, team-player able to work in a dynamic group environment
