What are the responsibilities and job description for the Manager BI Retail Analytics position at Ashley?
Description
Employer External Web Posting
Job Description
Ashley Global Retail, LLC has multiple openings for Manager BI Retail Analytics in Tampa, FL.
Obtain, cleanse, and transform data into insights that drive business value and strategy through data analytics, data science, and data modeling techniques and technologies. Responsible for supporting the optimization of store performance and order fulfillment insights across Ashley Furniture retail channels – ecommerce and brick and mortar stores -- through building machine learning models using Python on cloud platforms including Databricks, Microsoft Azure, Google Analytics. Extract, transform, and load data into cloud environments to prepare and structure data frames needed for modeling. Use multiple Python libraries and looping functions to create models to answer complex business problems and provide value. Utilize predictive and prescriptive analytical techniques including XGBoost, classification, KNN (K means clustering, nearest neighbor), NLP (natural language processing), and Neural Networks to analyze and structure model outputs for business consumption. Collect and analyze data to measure the impact of initiatives to support strategic business decision making. Utilize SQL language skills to translate the business needs into structured queries to return the required data to answer business questions. Based on the knowledge learned about different data structures and sources, work and communicate with data engineers to automate queries to run automatically on cloud database servers. Work with developers to provide the business at all levels with relevant, intuitive, insight-driven information that is directly actionable. Work with data engineering teams and software providers to continually optimize model and data transformation performance. Communicate and understand business needs, translate needs to data source systems, and work with data engineers to extract information from source systems into cloud database servers. Accountable for transforming key performance data into actionable insights and directed work, ensuring the optimal use of the business intelligence tools (PowerBI, Tableau, Excel, SQL Server) in support of the business. Utilize cloud platforms (Databricks, Microsoft Azure) to build and deploy machine learning products. Utilize visualization tools and software (PowerBI, Tableau, Excel) to structure and showcase results of analytical models. Travel will be required 10% of the time to other company locations within US and/or customer facilities.
Job Requirements
The position requires a Master’s degree in Engineering, Applied Statistics, Analytics, Finance or related field, and 3 years of experience in finance, analytics, operations or related. In the alternative, will accept a Bachelor’s degree in Engineering, Applied Statistics, Analytics, Finance or related field, and 5 years of experience in finance, analytics, operations or related.
Also, must have work experience in:
- SQL skills
- PowerBI or other visualization skills;
- Using Azure or other large data platforms;
- 3 years of experience performing advanced statistical analysis;
- Using any of the specialized analytics tools: Llamasoft, APT, SiteSpect, Google Analytics, R, Python, forecasting, A/B testing and experiment design, attribution modeling, specific machine learners; and
- Developing robust modeling and visualizations that answer intermediate to somewhat complex questions about a business area.
Please submit resume online via https://ashleycareers.ttcportals.com/.