Business Intelligence Analyst III

A bachelor’s, master’s degree or equivalent experience in information technology, engineering, statistics, computer science, business with analytics focus, or related field.
Current permanent US. work authorization required.
4 plus years of related full-time experience in an analyst role working on a business team, preferably in e-commerce or retail industry.
Advanced knowledge of SQL and prior experience with data modelling and performance tuning techniques are a must-have.
Experience with ETL techniques and business intelligence tools (Tableau, KNIME, Control M, SSIS, Alteryx etc.) used for data transformation.
Solid knowledge on using data visualization tools (preferably Tableau) working with multiple data sources and several dashboards.
Demonstrable success in interpreting data and analyzing results using statistical techniques and presenting findings to business partners across the organization.
Experience applying statistical techniques such as hypothesis testing, correlation, classification, regression, and time series forecasting.
Experience using machine learning frameworks in R or Python to drive process improvement is a big plus.
Experience with Git, Jira, and Confluence to manage source code and track project development.

Set up data pipelines and ensure data integrity across the systems.
Analyze large data sets and investigate data anomalies.
Develop intuitive data visualizations and extract actionable insights.
Communicate results with partners and train and mentor Team Members.
Develop solutions for business problems and automate manual data processes.
Perform deep-dive investigations into data questions and weave findings into an effective story.
Develop operational metrics and build proven data products using BI tools and other software.
Work with partners to implement methods used in analysis to drive analytic insight around findings.
Lead quality control and testing initiatives for work produced by Analytics team.
Conceive, develop, and implement analytics solutions to complex business problems.
Work with cross-functional partners in defining and documenting requirements for building high quality and impactful data products.
Develop and deliver communication and training plans on data analytics capabilities, standards, and processes.
Lead the evaluation, implementation and deployment of emerging tools and technologies to improve productivity.

Experience using machine learning frameworks in R or Python to drive process improvement is a big plus.