Sr. BI Analyst

Key Responsibilities include, but are not limited to:

• Develop and maintain scalable, automated dashboards and reports that benchmark and track progress against key operational performance goals and initiatives.
• Work with management and/or internal stakeholders to define business requirements and analytical needs and execute against them.
• Develop a deep understanding of existing eCommerce performance, customer, and productivity metrics, and develop new KPI's, metrics, and measures to gauge eCommerce performance.
• Own regular and ad-hoc analysis on operational performance and projects to continuously improve and scale Albertson's eCommerce operations.
• Understand and communicate root causes of impacts to performance and attainment of business objectives.
• Develop actionable insights and areas of opportunity for eCommerce operational performance, make recommendations to operating teams, and present findings to business stakeholders.
• Conduct data mining, regression analysis and other quantitative analysis using industry standard statistical and business analytics techniques.
• Perform data modeling using/modifying existing models.
• Work to define and structure eCommerce customer and operational data and ensure reliability and integrity of data sources.
• Partner across departments or business groups to obtain information, align priorities, and obtain buy-in from stakeholders and functional owners.
• Flag opportunities and challenges using data in the current processes and metrics to ensure proactive response and help business course correct or seize opportunities.
• Partner with store operations on improving in-store customer experience measurement and reporting with the goal of driving highly actionable results
• Partner with Analytics and Data Science teams to build dashboards that are more predictive of future outcomes to get ahead of the opportunities and/or issues
• Create automatic alerts to push relevant opportunities for the user to address (versus the user having to drill down into dashboards to determine opportunities)

• 4-year degree (Economics, Statistics, Mathematics, Computer Science, MIS or similar focus) and/or equivalent combination of education or work experience.
• 2+ years of experience in eCommerce, operations, fulfillment, finance, and/or analytics.
• Experience with data science analytical tools, e.g. R, Python, and advanced level Excel
• Experience with data query and extraction technologies (e.g. SQL, Teradata, Snowflake)
• Experience with data visualization tools (e.g. Power BI, Tableau, Looker, Domo)