Data Analyst

• 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 KPIs, metrics, and measures to gauge eCommerce performance.

• Own regular and ad-hoc analysis on operational performance and projects to continuously improve and scale Albertsons 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)

Qualification

• 4-year degree (Economics, Statistics, Mathematics, Computer Science, MIS or similar focus) and/or equivalent combination of education or work experience.

• 2 or more years of experience in eCommerce, operations, fulfillment, finance, analytics, and/or Power BI.

• Proven experience with data query and extraction technologies (e.g. SQL, Teradata, Snowflake, Google Big data Query)

• Proven experience with data visualization tools (e.g. Power BI, Tableau, Looker, Domo)

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