Safeway - Pleasanton, CA

posted 2 months ago

Full-time - Mid Level
Remote - Pleasanton, CA
10,001+ employees
Food and Beverage Retailers

About the position

The eCommerce Business Intelligence Analyst will serve a critical role in helping to define and measure fulfillment performance across the Albertsons ecommerce organization. This position is essential in providing the analytic backbone necessary to drive business performance and assist functional leaders in making informed decisions. The role is based in Pleasanton, CA, and is part of a hybrid work environment that balances remote work with office time, reflecting the company's commitment to adaptability and family well-being. In this role, the analyst will develop and maintain scalable, automated dashboards and reports that benchmark and track progress against key operational performance goals and initiatives. They will work closely with management and internal stakeholders to define business requirements and analytical needs, executing against them to ensure that the eCommerce operations are continuously improved and scaled. A deep understanding of existing eCommerce performance, customer, and productivity metrics will be crucial, as the analyst will be responsible for developing new KPIs, metrics, and measures to gauge eCommerce performance effectively. The analyst will own regular and ad-hoc analysis on operational performance and projects, providing actionable insights and identifying areas of opportunity for eCommerce operational performance. They will communicate root causes of impacts to performance and attainment of business objectives, making recommendations to operating teams and presenting findings to business stakeholders. Additionally, the role involves conducting data mining, regression analysis, and other quantitative analyses using industry-standard statistical and business analytics techniques, as well as performing data modeling and ensuring the reliability and integrity of data sources. Collaboration is key in this position, as the analyst will partner across departments to align priorities and obtain buy-in from stakeholders. They will also work with store operations to improve in-store customer experience measurement and reporting, aiming to drive highly actionable results. Furthermore, the analyst will collaborate with Analytics and Data Science teams to build predictive dashboards and create automatic alerts to highlight relevant opportunities for users.

Responsibilities

  • 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.

Requirements

  • 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.
  • Advanced knowledge and experience with data science analytical tools, e.g. R, Python, and advanced level Excel.
  • Knowledge and experience with data query and extraction technologies (e.g. SQL, Teradata, Snowflake).
  • Knowledge and experience with data visualization tools (e.g. Power BI, Tableau, Looker, Domo).

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Disability insurance
  • Life insurance
  • Sick pay (accrued based on hours worked)
  • PTO/Vacation Pay (accrued based on hours worked) or Flexible Time Off
  • Paid holidays (8-9 days annually)
  • Bereavement pay
  • Retirement benefits (such as 401(k) eligibility)
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