Sr. Data Insights Analyst

The Sr. Digital Insights Analyst will serve as the insights technical leader on the Assortment Analytics team, working hand-in-hand with the Product Manager and data tech lead to make sense of complex data across multiple domains. The team is focused on assortment optimization (the Merchandizing funnel), and this role is the connective tissue between raw data and meaningful business decisions. This individual will need to be comfortable operating in ambiguous spaces, pulling things together from multiple sources and distilling it into something the business can actually act on. The Analyst will also play a key role in helping the team discover and enable data analytics capabilities that support emerging AI use cases.

Work cross-functionally utilizing data from multiple sources to identify trends and make insights recommendations that will optimize Kroger's digital products. Lead measurement definition with stakeholders to enable reporting results effectively, leading to quick and effective data-driven decisions. Effectively present insights through storytelling to specific product teams with actionable savings optimizations and opportunities called out. Build and create dashboards and reports for stakeholders, combining multiple data sources in one consolidated view. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.

RESPONSIBILITIES - Manage and act as key advisor on Adobe Analytics, Power BI, and other reporting tools to analyze and identify opportunities for improvements

• Perform end-to-end analyses that identify key drivers of emerging trends to drive digital product efficiencies and optimizations and deliver actionable next step recommendations to stakeholders

• Build custom analytics dashboards and reports that can effectively present digital performance to the appropriate audiences aligned to KPIs, working with teams to process the information, combining data sources and complex queries

• Lead reporting and present actionable insights through recommendations to advance digital products' usability and effectiveness using defined best practices

• Provide guidance and recommendations for success measures, KPI strategy, and product health measures across specific product teams

• Lead stakeholders to identify KPIs and NorthStar metrics in their measurement strategy and support their analytics needs through building dashboards that will enable insights and reporting

• Engage stakeholders through storytelling that effectively aligns supporting data to substantiate key points

• Must be able to perform the essential job functions of this position with or without reasonable accommodation

• Power BI, building dashboards and reports that translate complex data into clear visuals for stakeholders

• Insights and Analysis, ability to take ambiguous, complex data sets and distill them into clear, actionable business recommendations

• Stakeholder Partnership, comfortable working very closely with a Product Manager, translating business questions into analytical approaches

• AI Use Case Discovery, experience or strong curiosity around identifying where data analytics can enable or support artificial intelligence initiatives

• Databricks, ability to navigate the environment for data exploration and analysis (not necessarily an expert, but functional)

QUALIFICATIONS Minimum

Bachelors Degree data analytics, statistics, marketing, related field or equivalent experience

5+ years of experience using Adobe Analytics or Power BI

Any intermediate experience executing statistical methods and correlation analyses that show businessrelevant results

Any intermediate experience innovating and building new analytics capabilities that enable analytics to be better, faster and cheaper

Any experience with commercial behavioral data, eCommerce, navigation/path analysis, search, and testing methodologies

Any experience leading stakeholders to identify and define KPIs across specific product teams

1 year of experience presenting AB test results, AB insights, and AB testing recommendations to stakeholders

Intermediate storytelling skills that engage stakeholders with content and empower critical decisions to be made quicker and more confidently

Knowledge of data wrangling, cleaning, and transforming techniques

Desired

Any experience using Adobe Customer Journey Analytics, Adobe Experience Platform, Adobe Processing and Classification Rules, Adobe Variable and Metric Configuration

Any experience using SQL, R, NoSQL, Hadoop or Python

Any experience using other industry leading analytics tools for reporting and joining data

• Retail or Merchandising domain experience, understanding of assortment, inventory, or product data in a retail or CPG context

• SQL or Python, for pulling and manipulating data independently

• Experience with eCommerce

• Exposure to AI/ML concepts, understanding enough to have informed conversations with data science teams