Senior Data Solutions Analyst (P4584)

84.51 Overview:

84.51 is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51 Insights, 84.51 Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51!

SENIOR DATA (SOLUTIONS) ANALYST (P4584)

Summary

The Senior Data Solutions Analyst will serve as a subject matter expert in data management and solutions, focusing on data stewardship, querying, and strategic use. This role requires a deep understanding of the organization's data assets, the ability to craft solutions that optimize data usage, and the capability to communicate insights and recommendations to stakeholders effectively.

Responsibilities

• Be comfortable working in different technologies, flexing when needed (Azure, Snowflake, Databricks, Hadoop, API's, Tableau, PowerBI, Grafana)

• Have strong business and storytelling acumen to understand and support current and future strategy needs.

• Enjoy working in an exploratory role with the ability to drive for results in ambiguity.

• Have strong statistical, ETL, and data science acumen and a passion around bringing new methodologies and capabilities to life to solve business problems.

• Be comfortable thinking outside the box or creatively problem solving.

Data SME/Data Owner

• Own connection and relationship back to data source stakeholders/vendor (internal and/or external).

• Possess deep knowledge and understanding of your data assets and domain.

• Advise, alert and resolve data issues and discrepancies to provide support to internal teams and external clients using the data.

• Develop deep understanding of the business domain, business context and products that use your data.

• Identify opportunities for process improvement and innovation in data management practices.

Data Discovery

• Collaborate on data discovery for new/existing data (internal, Kroger, 3rd party, etc.), including data queries/analysis using various tools (e.g. SQL, PySpark, BigQuery, etc.) in partnership with data science team members to determine usability.

• Document data assets, how they are used, who owns/supports asset, and ETL processes (examples: data mapping, flow diagrams, data dictionary, business rules, quality checks, etc.)

• Create data publishing requirements to inform engineering partners.

• Validate and recommend new use cases for existing data.

• Collaborate with Product Owners/Managers and cross-functional development teams to ensure data needs and changes are articulated in Jira via Stories, Epics, Features

Data Governance

• Partner with upstream data owners on data ingestion, changes, impacts, etc., and ensuring plans and communications are in place for adequate testing, quality, reliability, performance, etc.

• Establish and enforce data governance policies and procedures to ensure data integrity and compliance.

• Monitor data quality metrics and address issues to maintain high standards of data accuracy.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Bachelor's or master's degree in information management, analytics, data science, mathematics, statistics, business administration, or related discipline.

• 2+ years proven experience in data analysis, management, or stewardship roles working with large datasets.

• Proficient in technology stack. Technology stack includes - Azure, SQL, Snowflake, Databricks, PySpark.

• Strong analytical, creative problem-solving and decision-making skills.

• Strong interpersonal, collaboration, communication, and storytelling skills.

• Ability to communicate technical concepts to technical and non-technical audiences.

• Able to understand cloud architecture, components and services and collaborate with Engineers.

• Passionate about data and technical documentation.

• Supply Chain data experience is a plus.

• Understanding of AI algorithms is a plus.

Pay Transparency and Benefits

• The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
• Below is a list of some of the benefits we offer our associates:
• Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
• Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
• Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range

$67,000-$181,250 USD