Sr Data Analyst

Target • Minneapolis, MN

19h • Hybrid

About The Position

A Sr. Data Analyst role with our Property Analytics team means you will support and advance the data and analytics capabilities related to Target Properties’ strategic initiatives to drive returns on capital spend in stores and reduce program expenses. As a part of the Properties Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product managers and engineers. They support all Properties strategic initiatives with data, reporting and analysis. Properties teams rely on this team of analysts to bring data to support decision making. As a Sr. Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data. You will work within an agile environment which requires active participation in ceremonies and team meetings. In this role, you’ll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiative requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leverage in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability is still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs.

Requirements

• BA/BS or equivalent experience
• 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc.
• Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.)
• Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation
• Experience developing metrics, reports, visualizations and/or statistics while documenting code and adhering to data management principles
• Advanced proficiency in at least 1 visualization tool (i.e. Power BI, Domo, Tableau) with willingness and ability to learn additional visualizations tools
• Knowledge of AB Testing methods, time series, S&OP planning, forecasting models including statistical analysis

Responsibilities

• Exploring data, technologies, and the application of mathematical techniques to derive business insights.
• Determining the best approach to gather, model, manipulate, analyze and present data.
• Working within an agile environment which requires active participation in ceremonies and team meetings.
• Continuously upskilling to stay current with new technologies in the industry via formal training, peer training groups and self-directed education.
• Supporting a new initiative requiring new data and metric development.
• Leveraging in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions.

Benefits

• Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree
• Number of Employees: 5,001-10,000 employees