Senior Operations Analyst

The pay range is : $105,186.00-$184,700.00

Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.

In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family.

Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.

Find competitive benefits from financial and education to well-being and beyond at https : / / corporate.target.com / careers / benefits.

EMPLOYER : Target Enterprise, Inc.

POSITION : Senior Operations Analyst

LOCATION : 1000 Nicollet Mall, Minneapolis, MN 55403

DUTIES : Use mathematical modeling and optimizing methods to solve business problems and aid in decision making by building a data pipeline from scratch and create project specific evaluation metrics with Greenfield & Automation Portal (25%).

Undertake exploratory analysis and statistical analysis of highly complex and large-volume datasets, containing billions of rows of data, with dataMiner & Visual Studio Code (13%).

Create data visualization / reporting with Greenfield & Automation Portal (19%). Assume the role of a peer leader to guide and support the onboarding process for new team members (13%).

Engage in Enterprise Ops leadership, inclusivity, and training tasks (13%). Provide routine presentation / share-out with external teams (5%).

Engage in cross-functional collaboration with project partners (12%). Take lead to answer ad-hoc requests, mostly relating to guest shopping pattern and volume (6%).

Utilize the following data analytics tools and technologies : Exploratory Analysis, Statistical Analysis, Regression Analysis, Predictive Modeling, Data Visualization, A / B Testing, SQL, R, Python, Hive, JIRA, Teradata, SAS, Hadoop, AWS, MapReduce, Spark, Greenfield, dataMiner, Visual Studio Code, Automation Portal, Microsoft Suite.

May telecommute from any location in the U.S.

REQUIREMENTS : At least a Master’s Degree in Data Science, Business Analytics, or a closely related field, and five (5) years of experience in operations analysis and / or business consulting (any title).

• Must include at least three (3) years of experience connecting business challenges with technical skills for solutions; analyzing data to make recommendations or inform feature selections;
• and delivering presentations to stakeholders. Must include at least two (2) years of experience applying data science to solve business challenges;
• developing, training, and testing machine learning models; conducting statistical analysis on datasets containing approximately 500 million rows of data using dataMiner and Visual Studio Code;
• performing exploratory analysis on retail specific datasets (item attributes table, location history table, sales table or inventory table) using dataMiner and Visual Studio Code;

creating data visualization and reporting with Greenfield and Automation Portal; and leading junior analysts / team members.

Must include at least six (6) months of experience utilizing SQL, Python, R, Hive, JIRA, Exploratory Analysis, Statistical Analysis, Regression Analysis, Predictive Modeling, and Data Visualization.

May telecommute from any location in the U.S.

APPLY ONLINE at https : / / corporate.target.com / careers, Job ID : R0000348448

SEND RESUME to : [email protected] and reference R0000348448

The application deadline is October 7, 2024.

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.

[email protected].

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