Data Analyst

The pay range is $73,200.00 - $131,700.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, 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.

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Join our team as a Threat Detection Analyst and use data to solve fraud and abuse problems. We are looking for a highly motivated and curious data professional to join our growing data and analytics team. In this role, you will work with a team of skilled and experienced data analyst to reliably solve complex problems, while getting hands-on experience with cutting edge technologies. In this hybrid role, you will work across the full data lifecycle—collecting, processing, analyzing, and modeling large-scale datasets to uncover actionable insights, build ML ready features, and support real-time analytics pipelines. The ideal candidate is someone who enjoys working with both data infrastructure and analytical modeling, and who’s passionate about solving real world business problems using data.

Key Responsibilities:

• Collaborate with cross-functional teams to understand business goals and translate them into data solutions

• Clean, transform, and analyze large datasets using Python, SQL, Hive/Hadoop, and Spark

• Perform exploratory data analysis (EDA) and present findings with clarity and insight

• Build and maintain data pipelines, streaming jobs, and batch workflows for ingestion, transformation, and delivery

• Work with product, analytics, and engineering teams to ensure data governance, data quality, and documentation

• Use tools like Splunk for monitoring, log analysis, and root cause investigations

• Contribute to the design and implementation of data-driven systems and dashboards

Core responsibilities are described within this job description. Job duties may change at any time due to business needs.

About You:

• Bachelor’s degree in computer science, Data Science, Engineering, or related field (or equivalent practical experience)

• 0–2 years of experience in data engineering, analytics, or data science roles

• Strong proficiency in Python for data analysis and scripting (Pandas, NumPy, etc.)

• Good understanding of machine learning basics (supervised/unsupervised learning, overfitting, feature selection)

• Experience working with SQL, Hive, and Hadoop-based ecosystems

• Exposure to Apache Spark for large-scale data processing

• Understanding of data wrangling techniques and working with structured and semi structured data

• Experience with cloud data infrastructure, especially Google Cloud Platform (GCP)

• Familiarity with BigQuery for analytics at scale is highly preferred

• Hands-on experience with Splunk is a plus (for data search, dashboards, or log analysis)

• Familiarity with data governance practices, version control (Git), and workflow orchestration tools (e.g., Airflow) is a bonus

• Excellent problem-solving skills and ability to learn quickly in a dynamic environment

• Passion for working with data to solve meaningful business problems

• A growth mindset and eagerness to learn new tools and techniques

• Team player with strong communication skills and the ability to work independently

• Willingness to dig into both analytical questions and engineering infrastructure

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

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 [email protected].

Application deadline is : 10/19/2025