Data Analyst - Digital & E-commerce (experimentation, ML, Math/Stats)

Target Brands, Inc.

$69K — $125K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Four-year degree or equivalent experience
  • 1+ year as a Data Analyst with quantitative field background
  • Intermediate SQL skills for complex queries
  • Strong problem solving and analytical skills
  • Excellent communication skills for technical and business discussions
  • Knowledge of AB Testing methods and forecasting models
  • Experience with analytics tools like SQL, Excel, and Python

Responsibilities

  • Leverage data, statistics, and visualization to generate actionable insights
  • Collaborate with cross-functional teams to analyze trends and optimize strategies
  • Build scalable reports and data visualizations to communicate insights
  • Support data-driven decision-making processes across business functions
  • Ensure accuracy and security of data in reports and analyses
  • Cultivate relationships with partners to address data needs and improvement opportunities
  • Utilize advanced analytics tools and methodologies for predictive modeling

Benefits

  • Comprehensive health benefits including medical, vision, and dental insurance
  • 401(k) plan for retirement savings
  • Employee discount program
  • Short-term and long-term disability insurance
  • Paid sick leave and national holidays
  • Paid vacation time
Full Job Description
The pay range is $69,800.00 - $125,700.00

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 .

A role with our Digital Analytics and Insights group means being part of a team that enables data-driven decision-making to enhance business performance in the modern retail landscape. As a Data Analyst, you will leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions.

In this role, you will utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement. You will collaborate with cross-functional teams to analyze trends, optimize digital strategies, and provide clear recommendations for business growth. We are looking for an analytical thinker with hands-on experience in data extraction, transformation, and visualization. The ideal candidate should be comfortable working with large datasets, building scalable reports, and simplifying complex data to enable efficient decision-making. If you are passionate about analytics, can work independently as well as in a team, and have a keen eye for identifying opportunities through data, you will thrive in our team!

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

About you: 

  • Four-year degree or equivalent experience

  • 1+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience Intermediate SQL experience writing complex queries

  • Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation

  • Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations

  • Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results

  • Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them

  • Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models  including statistical analysis

  • Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

  • Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly. Prepare data models and analysis to identify, analyze and interpret trends or patterns in complex data sets for values and new opportunities.

  • Experience leveraging advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making

  • Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy

  • Ensures the accuracy, consistency, and security of data across all reports and analysis

  • Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives

​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 rolewill need to beperformedboth 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.

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