
Retail company.
Sr Data Analyst at Target
About the role
The pay range is $88,000.00 - $158,000.00
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.
Target’s distinctive brand love is infused throughout its many physical locations by the Properties teams. We have a direct and positive impact on the real estate, design, construction and maintenance of our stores, distribution centers and headquarters. Are you ready to help strategically grow Target’s brand through leading-edge design, development, construction and preservation? Can you effectively balance the efficiencies of a large-design build company with the unique challenges and innovative solutions required by individual sites? Then take your place on one of our Properties teams, and help us make the most of Target’s physical assets, both in the U.S. and overseas.
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.
About you:
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BA/BS or equivalent experience
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3+ years of work experience in data analysis or masters level education in business analytics, data science, etc.
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Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.)
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Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation
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Experience developing metrics, reports, visualizations and/or statistics while documenting code and adhering to data management principles
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Advanced proficiency in at least 1 visualization tool (i.e. Power BI, Domo, Tableau) with willingness and ability to learn additional visualizations tools
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Knowledge of AB Testing methods, time series, S&OP planning, forecasting models including statistical analysis
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 candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Required skills
Data analysis
Reporting
Business insights
Stakeholder management
Problem solving
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About Target

Target
PublicTarget Corporation, doing business as Target, is an American retail corporation headquartered in Minneapolis, Minnesota, United States. Target operates retail stores. It is the eighth-largest retailer in the United States and is a component of the S&P 500 Index.
10,001+
Employees
Minneapolis
Headquarters
$78B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.2
Compensation
2.8
Culture
4.1
Career
3.5
Management
4.0
68%
Recommend to a friend
Pros
Friendly coworkers and great team environment
Flexible scheduling and hours
Supportive and approachable management
Cons
Limited or insufficient hours for part-time staff
Long hours and high stress during peak/holiday seasons
Low pay and non-competitive compensation
Salary Ranges
50 data points
Junior/L3
Mid/L4
Lead
Director
Junior/L3 · Decision Sciences Analyst
1 reports
$104,000
total per year
Base
$80,000
Stock
-
Bonus
-
$104,000
$104,000
Interview experience
46 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Offer rate
20%
Experience
Positive 65%
Neutral 21%
Negative 14%
Interview process
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
Common questions
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
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