About us:As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
Overview about TII:
At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.
About the Role:
Join the Data Analytics (DA)team at TII across domains such as Marketing and Digital, Merchandising, Supply Chain and Logistics, Store Operations, Finance and more. Here you'll collaborate with business leaders to turn data into insights that drive strategic decisions. You’ll be part of a fast-moving, high-impact environment focused on leveraging business intelligence and advanced analytics to solve real-world problems.
This role combines technical expertise with business understanding to uncover and communicate actionable insights using cutting-edge statistical and analytical techniques.
Behind one of the world’s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We’re also the source of the data and analytics behind Target’s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.
As a Sr Data Analyst for Target’s Data Analytics team you’ll:
- Support our world-class leadership teams at Target with critical data analysis that helps business team to make profitable decisions.
- Enable faster, smarter and more scalable decision-making to compete and win the modern retail market.Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data.
- Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results.
- Design, develop, and deliver analytical solutions resulting in decision support or models
- Gather required data and performs data analysis to support needs.
- Communicate impact of proposed solutions to business partners
- Evaluate processes, analyzes and interprets statistical data
- Develop business acumen and cultivate client relationships
- Present results in a manner that the business partners can understand. Translate scientific methodology to business terms.
- Document analytical methodologies used in the execution of analytical projects
- Participate in knowledge sharing system to support iterative model builds
- Adheres to corporate information protection standards.
- Keep up to date on industry trends, best practices, and emerging methodologies
Requirements / About You:
Experience: Overall 5-8 years exp and relevant 3-5 years exp
Qualification: B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent
- Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts.
- Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools.
- Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets.
- Hands on experience in R, Python, Hive or other open-source languages/database
- Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above
- Git source code management & experience working in an agile environment.
- Strong attention to detail, excellent diagnostic, and problem-solving skills
- Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines
- Competent and curious to ask questions and learn to fill gaps, desire to teach and learn.
- Excellent communication, service orientation and strong relationship building skills
- Experience with Retail, Merchandising, Marketing will be strong addons
Useful Links-
Life at Target- https://india.target.com/
Benefits- https://india.target.com/life-at-target/workplace/benefits
Culture- https://india.target.com/life-at-target/belonging
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Targetについて

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+
従業員数
Minneapolis
本社所在地
$78B
企業価値
レビュー
10件のレビュー
3.7
10件のレビュー
ワークライフバランス
3.2
報酬
2.8
企業文化
4.1
キャリア
3.5
経営陣
4.0
68%
知人への推奨率
良い点
Friendly coworkers and great team environment
Flexible scheduling and hours
Supportive and approachable management
改善点
Limited or insufficient hours for part-time staff
Long hours and high stress during peak/holiday seasons
Low pay and non-competitive compensation
給与レンジ
50件のデータ
Junior/L3
Mid/L4
Lead
Director
Junior/L3 · Decision Sciences Analyst
1件のレポート
$104,000
年収総額
基本給
$80,000
ストック
-
ボーナス
-
$104,000
$104,000
面接レビュー
レビュー46件
難易度
4.0
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 65%
普通 21%
ネガティブ 14%
面接プロセス
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
よくある質問
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
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