About Us:
Target is an iconic brand a Fortune 50 company and one of Americas leading retailers. Behind one of the worlds best loved brands is a uniquely capable and brilliant team ofdata scientists engineers and analysts. The Target Data & Analytics team creates thetools and data productsto sustainably educate and enable our business partners to make greatdata-based decisions. We help develop the technology that personalizes the guest experience fromproduct recommendationsto relevant ad content. Were also the source of the data and analytics behind
search engine optimization enterprise item strategy target guest facing experiences and demand forecasting. We play a key role in identifying the test-and-measureor A/B testopportunitiesthat continuously help Target improve the guest experience whether they love to shop in stores or at .
A role withData Analytics means beinga partof the team that works closely with the business and identifies problems / opportunities for improved decision-making through better data analysis. This covers the whole gamut from simple descriptive analysis to more complex predictive and prescriptive
analytics. The emphasis is on actionable insights which is possible through a combination of technical skills and business understanding.
Roles & Responsibilities
As a Senior Data Analyst for Digital you will work closely with business teams and understand their priorities/roadmap. Based on this understanding you are expected to identify appropriate metrics that will drive the right decisions for the business and then build reporting solutions to deliver these metrics at the required frequency in an optimal and reliable fashion. You will also answer ad-hoc
questions from your business users by conducting quick analysis on relevant data identify trends and correlations and form hypotheses to explain the observations. Some of these will lead to bigger analytical projects of increasing complexity where you will work initially as a part of a bigger team
but also work independently as you gain more experience. Finally you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation code versioning etc.
Core responsibilities are described within this job description. Job duties may change at any time due to business needs.
About You:
/ B.E. or equivalent experience
4 years of relevant experience
Hands-on experience in analytics / data science
Excellent SQL skills
Experience with Digital Analytics space
Exposure to R Python Hive or other open source languages preferable
Big data experience preferable
Strong writtenand verbal communication skillsto explain complex analytical methodologies to clients regardless of the clients technical expertise
Experience in A/B test
Experience in Adobe analytics
Understanding of foundational mathematics and statistics
Conceptual understanding of analytical techniques like Linear Regression Logistic Regression Time-series models Classification Techniques etc.
Useful Links-
Life at Target- Experience:
Senior IC
1234 employees
Target Corporation is an American retail corporation. The eighth-largest retailer in the United States, it is a component of the S&P 500 Index.