Description:
Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.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. 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
search engine optimization, enterprise item strategy, target guest facing experiences 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.
A role with Data Analytics means being a part of 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.
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.Tech / 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 written and verbal communication skills to 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.
Qualifications:
Job Description Luxoft is a top quality IT service provider of high-end business solutions to clients across the globe. With...
Apply For This JobDesired profile of the candidate – The General Manager of Factory Plant Operations is responsible for the overall management and...
Apply For This Jobbr{display:none;}.css-58vpdc ul > li{margin-left:0;}.css-58vpdc li{padding:0;}]]> We are looking for freelance Chartered Accountants to perform the following duties: Preparing the profit...
Apply For This Jobbr{display:none;}.css-58vpdc ul > li{margin-left:0;}.css-58vpdc li{padding:0;}]]> Looking For Accountants/Bookkeepers US Based Accounting Firm looking for an Accountants for our office at...
Apply For This JobJob Description Who You Are: We are looking to hire a Sr Data Scientist (India) to help support our Data...
Apply For This JobIdentifying potential customer base and council them about the Products; Responsible for ensuring smooth, seamless on boarding of new customers;...
Apply For This Job