sr data analyst

Key Skills

Data science techniques, Database, HDFS, Machine learning techniques, Oracle, Python Programming, R Programming, SQL, Tableau, Teradata

Job Description

As a Sr Data Analyst for Target’s Merch Data Analytics team you’ll:

Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch 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.

• Interfaces with Target business representatives to validate business requirements/requests for analysis and present final analytical results. 
• Designs, develops, and delivers analytical solutions resulting in decision support or models
• Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners
• Evaluates processes, analyzes and interprets statistical data 
• Develop business acumen and cultivate client relationships 
• Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. 
• Documents 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

Qualification:

TI : B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent

US : BA/BS in a quantitative degree – Math, Statistics, Econometrics, Data Sciences, Computer Science or equivalent work experience

Requirements / About You:

• Overall 5-8 years experience and relevant 3-5 years experience and must have worked on Machine Learning(ML)
• Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts.
• 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
• Excellent communication, service orientation and strong relationship building skills
• Experience with Retail, Merchandising, Marketing will be strong addons