Senior Data Analyst @ LTIMindtree

Job Description

As a Sr Data Analyst for Targets Merch Data Analytics team, youll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps the business team 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 Evaluate processes, analyze 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 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 BA/BS in a quantitative degree Math, Statistics, Econometrics, Data Sciences, Computer Science or equivalent work experience Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. We have proven hands-on experience in BI Visualization tools (i.e. Tableau, Domo, MSTR10, Qlik) with the ability to learn additional vendor and proprietary visualization 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

Employement Category:

Employement Type: Full time
Industry: Retail
Role Category: Testing
Functional Area: Not Applicable
Role/Responsibilies: Senior Data Analyst

+ View Contact

Keyskills:   Data Analysis SQL Oracle Hive R Python Regression Git Agile Retail Merchandising Marketing BI Visualization Structured Query Language Teradata Hadoop Distributed File System Timeseries models Classification Techniques