Arvind Lifestyle Brands - Assistant Manager/Manager - Corporate Strategy

Role: Asst. Manager/Manager - Corp. Strategy

Role: This role will serve as an internal analytics consultant within Arvind, while reporting into Head Of Strategy. The individual should be able to devise and execute advanced analytics solution to improve efficiency and quality of decision making to various business problems faced in the apparel and retail domain.

Responsibilities:

a. Understand the business problem faced in apparel/retail in the domain of planning, store assortment allocation, markdowns, inventory management etc. and devise the advanced analytics solutions to solve the same.

b. Collaborate with various stakeholders (retail planners, retail operations, IT, Finance etc.) in understanding the business challenges and for alignment of the proposed analytical approach

c. Carry out all activities needed in execution of the analytics solution: analytics framework development, data collation, processing and transformation; execution of the algorithm; interpretation of the output and correction as needed

d. Project manage and own the delivery of advanced analytics projects

e. Create and deliver presentations of project findings to relevant stakeholders (Head Strategy, Business point of contact etc.)

f. Be at the forefront of the latest advancements in analytics and drive best practices adoption within Arvind Fashion Limited

g. If needed, identify, engage and work with other analytics partner to bring advanced analytics applications within Arvind

Desired Skill set:

a. Preferred qualification: Masters in a quantitative discipline; certifications in analytics is an added advantage

b. At least 2-3 yrs of prior experience in retail analytics. Experience with apparel industry is an added bonus.

c. Extensive experience in advanced statistics, data mining and algorithms: Well versed with techniques like linear and non-linear regression, Bayesian Analytics, Segmentation, Machine Learning (Artificial Neural Networks, Random forest, Gradient Boosting, SVM, MCMC), Decision trees, Hidden Markov models, sentiment analysis etc.

d. Experience in handling/massaging and analyzing large amount of data including structured and unstructured data

e. Hands on experience and expertise in analytical tools & techniques such as

- Predictive Analytics: SAS, SPSS, R etc.

- Optimization: AIMMS, SC Guru etc.

- MS Office: Excel, VBA macros, power points

- Databases: MS Access, SQL etc.

- Visualization: Tableau, Qlikview etc.

f. Strong problem solving skills, attention to detail, analytical acumen, creativity, and a proven work ethics

g. Strong project management and stakeholders management capabilities; ability to work independently and manage multiple task assignments simultaneously without sacrificing quality or impacting deadlines

h. Excellent verbal and written communication skills