Walmart Global, a leading multinational corporation, is seeking a Data Analyst II specializing in Data Analytics for its operations based in Bangalore. The ideal candidate should possess a Bachelor’s Degree in a relevant field and exhibit 0-2 years of experience in data analysis. This role presents an exciting opportunity to delve into the vast realm of data analytics within one of the world’s largest retail corporations. The selected candidate will be tasked with leveraging data to extract valuable insights, drive informed decision-making processes, and contribute to the optimization of various business operations.
Company Name: Walmart Global
Job Role: Data Analyst II, Data Analytics
Education Required: Bachelor’s Degree
Experience Required: 0 – 2 years
Job Location: Bangalore
Role and Responsibilities:
- Manage end-to-end engineering solutions for Machine Learning at scale.
- Integrate data science solutions into tangible products.
- Write efficient and quality code that can work @ Wal-Mart scale
- Productionize ML models – tackle all model management challenges.
- Parallelize algorithms/ model training to make use of distributed infrastructure and reduce training time significantly.
- Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.
- Interact with data science groups across Walmart to understand their major engineering challenges, build and propose solution for them.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
Required Skills and Qualification:
- Bachelors with 0 – 2 years of relevant experience.
- Experience in Analyzing Complex Problems and translate it into data science algorithms
- Sound knowledge in several areas in core ML such as Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms.
- Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/ Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
- Experience with big data analytics – identifying trends, patterns, and outliers in large volumes of data.
- Strong Experience with one or more of Python and R.
- Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala)
- Experience with Teradata, SQL and relational databases, data warehouse.
