UnitedHealth Group - Lead Business Analyst - BigData/Hadoop

Discipline - Business Operations

Industry - Business Analysis

Job Description - Job Responsibilities :

We are looking for Lead Business Analyst as a Big Data Solution Architect/Expert with :

- Identify project issues, communicate them and assist in their resolution.

- Perform offline/online analysis of large data sets using components from the Hadoop ecosystem.

- Involve in big data technologies and prototype solutions to improve our data processing and analytics architecture.

Values Based Competencies:

- Passionate about asking and answering questions through the use of large structured and unstructured data

- Integrity: Shows consistency between action and words on a consistent basis

- Performance: Demonstrates urgency in pursing goals, Puts in extra effort to achieve outcomes required, has a strong commitment to quality and accuracy

No. of Openings - 3

Qualification - Required Skillset :

- Exp Range -3 to 6 years of experience in Apache Hadoop eco system, Data analytics.

- Minimum 2 - 4 Years of experience on Big Data Platform especially on Apache Spark.

- BE/B. Tech/MS in Computer Science or related area

- Programming language: Python, Java

- Experience in R is a Plus

- Candidate should be hands-on with Pig scripting, Hive queries and Apache Sqoop

- Candidate should be experience with Apache Spark

- Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors, Decision Trees, Random Forest, Na- ve Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc

- Strong analytical, problem solving and decision-making skills.

- Candidate must have implemented solutions based on NoSQL DB like HBase

- Excellent communication and decision making skills are essential.

- Strong analytical, problem solving and decision-making skills.

- Identify project issues, communicate them and assist in their resolution.

- Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle

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