Identify ways to improve data reliability, efficiency and quality.
Business Analytics 50%
Perform in-depth app/app features life cycle analysis that is in sync with the product life cycle. Make app/app features iteration recommendations to the retail mode team to boost customer retention and eventually drive product sales. Being the brain that drives app development projects.
Integrate recurring business analysis into existing tableau dashboards. Create and modify existing dashboards according to changing business needs.
Develop and document business requirements. Connect and validate business requirements against multiple datasets.
Distill high level business objectives and customer behavioral feedbacks into clear, well-defined analytics projects, and produce actionable business insights.
Qualifications and Requirements:
5+ years of experience with Python, statistical analysis and data mining techniques.
5-8 years of demonstrated experience and success in data modeling.
Extensive experience in complete life cycle implementation of big data cloud ecosystem in AWS, components such as EC2, S3, SNS, SQS.
Strong SQL end to end experience.
Proven understanding and hands on experience with Hadoop, Hive, Pig, Impala, and Spark. writing Unix, Bash, Korn shell script.
Understanding of query algorithms and optimization in Cloud environment, high-speed querying using in-memory technologies such as Spark.
Extensive experience handling diverse file formats.
Knowledge on software development life cycle and physical product life cycle.
Exceptional interpersonal and communication skills
