Assistant Manager- Operations Analytics

Job Description

1. Excellent programming skills in Python, creation of responsive dashboards, data mining, handle large data sets.
2. Experience in text analytics, machine learning, deep learning, and statistical analysis methods such as classification, collaborative filtering, association rules, sentiment analysis, topic modelling, time series analysis, regression, statistical inference, and validation methods.
3. As a lead of the big data team, lead a component design/development and implement scalable big data platform framework and services.
4. Ability to use data to drive products and decisions. Be able to explain complex technical concepts to various stakeholders’ leadership teams, product managers, support, and other engineers.
5. You will be involved in the design of data solutions using Hadoop-based technologies along with Hadoop, and AWS.
6. Design and implementation of various Big Data platform components like (Batch Processing, Live Stream Processing, Memory Cache, Query Layer (SQL), Rule Engine and Action Framework ).
7. Design and Implemented Data Access Layer, which can connect to various data sources and uses advanced caching techniques to provide fast responses to real-time SQL queries using Big Data Technologies.
8. Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies, spark architecture, Kafka, any Cloud computing etc.
9. Collaborate with leadership to define and set standards for engineering rigor and help cultivate the culture in the team.
10. Translate business needs to technical specifications and configure, design, develop, build, and deploy Power BI reports.
11. Analytical mind with a problem-solving aptitude, ability to perform root cause analysis, determine priority/urgency of issues, and be an expert in application troubleshooting, and configuration support.
12. Research, recommend, and implement tools as needed with the goal of automation within OCC.
13. Perform data analysis for generating reports periodically.
14. Proactively bringing issues and problems to the attention of the team; generating, proposing, and implementing innovative solutions as resolutions to any problems and issues.
15. Collaborate with Senior Managers and decision-makers to identify and solve a variety of problems and to clarify management objectives.
16. Recommend & prepare automated solutions after defining and evaluating problem statements. Where possible automate reporting so it can be produced promptly and be consistently accurate.
17. Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes to cost, efficiency and feasibility to business.
18. Define data requirements, gather, and validate information, and apply judgment and statistical tests.
19. Apply mathematical principles or statistical approaches to solve problems and determine appropriate methods for data analysis