• Us Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 21st Jan 2022

The Senior data Analytics is responsible for analytics strategy, data science, and business intelligence reporting, provide all aspects of business intelligence, advanced analytic modelling, and analysis to business stakeholders in order to drive performance, growth, and profitability.

Responsibilities:

- Proven knowledge working with relational databases including design, structure, and database management functions.

- Demonstrated experience working with large, complex data sets and disparate data sources across various platforms.

- Advanced SQL skills

- Demonstrated experience working with NoSQL data sources.

- Proven proficiency in visualization techniques, dashboard design, decision support tools, and automation, with experience using data visualization

- Proven proficiency in programming languages

- Excellent communication skills, including experience presenting to executive level leadership and communicating complex ideas in an understandable manner to management

- Experience with version control software and tools (Git, GitHub, Azure DevOps)

- Experience in developing KPIs / management system dashboards and reporting

- Experience with Azure or other cloud providers

- Proficiency using Databricks for data engineering, modeling, and deployment

- Experience with distributed computing platforms (Hadoop, Apache Spark, Pig, Hive, etc.)

- Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc

- (SQL Server, PostGres, Oracle)

- Experience in ETL / ELT processes (specifically through linked servers / Open Query)

- Experience creating dashboards / stories in Tableau

- Experience with process design and Agile practices

Preferred:

- Experience with operations research techniques (Monte Carlo, Markov Chain, queuing theory, etc.)