• Us Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 11th Nov 2021

ONLY  USC or GreenCard.  ---Exceptional verbal and written communication in English.  Teams are remote and anyone with heavy accent, slow speech, repetitive speech, use of filler words is not going to work regardless of their technical skills. 

The Job: What you do

Collaborate with business and technology teams to translate business objectives into data driven solutions

Strong aptitude for quickly learning business operational, process, delivery and revenue models

Work with team leads to discover data sources, and create data requests

Work with data engineers to develop and utilize the ETL process to ingest and enrich structured and unstructured data

Perform exploratory data analysis, generate and test working hypotheses, prepare and analyze historical data and identify patterns; 

Perform data analytics, develop complex dashboards and reproducible visualizations, machine learning and statistical analysis methods

Contribute in developing dashboards, UI and interactive tools to support to help the team to turn their data into actionable insights and reproducible reports

The Skills: What you bring

• 5+ years experience identifying and applying methods to cleansing data quality issues
• 5+ years experience writing SQL Queries, acquiring data from primary and secondary data sources and maintaining databases
• 5+ years experience managing Logical and Physical Data models and in translating functional artifacts into data requirements
• 5+ experience in establishing data dictionaries, data models and documenting technical requirements
• 5 + experience with using a 3NF approach and data modeling tools (Erwin/Idera)
• 5 + experience in working with data management concepts and activities including industry best practices for data sourcing, key data elements, and
  data quality
• Understanding of how data shape impacts AI/ML algorithm feasibility (e.g., regression data models vs. matrix completion data models)