What are the responsibilities and job description for the Business Intelligence Engineer position at ITTalentForce?
Job Description
Job Title : Business Intelligence Engineer
Location : New York City, NY (Onsite preferred)
Contract Duration : 6 months with a high possibility of extension
Key Responsibilities :
- Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline,
- reporting, to support long-term business strategies
- Simplify and re-invent current data solutions to support the business scope expansion
- Explore and deep dive into new areas across various ad programs as well as business functions
- to support business decision-making
- Translate business problems into data questions, find solutions to solve those questions with
- resourcefulness
- Present analytical findings and recommendations to business leadership
- Work cross-functionally with other teams in various job families to gather data sources to
- provide a comprehensive view of the business, inclusive of supply, demand, sales, operations,
- shopper, etc.
- Recognize and adopt best practices in reporting / analysis : data integrity, test design, analysis,
- validation, and documentation
Requirements
Qualifications & Skills Required :
Preferred Skills :
Requirements
Qualifications & Skills Required : 3 years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data modelling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling Experience in Statistical Analysis packages such as R, SAS and MATLAB Experience with data visualization using Tableau, Quick sight, or similar tools Knowledge of SQL and data warehousing concepts Preferred Skills : Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with largescale, complex datasets. Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the leadership
