Business Intelligence Engineer - Ii

Summary:
As a Business Intelligence Engineer, you will generate insights that will guide product and program development for our customers. Data analysis is at the core Client’s culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using data from across Company.
Responsibilities:

• Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data
• Apply data mining, quantitative analysis, and statistical models to understand how our customers interact with us and identify the best opportunities to improve the customer experience and meet our goals
• Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
• Build various data visualizations to tell the story and let the data speak for itself
• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance
• Build decision-making models and propose solutions for the business problem you defined
• Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication
• Recognize and adopt best practices in reporting, analysis, and experiment design: data integrity, analysis, validation, and documentation

Basic Qualifications:

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quick sight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and MATLAB
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred qualifications

• 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 large-scale, complex datasets

Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.