Amazon BI Engineer OpsTech Solutions 

United States, Texas, Austin 

88817071

Key job responsibilities
- Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
- Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
- Development of dashboards and reports.
- Partner with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to gain insights into capabilities and limitations.
- Deliver minimally to moderately complex data analysis;
- Manage the timeline and deliverables of projects, anticipate risks and resolve issues.
- Adopt best practices in reporting: data integrity, test design, validation, and documentation.- Have proven track record of launching new products, solutions and managing projects end to -end.
- Excellence verbal and written communication skills.
- Comfortable wearing multiple hats and go over and above to drive results.A day in the life
A day in the life- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Build knowledge of latest technologies, tools, methodologies, and best practices and distill that information across the analytics organization.- Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy.
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab

- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Excellent communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights
- Strong analytic strategy skills; for this role creating analysis ideas is just as important as the ability to do the analysis