Amazon Business Intelligence Engineer Amazon 

India, Karnataka, Bengaluru 

661436136

As a Senior BIE, you will lead the data and reporting requirements for ASCS programs and projects. Your role will involve close engagement with senior leaders to generate insights and conduct deep dives into key metrics that directly influence organizational strategic decisions and priorities. You will demonstrate a high proficiency in complex SQL scripting, often combining various data sets from diverse sources. You will own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business decisions. You will simplify and automate reporting, audits, and other data-driven activities. You will develop and drive best practices in data integrity, consistency, validations, and documentation. You will serve as a technical and analytical leader for the team, providing guidance and expertise to others on complex business and data challenges. Consistently deliver high-quality, timely results that demonstrate your deep subject matter expertise.You will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will structure ambiguous problems and design analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements.You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively uncover new insights that drive decision-making by senior leadership. As a key member of the CSP team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives.Key job responsibilities
* Lead the design, implementation, and delivery of BI solutions for ASCS
* Manage and execute end-to-end projects, including stakeholder management, data gathering/manipulation, modeling, problem-solving, and communication of insights
* Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data-driven decisions
* Earn the trust of customers and stakeholders by understanding their needs and solving problems with technology
* Work closely with business stakeholders and senior leadership to review roadmaps and contribute to strategy
* Apply multi-domain expertise to own the end-to-end roadmap and analytical approach for complex problems
* Translate business requirements into analysis plans, review with stakeholders, and maintain high execution standards
* Proactively work with stakeholders to define use cases and standardized analytical outputs
* Scale data processes and reports through efficient query development and automation
* Demonstrate deep knowledge of available data sources to enable comparative and complex analyses
* Actively manage project timelines, communicate with stakeholders, and represent the team on initiatives
* Build and manage high-impact business review metrics, reports, and dashboards
* Provide BI solutions for loosely defined problems, deliver large-scale analytical projects, and highlight new opportunities
* Optimize code quality and BI processes to drive continuous improvement
* Extract, transform, and load data from multiple sources using SQL, scripting, and ETL toolsA day in the life
A day in the life of a BIE-III will include:* Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers.
* Lead the BIE team and own the execution of BIE projects.
* Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making
* Leading reporting and analytics initiatives to drive data-informed decision making
* Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight
* Transforming complex business requirements into actionable analytics solutions
* Solving ambiguous analyses with less well-defined inputs and outputs, driving to the heart of the problem and identifying root causes
* Handling large data sets in analysis through the use of additional tools
* Deriving recommendations from analysis that significantly impact a department, create new processes, or change existing processes
* Understanding the basics of test and control comparison, and providing insights through basic statistical measures such as hypothesis testing
* Identifying and implementing optimal communication mechanisms based on the data set and the stakeholders involved
* Communicating complex analytical insights and business implications effectively

- 10+ years of professional or military experience
- 6+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in the data/BI space
- Knowledge of data warehousing and data modeling
- Demonstrate proficiency in SQL, data analysis, and data visualization tools like Amazon QuickSight/Tableau to drive data-driven decision making
- Experience with statistical analytics and programming languages (e.g., Python, Java, Ruby, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark) to build and maintain data pipelines and ETL processes
- Experience applying basic statistical methods (e.g. regression, t-test, Chi-squared) as well as exploratory, deterministic, and probabilistic analysis techniques to solve complex business problems.
- Track record of generating key business insights and collaborating with stakeholders.- Superior verbal and written communication and presentation skills, experience working across functional teams and senior stakeholders.
- Track record of building automated, scalable analytical solutions
- Bachelors or Masters in Computer Science, Mathematics, Statistics, Operations Research, Data Science, Economics, Business Administration, or a similar related discipline