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Business Intelligence Engineer, Amazon

Business Intelligence Engineer, Amazon

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Amazon

2 - 7 years

22 - 25 Lacs

bengaluru

Posted:-1 days ago| Platform:

Apply

Skills Required

microstrategy data analysis data modeling data structures oracle business intelligence technical support monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

A day in the life A day in the life of a BIE-I will include: Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers 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. About the team This central BIE team within ASCS will be responsible for building a structured analytical data layer, bringing in BI discipline by defining metrics in a standardized way and establishing a single definition of metrics across the catalog ecosystem. They will also identify clear sources of truth for critical data. The team will build and maintain the data pipelines for critical projects tailored to the needs of ASCS teams, leveraging catalog data to provide a unified view of product information. This will support real-time decision-making and empower teams to make data-driven decisions quickly, driving innovation. This team will leverage advanced analytics that can shift us to a proactive, data-driven approach, enabling informed decisions that drive growth and enhance the customer experience. This team will adopt best practices, standardize metrics, and continuously iterate on queries and data sets as they evolve. Automated quality controls and real-time monitoring will ensure consistent data quality across the organization. 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience applying basic statistical methods (e.g. regression) to difficult business problems Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) Bachelors degree in engineering, statistics, computer science, mathematics, or a related quantitative field Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark) Masters degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Experience in the data/BI space Experience in designing and implementing custom reporting systems using automation tools Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)

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Business Intelligence Engineer, Amazon