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Business Intelligence Engineer, Ring Data Science and Engineering
Amazon, Bangalore, Any
BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, 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 modelingDESCRIPTIONRing is looking for an insightful and analytical Business Intelligence Engineer with strong business and technical skills to join our Business Intelligence team. In this role, you will partner with product management, engineering, quality assurance and other BI teams that power Ring. Your work will be instrumental to achieving its mission, be highly visible to Ring / Amazon leadership, and will drive key strategic company goals. You will develop models and tools, conduct statistical analyses, evaluate large data sets, and create tailored models and dashboards. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and competitive research.Key job responsibilities- Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format- Work with the ios and Android development and product teams to identify gaps and trends.- Analyze large data sets using a variety of database query and visualization tools- Provide technical expertise in extracting, integrating, and analyzing critical data- Anticipate, identify, structure, and solve critical problems- Design and develop key performance metrics and indicators using standardized and custom reports- Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases.- Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base- Partner with subject matter experts to document and translate business requirements into technical requirements- Manage multiple projects and proactively communicates issues, priorities, and objectives- Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base- Partner with BI architects to provide valuable inputs to remodel the existing data warehouse.About the teamThe Ring Data Science and Engineering (RDSE) Org is responsible for the data strategy, architecture, governance, science, and software services Ring teams use to inform business strategy or power experiences with data. The central Data Science and Analytics team (within RDSE and the team where this role is based) is responsible for core business metrics, shared data models, AI/ML models, business intelligence dashboards, and business analysis/science support. We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDPREFERRED 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 datasetsSalary: . Date posted: 04/04/2024 09:32 AM
Manager BIE
Amazon, Bangalore, Any
BASIC QUALIFICATIONS- 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience with SQL- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning softwareDESCRIPTIONAmazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. The AOP team is an integral part of this and strives to provide Analytical Capabilities to fulfil all customer processes in the IN-ECCF regions.The Business intelligence engineer Manager would support the analytical requirements of the IN-ECCF Operations Analytics team. Candidate will be responsible for leading a team of BAs, BIEs, DEs to conducting deep dive analyses to solve complex business problems and to build robust/automated BIE solutions. He/she will also be responsible for driving analytical strategy for their respective function and enable data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence. This position requires exceptional managerial skills, excellent statistical knowledge, superior analytical abilities, good knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE Manager will also be a good stakeholder manager as he/she will have to work closely with senior Ops stakeholders/leaders. Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess strong attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.Key job responsibilitiesResponsibilities:* Design, write, and drive detailed specifications for development and maintenance of robust reporting and other analytical systems* Drive development of quantitative models necessary for evaluation and implementation of metrics* Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.* Working with partner tech teams to deliver an integrated roadmap* Managing a team of BAs, BIEs, DEs and Data Scientists to delivery roadmap projects while also delivering their personal learning goals and growth* Building OP plans by working closely with senior leadership and stakeholdersWe are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDPREFERRED QUALIFICATIONS- 4+ years of working with very large data warehousing environment experience- 6+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience- Past Data Engineering experience is preferred. Knowledge of building production pipelines using AWS Services (such as NAWS, Lambda, Kinesis, Firehose, S3 etc.).Salary: . Date posted: 04/20/2024 09:01 AM